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@im-ajaymeena
im-ajaymeena committed Jul 27, 2023
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18 changes: 10 additions & 8 deletions README.md
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# Check my resume

[AjayMeena_Resume.pdf](https://github.com/im-ajaymeena/Resume/releases/download/latest/AjayMeena_Resume.pdf)


# CI/CD Resume with Docker
# Build Resume CI/CD with Docker and Latex

### Running locally
- Steps to run
Expand All @@ -12,11 +7,18 @@
cd Resume
docker compose up
```
- resume.tex file is being continuously monitored and any change in it triggers latexmk command <br /> to generate updated PDF. This is being done with ```latex\monitor.sh```

- resume.tex file is being continuously monitored and any change in it triggers latexmk command <br /> to generate updated PDF. This is being done with ```latex/monitor.sh```
- output resume would be at ```latex/output/resume.pdf```
<br />

### Continuous Deployment
- `push` on main branch create release attached with pdf coresponding to latex tex file in main

- `push` on develop branch create artifact of pdf coresponding to latex tex file in develop


# Check my resume

[AjayMeena_Resume.pdf](https://github.com/im-ajaymeena/Resume/releases/download/latest/AjayMeena_Resume.pdf)

<img src="https://github.com/im-ajaymeena/Resume/releases/download/latest/AjayMeena_Resume.jpg" alt="AjayMeena_Resume" width="773" height="1107">
206 changes: 120 additions & 86 deletions latex/resume.tex
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\usepackage{enumitem}
\usepackage{fontspec}
% being imported manually at /usr/share/fonts
\setmainfont{Calibri}
\setmainfont[Ligatures=NoCommon]{Calibri}

\usepackage{array}
\setlength{\textfloatsep}{0.1cm}
\newcommand{\SubItem}[1]{
{\setlength\itemindent{13pt} \item[\raisebox{.25\height}{\tiny\square}] #1}
}

\newfontfamily\roboto{Roboto}[LetterSpace=1.1,Scale=1.1,WordSpace=1.1,FontWeight=400]
\titleformat{\section}[block]
{{\vspace{-2pt}}\large\centering}% format
{{\vspace{-2pt}}\large\centering\roboto}% format
{}%label
{0em}%seperation
{\colorsection} %
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% \titlespacing{command}{left spacing}{before spacing}{after spacing}[right]
\titlespacing{\part}{0pt}{11pt}{-0.5pt}[0pt]
\titlespacing{\section}{0pt}{1pt}{-2pt}[0pt]
\titlespacing{\subsection}{0pt}{4pt}{-6.5pt}[0pt]
\titlespacing{\subsection}{0pt}{0pt}{-6.5pt}[0pt]


\newcommand\scl{1.05}
Expand All @@ -72,74 +73,99 @@
%%For Japanese font
\usepackage{xeCJK}
\setCJKsansfont{IPAGothic}

\begin{document}

\renewcommand{\labelitemi}{\raisebox{0.30ex}{\scalebox{0.4}{$\blacksquare$}}}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%


\begin{center}
\begin{tabular}{@{}l@{}}
\small\faLinkedinSquare \hspace{1pt} \href{https://www.linkedin.com/in/meena-ajay/}{LinkedIn}\\[1.5pt]
\small \textbf{Birth Date}: 20 Dec, 1996
\end{tabular}%
\hfill
\begin{varwidth}{\textwidth}
\centering \fontsize{25}{60}\selectfont
\hspace{2}\fontsize{25}{60}\selectfont
\firstletter{Ajay Meena}

\end{varwidth}%
\end{tabular}%
\hfill
\begin{tabular}{@{}r@{}}
\small \faPhone \hspace{1pt} +81-07085914373 \\[1.5pt]
\small \faEnvelope \hspace{1pt} \href{mailto:[email protected]}{[email protected]} \\
[1.5pt]
\small \faEnvelope \hspace{1pt} \href{mailto:[email protected]}{[email protected]} \\[1.2pt]
\small\faLinkedinSquare \hspace{1pt} \href{https://www.linkedin.com/in/meena-ajay/}{LinkedIn} \hspace{1pt}
\small \faGithub \hspace{1pt} \href{https://github.com/im-ajaymeena}{GitHub} \hspace{1pt} \\
\small \faPhone \hspace{1pt} +81-07085914373 \\[1.2pt]
% \small \textbf{DOB}: 20 Dec, 1996
\end{tabular}%
\end{center}

\section{\scshape{Technical Skills}}

\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\renewcommand{\labelitemi}{\raisebox{0.30ex}{\scalebox{0.4}{$\blacksquare$}}}
\item \textit{Languages}/\textit{Frameworks}: Python, PyTorch, C++, Flask, Django, Golang, Terraform, SQL, VueJS, JavaScript, TypeScript, Tkinter, Bash, \LaTeX, ONNX, TensorRT, OpenCV
