ankit's_resume

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\vspace*{-30pt}
\begin{center}
    {\Huge\bfseries\textcolor{main}{Ankit Bari}}\\[6pt]
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}
\vspace*{-5pt}

\noindent
\large
\href{https://aijadugar.vercel.app/}{Portfolio} \,|\, 
\href{https://github.com/aijadugar}{GitHub} \,|\, 
\href{https://www.linkedin.com/in/aijadugar/}{LinkedIn} \,|\, 
\href{https://huggingface.co/aijadugar/}{Hugging Face}
\hfill
\href{tel:+917875618947}{+91 7875618947} \,|\,
\href{mailto:bariankitvinod@gmail.com}{\textbf{bariankitvinod@gmail.com}} \\[-1pt]

\vspace{-18pt}

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\section*{Summary}
AI Engineer who builds and deploys AI-powered applications using machine learning and deep learning models. Develops multi-agent AI systems, scalable backend REST APIs, and end-to-end AI solutions with a strong problem-solving mindset.
\vspace{-4pt}



\section*{Work Experience}
\textbf{The SMM Hub} \hfill \textit{Mumbai, India} \\
\textit{Jun 2025 -- Nov 2025} \hfill \textbf{AI Researcher Intern}
\vspace{0.2em}
\begin{itemize}
    \item Developed \textbf{AI Chatbot} for lead tracking, achieving \textbf{95\% accurate} user data capture.
    \item Implemented \textbf{fintech authentication backend}, achieving \textbf{150--200 ms request latency} for \textbf{100+ daily users}.
   \item Built and deployed media generation platform to automate \textbf{image and video content creation} for internal teams.
   \item Delivered \textbf{Blog Generation Agent} for the \textbf{SEO team}, automating blog drafting workflows.
\end{itemize}
\vspace{0.5em}
\noindent\textbf{Godrej Infotech} \hfill \textit{Mumbai, India} \\
\textit{Oct 2024 -- Jan 2025} \hfill \textbf{Data Analytics Intern}
\vspace{0.2em}
\begin{itemize}
    \item Built automated \textbf{Power BI dashboards integrating real-time datasets} to track business and marketing performance indicators.
\item Generated \textbf{analytical reports and visualizations} that improved stakeholder visibility into trends, performance, and operational metrics.
\end{itemize}
\vspace{0.5em}
\noindent\textbf{Coincent AI} \hfill \textit{Mumbai, India} \\
\textit{Jul 2024 -- Oct 2024} \hfill \textbf{Artificial Intelligence Intern}
\vspace{0.2em}
\begin{itemize}
    \item Applied \textbf{CNN-based models} for \textbf{CIFAR-10 classification task}, achieving an \textbf{improved F1-score from 0.81 to 0.89} through hyperparameter tuning.
    \item Explored \textbf{Transformer reinforcement learning workflows}, improving model training strategies and reducing convergence time by \textbf{30\%}.
\end{itemize}