\item \textit{Software}/\textit{Platforms}: Git, GitHub Actions, Docker, Google Cloud Platform, Kubernetes, DVC, Grafana, MATLAB, Conda, Milvus, Cypress, Apache Spark
\end{itemize}

\section{\scshape Work Experience}
\subsection{{\textbf{\scalebox{\scl}{\textbf{Software and AI Engineer}}} | \href{https://www.nablas.com/}{NABLAS, Tokyo} } \hfill\scalebox{0.9}{[Aug'22-Present]}}
\subsection{{\textbf{\scalebox{\scl}{\textbf{AI \& Software Engineer}}} | \href{https://www.nablas.com/}{NABLAS, Tokyo} } \hfill\scalebox{0.9}{[Aug'22-Present]}}
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\item \textbf {iLect System: EdTech computing platform for AI engineers}
\SubItem{Designed and implemented new features in collaboration with a team of 4+ developers using Agile/Scrum methodology }
\SubItem{Developed backend APIs with Django REST Framework, frontend with VueJS, TypeScript, Vuex, OpenAPI}
\SubItem{Maintained Kubernetes HPC cluster with CPU/GPU (CUDA) servers running JupyterLab, using Terraform}
\SubItem{Continuous deployment on GCP and testing of frontend/backend using GitHub Actions, and monitoring using Grafana}

\item \textbf {Deep Learning models as WebApp}
\SubItem{Integrated inference APIs in Flask/Gradio with Frontend, Designed CI/CD strategies (\href[pdfnewwindow=true]{https://demo.nablas.com/visual-inspection}{Anamoly Detection}, \href[pdfnewwindow=true]{https://demo.nablas.com/tts}{Text-to-Speech})}

\item \textbf {Japanese Traffic Sign Detection | Client Project}
\SubItem{Utilized multi-modal vision/language model for unsupervised localization | Designed Few-shot classification method}
\SubItem{Created Japanese Traffic Sign Classification dataset (35 classes) with the designed query-based object-detection model}

\item \textbf {Dynamic Modelling of Spur-Gear, Bearing, Shaft to automize fault detection | Client Project}
\SubItem{Formed dynamic model of a mechanical system consisting of gear, bearing, and shaft using second-order ODEs}
\SubItem{Formulated and solved the ODEs governing the motion of the system to obtain simulated vibration response in Python}


\item \textbf {Multi-Modal Search Engine for Large Knowledge Base}
\SubItem{Designed microservices-based system architecture | Development of APIs for Vector-Store, Cloud Integration, User \\ authentication, Database Monitoring | Surveyed OSS models for converting media information into latent feature space}

\item \textbf {OCR for Japanese Text for Esoteric Fonts | AI Consulting}
\SubItem{Trained DBNet for text-localization with 82\% F-score \& SVTR Model for recognition with accuracy 91\% on synthetic-dataset}
\SubItem{Utilized OSS Grammar Checker for validation of extracted text | Client side frontend only Web App with ONNX.js}

\item \textbf {Fake Image Classification | AI Consulting}
\SubItem{Collected Real and Generated Fake Data from diffusion models with synthesized prompts for training on Custom Domain}
\SubItem{Analysed Artifacts in Frequency Domain of Generated Images from Different diffusion based Text-to-Image models }
\SubItem{Trained Swin Transformer based model achieved 98\% accuracy| Grad-CAM/Shap Value for Interpretability of Predictions}

\item \textbf {iLect System: EdTech Web Platform}
\SubItem{Collaborating with a team of 4+ developers in Agile/Scrum methodology to design and implement new features}
\SubItem{Reduced database migration time from 5hrs to 20min by utilizing Cloud Run Job \& uinx socket connection to Cloud SQL}
\SubItem{Developing backend APIs with Django REST framework, frontend with VueJS, TypeScript, Vuex, OpenAPI}
\SubItem{Continuous deployment on GCP and testing frontend/backend services using GitHub Actions, and monitoring with Grafana}
\SubItem{Maintenance of Kubernetes HPC cluster with CPU/GPU (CUDA) servers running JupyterLab on GKE, using Terraform}

\item \textbf {Japanese Traffic Sign Detection | AI Consulting}
\SubItem{Utilized multi-modal vision-language model for object localization | Trained Few-shot classification on custom data}
\SubItem{Created Japanese Traffic Sign Classification dataset (35 classes) with the developed query-based object-localization}



% \item \textbf {\href{https://www.nablas.com/demo}{Deployed Deep Learning models as Web Applications}}
% \item \textbf {Deployed Deep Learning models as Web Applications}
% \SubItem{Integrated inference APIs in Flask/Gradio with frontend in VueJS | Created CI/CD processes for deployment to GCP}

\item \textbf {No-Code ML Web Platform}
\SubItem{Integrated training/inference APIs with frontend | Used Celery, Redis for asynchronous task processing and task queue}


\item \textbf {Physical Modelling for RUL estimation | AI Consulting }
\SubItem{Formed a dynamic model of a mechanical system consisting of gear, bearing, and shaft using second-order ODEs}
\SubItem{Formulated and solved the ODEs governing the motion of the system to obtain simulated vibration response using scipy}
\end{itemize}


\subsection{{\textbf{\scalebox{\scl}{\textbf{Assistant Researcher}}} | \href{https://www.hitachi.com/rd/about/location/crl/index.html}{Hitachi R\&D Lab, Tokyo} } \hfill\scalebox{0.9}{[Aug'22-Present]}}
\subsection{{\textbf{\scalebox{\scl}{\textbf{Assistant Researcher}}} | \href{https://www.hitachi.com/rd/about/location/crl/index.html}{Hitachi R\&D Lab, Tokyo} } \hfill\scalebox{0.9}{[Dec'20-July'22]}}

\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]

% \setbeamertemplate{itemize item}{\raisebox{22ex}{$\bullet$}\hskip10em}

\item \textbf {Expanded Person Retrieval system to dark/night environment}
\SubItem{Designed ViT based Infrared \& RGB cross-modal Re-id model using novel patch augmentations with 71\% Rank@1 accuracy}
\SubItem{Superheadead the construction of Cross-Modal Reid dataset, 10 times larger than the size of publicly available benchmark}
\SubItem{Reduced dataset annotation cost from 1890hrs to 200hrs by developing AI models based semi-automatic annotation tool}
\SubItem{Submitted Patent on Multi-Modal tracking system which adaptively utilizes both Infrared \& RGB based visual-features}
\vspace{3pt}
\item \textbf {Aerial View Object Detection for Drones}
\SubItem{Improved detection accuracy on small objects by utilizing sliced-inference with object-detection models (YOLOX, YOLOv5)}
\SubItem{Optimized production-level model with TensoRT, ONNX, OpenVINO. Benchmarked models' memory, GFLOPs, accuracy, FPS}
\vspace{3pt}
\item \textbf {Task-aware Quality Estimation of Peson image}
\SubItem{Designed models and training strategies to measure the informativeness of person images in an unsupervised manner}
\SubItem{Reduced the storage requirements of the tracking algorithm by 10 times by selectively storing informative person-crops}
\SubItem{Designed ViT based Infrared \& RGB cross-modal Re-id model using novel patch augmentations with 71\% rank@1 accuracy}
\SubItem{Completed construction of cross-modal Re-id dataset, 10 times larger than the size of publicly available benchmark}
\SubItem{Reduced dataset annotation cost from 1890hrs to 200hrs by developing AI model based semi-automatic annotation tool}
\SubItem{Submitted a patent on Multi-Modal tracking system which adaptively utilizes both infrared \& RGB based visual-features}

\item \textbf {Aerial View Object Detection}
\SubItem{Improved detection accuracy on small objects with sliced-inference technique for object-detection models (YOLOX etc.)}
\SubItem{Optimized production-level model with TensoRT, ONNX and OpenVINO. Benchmarked memory, GFLOPs, accuracy, FPS}
\SubItem{Impact: Our team won the contract for building the Tokyo Metropolitan govt. disaster monitoring system worth 77M¥}

\item \textbf {Task-aware Quality Estimation of Person image}
\SubItem{Designed models and training strategies to measure the informativeness of person image in an unsupervised manner}
\SubItem{Achieved 10x reduction in storage requirements for tracking algorithm by selectively storing informative person-images}