\section*{Projects}
\noindent
\textbf{YAR Coin} \hfill
\href{https://yarcoin.vercel.app/}{\textbf{Live}} \,|\, 
\href{https://github.com/aijadugar/YAR-Coin-2.0}{\textbf{Code}} \\[-2pt]
{\small \textit{(React.js, Express.js, MongoDB, Python, Ethereum Sepolia, MetaMask, WebSocket)}}
\begin{itemize}
    \item Built the complete backend for a \textbf{decentralized reputation and reward platform} solving real-world problems for institutions and organizations.
    \item Integrated \textbf{Ethereum Sepolia blockchain, MetaMask authentication, and smart contract transactions} for secure reward distribution.
\end{itemize}
\vspace{0.5em}
\noindent
\textbf{People You May Know} \hfill 
\href{https://pymk.vercel.app/}{\textbf{Live}} \,|\, 
\href{https://github.com/aijadugar/LinkedIn-Style-People-You-May-Know}{\textbf{Code}} \\[-2pt]
{\small \textit{(Next.js, FastAPI, Python, MongoDB, XGBoost, Torch, Graph)}}
\begin{itemize}
    \item Built a \textbf{multi-stage recommendation system} to suggest relevant connections from a graph dataset of \textbf{10,000+ user profiles}.
    \item Implemented pipeline with \textbf{XGBoost} and \textbf{deep neural network} for ranking candidates, achieving high precision in link prediction.
\end{itemize}
\vspace{0.5em}
\noindent
\textbf{GuWiki} \hfill 
\href{https://gu-wiki.vercel.app/}{\textbf{Live}} \,|\, 
\href{https://github.com/aijadugar/GuWiki}{\textbf{Code}} \\[-2pt]
{\small \textit{(Next.js, FastAPI, Python, Torch, Transformers)}}
\begin{itemize}
    \item Created a \textbf{Gujarati Language Model and Speech Recognition (ASR) system} from scratch using \textbf{Gujarati Wikipedia, NEWS and curated text \& audio datasets}.
    \item Designed \textbf{data processing pipelines} for collecting, cleaning, and training on Gujarati text and speech corpora.
    \item Implemented \textbf{Wav2Vec2-based speech-to-text pipelines} and \textbf{AI-powered knowledge retrieval} for regional language accessibility.
\end{itemize}
\vspace{0.5em}
\noindent
\textbf{Technical Support SLM} \hfill 
\href{https://huggingface.co/spaces/aijadugar/ft_slm}{\textbf{Live}} \,|\, 
\href{https://github.com/aijadugar/slm-fine-tuning-technical-bot}{\textbf{Code}} \\[-2pt]
{\small \textit{(Llama 3.2, Unsloth, LoRA, Transformers, Hugging Face, TRL)}} 
\begin{itemize}
    \item Fine-tuned a \textbf{technical support chatbot} with  \textbf{Llama 3.2 (3B)}, using LoRA.
    \item Implemented end-to-end pipeline, \textbf{instruction tuning, model optimization, deployment}, achieving \textbf{efficient CPU inference}.
\end{itemize}



\section*{Education}
\begin{tabular*}{\textwidth}{@{\extracolsep{\fill}} l r}
\textbf{Bachelor of Technology in Artificial Intelligence and Data Science} 
& \textit{2023 -- 2026} \\
\textit{Vidyavardhini's College of Engineering and Technology, Mumbai University}
& \textbf{CGPA: 9.10 / 10.0} \\[6pt]
\textbf{Diploma in Computer Engineering} 
& \textit{2021 -- 2023} \\
\textit{Theem College of Engineering, MSBTE}
& \textbf{Percentage: 85.3\%} \\
\end{tabular*}
\vspace{-9pt}



\section*{Technical Skills}
\textbf{Languages:} Python, C++, Bash, SQL\\[5pt]
\textbf{AI/ML:} LLM-based Agents, Scalable RAG System, Natural Language Processing (NLP), Automatic Speech Recognition (ASR), Model Fine-tuning, Prompt Engineering \\[5pt]
\textbf{Frameworks \& Libraries:} PyTorch, Hugging Face Transformers, Scikit-learn, OpenCV, Pandas, NumPy \\[5pt]
\textbf{Databases:} MongoDB, Vector Database \\[5pt]
\textbf{MLOps \& Tools:} Git, GitHub, Docker, Postman, Jupyter Notebook, Google Colab \\[5pt]
\textbf{Soft Skills:} Team Leadership (Hackathon), Cross-functional Collaboration, Technical Mentoring
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% \textbf{Backend:} Django, FastAPI, Express.js \\[3pt]


\section*{Achievements}
\begin{itemize}
    \item \textbf{Ranked 1st} in the Department of Artificial Intelligence \& Data Science.
    \item \textbf{2nd Place} at VNPS’25 - National-Level Project Showcase, VCET Mumbai.
    \item Developed and Launched \textbf{aynlp} on \textbf{PyPI}, an open-source NLP utility library with \textbf{6,500+ downloads}, enabling developers to solve common NLP tasks efficiently.
    \item Solved \textbf{350+ DSA problems} across competitive programming platforms, achieving a \textbf{peak contest rating of 1500+}.
    \item Earned \textbf{14+ badges on Kaggle}, demonstrating hands-on proficiency in data science and machine learning.
    \item Authored \textbf{3+ technical articles} on AI Agents and Reinforcement Learning, published in VCET Techzette.
\end{itemize}

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