\end{itemize}


Expand All @@ -153,17 +179,17 @@ \subsection{{\textbf{\scalebox{\scl}{\textbf{Assistant Researcher}}} | \href{htt
\section{\scshape{Education And Internship}}
\subsection{{\textbf{\scalebox{\scl}{Indian Institute of Technology Mumbai (IIT-Mumbai)}} | India } \hfill\scalebox{0.9}{[Jul'15-Jul'20]}}
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\item Pursued B.Tech \& M.Tech in Electrical \& Electronics Eng. | Secured {CGPA of 8.38/10} | Master's Thesis in Person-Tracking
\item{Semester Exchange Ko\c{c} University, Turkey | Secured \textbf{SGPA of 9.5/10} | Received \textbf{Erasmus scholarship } of 4,200 EURO }
\item{B.Tech \& M.Tech in Electrical \& Electronics Eng. | Master's Thesis in Person-Tracking | Secured CGPA of 8.38/10}
\item{Semester Exchange Ko\c{c} University, Turkey | Secured SGPA of 9.5/10 | Received Erasmus scholarship of 4,200 EURO}
\end{itemize}

% \vskip \endpar

\subsection{{\textbf{\scalebox{\scl}{Automated test rig for Electric-Vehicle}} | Greendzine Technologies, Banglore} \hfill\scalebox{0.9}{[May'18-Jul'18]}}
\subsection{{\textbf{\scalebox{\scl}{Automated test rig for Electric-Vehicle}} | Greendzine Technologies, Bangalore} \hfill\scalebox{0.9}{[May'18-Jul'18]}}
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\renewcommand{\labelitemi}{\raisebox{0.30ex}{\scalebox{0.4}{$\blacksquare$}}}
\item Developed the \textbf{design verification plan} for finished goods and \textbf{programmed control flow} for vehicle subsystem-level testing
\item \textbf{Impact:} Proposed design was \textbf{finalized by company CTO, director} and sent for manufacturing
\item Developed the design verification plan for finished goods and programmed control flow for vehicle subsystem-level testing
\item Impact: Proposed design was accepted by the company CTO and director for manufacturing
\end{itemize}

%########################################################################
Expand All @@ -180,23 +206,22 @@ \subsection{{\textbf{\scalebox{\scl}{Automated test rig for Electric-Vehicle}} |


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{\scshape{Technical And Organisational Skills}}

\subsection{{\textbf{\scalebox{\scl}{Programming \& Softwares}}}}
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\renewcommand{\labelitemi}{\raisebox{0.30ex}{\scalebox{0.4}{$\blacksquare$}}}
\item \textit{Languages}/\textit{Libraries}: Python, C++, Flask, Django, Tkinter, PyTorch, Vue.js, TypeScript, HTML, Bash, \LaTeX, SQL, Terraform
\item \textit{Softwares/Platforms}: Git, GitHub Actions, Docker, Google CLoud Platform, Kubernetes, Grafana, MATLAB, Autocad, LabVIEW
\end{itemize}

\subsection{{\textbf{\scalebox{\scl}{Leadership Skills}}}}
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\renewcommand{\labelitemi}{\raisebox{0.30ex}{\scalebox{0.4}{$\blacksquare$}}}
\item IITB Academic Council Design Nominee: Part of a \textbf{30 member team} dedicated to improving the institute educational system
\item Teaching Assistant | Image Processing: Coordinated in a team in preparing and evaluating semester exams of \textbf{100+ students}
% \section{\scshape{Technical And Organisational Skills}}
% \section{\scshape{Technical Skills}}

% \subsection{{\textbf{\scalebox{\scl}{Programming \& Softwares}}}}
% \begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
% \renewcommand{\labelitemi}{\raisebox{0.30ex}{\scalebox{0.4}{$\blacksquare$}}}
% \item \textit{Languages}/\textit{Framework}: Python, PyTorch, C++, Flask, Django, Terraform, SQL, Vue.js, TypeScript, HTML, Tkinter, Bash, \LaTeX
% \item \textit{Software}/\textit{Platforms}: Git, GitHub Actions, Docker, Google Cloud Platform, Kubernetes, Grafana, MATLAB, Conda
% \end{itemize}

\end{itemize}
% \subsection{{\textbf{\scalebox{\scl}{Leadership Skills}}}}
% \begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
% \renewcommand{\labelitemi}{\raisebox{0.30ex}{\scalebox{0.4}{$\blacksquare$}}}
% \item IITB Academic Council Design Nominee: Part of a 30-member team dedicated to improving the institute's educational system
% \item Teaching Assistant, Image-Processing: Coordinated with a team in preparing/evaluating semester exams of 100+ students
% \end{itemize}



Expand All @@ -209,33 +234,42 @@ \subsection{{\textbf{\scalebox{\scl}{Leadership Skills}}}}


\section{\scshape{Other Relevant Projects}}

\vspace{1}

% ##################################################
\subsection{\scalebox{\scl}{Real-time Speech Emotion Recognition using CNNs} }
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\item Implemented shallow \textbf{CNN} using Keras framework in \textbf{Python} for determining emotional state from \textbf{raw speech} segments

\item \textbf {Real-time Emotion Recognition using CNNs from raw speech segments}
\item \textbf {Voice Conversion using Conditional WaveNet by conditioning the output on spectrogram of target speaker identity}
\item \textbf {Linear Programming based modelling for parking facility of autonomous vehicles}
\item \textbf {Genetic Algorithm based magnetic characterization for estimation of hysteresis model parameters}

\end{itemize}

\vspace{\otherProjectsSubsectionGap}
\subsection{\scalebox{\scl}{Voice Conversion using Conditional WaveNet} }
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\item Implemented voice conversion model by conditioning the output on \textbf{input spectrogram} and target speaker identity
\end{itemize}
% \subsection{\scalebox{\scl}{\textbf{Real-time Emotion Recognition using CNNs}} }
% \begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
% \item Implemented light-weight CNN in Python's Keras library for determining emotional state from raw speech segments
% \end{itemize}

\vspace{\otherProjectsSubsectionGap}
\subsection{\scalebox{\scl}{Linear Programming Based Parking Facility} }
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\item Reviewed and implemented advanced \textbf{modeling parking facility} for autonomous vehicles using Linear Programming
\item Implemented \textbf{Benders decomposition algorithm} for optimizing nonlinear model using Mixed-Integer Programming
\end{itemize}
% \vspace{\otherProjectsSubsectionGap}
% \subsection{\scalebox{\scl}{\textbf{Voice Conversion using Conditional WaveNet} }}
% \begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
% \item Implemented voice conversion model by conditioning the output on input spectrogram and target speaker identity
% \end{itemize}

\vspace{\otherProjectsSubsectionGap}
\subsection{\scalebox{\scl}{Genetic Algorithm-based Magnetic Characterization} }
\begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
\item Developed a \textbf{genetic algorithm} in visual programming language(\textbf{LabVIEW}) for estimation of hysteresis model parameters
\item \textbf{Impact}: Built setup was first of its kind to calculate the parameters in real-time | Received \textbf{Letter of Recommendation}
\end{itemize}
% \vspace{\otherProjectsSubsectionGap}
% \subsection{\scalebox{\scl}{\textbf{Linear Programming Based Parking Facility} }}
% \begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
% \item Reviewed and implemented advanced modelling for parking facility of autonomous vehicles using Linear Programming
% \item Implemented Benders decomposition algorithm for optimizing nonlinear model using Mixed-Integer Programming
% \end{itemize}

% \vspace{\otherProjectsSubsectionGap}
% \subsection{\scalebox{\scl}{\textbf{Genetic Algorithm-based Magnetic Characterization} }}
% \begin{itemize}[topsep=\itembefore,itemsep=\itemgap,partopsep=0pt, parsep=0pt]
% \item Developed a genetic algorithm in visual programming language(LabVIEW) for estimation of hysteresis model parameters
% \item Impact: Built setup was the first of its kind to calculate the parameters in real-time | Received letter of recommendation
% \end{itemize}

% \vspace{\otherProjectsSubsectionGap}
% \subsection{\scalebox{\scl}{Adaptive Echo Cancellation (AEC)} }
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