Resume

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% name
\centerline{\Huge Aryan Vinod Keluskar}

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\centerline{ \color{blue}{\href{https://www.linkedin.com/in/aryankeluskar/}{linkedin.com/in/aryankeluskar}} \color{black}{|}  \color{blue} \href{https://www.github.com/aryankeluskar}{github.com/aryankeluskar}  
\color{black}{|
(602) 552-6402 | \href{mailto:akeluska@asu.edu}{akeluska@asu.edu} }}

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% education section
\section*{Education}

\textbf{BS in Computer Science}, Minor in Statistics \hfill \textit{Expected Graduation:} May 2026 \\
 \href{https://barretthonors.asu.edu/}{\textbf{Arizona State University} (The Barrett Honors College)} \hfill GPA: 3.94  \\
\textbf{Coursework:} \textit{Data Structures \& Algorithms, Programming with C/C++, Computer Organization, Assembly, Object-Oriented Programming, Digital Design, Software Engineering, Operating Systems, Information Assurance.}

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\section*{Experience}

\textbf{Undergraduate Researcher}, \href{https://dmml.asu.edu/}{Data Mining and Machine Learning Lab} \hfill April 2024 -- Present \\
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\begin{itemize}
% \item Trained a Time Series model to predict genre-based movie ratings with 90.3\% accuracy. Filtered IMDB’s dataset of over 730,000 entries using SQL and Python, producing a robust dataset. 
% \item Improved accuracy of Natural Language Processing Tasks by enhancing comprehension of ambiguous human text in Large Language Models, in collaboration with Dr. Huan Liu and PhD students.
\item Fine-tuned OpenAI's GPT-4o and 4o-mini models using Python to improve comprehension of ambiguous human text, and co-authored an \textbf{IEEE} BigData paper with Professor Huan Liu and PhD Students.
% \item Improved dataset security for regression modeling by implementing advance encryption schemes. 
\end{itemize}

\textbf{Software Engineering Intern}, \href{https://scikit.bio/}{The Biodesign Institute -- Qiyun Lab} \hfill May 2024 -- August 2024 \\
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\begin{itemize}
  % \item Developed and optimized statistical models in Python, enhancing prediction accuracy for data by 15.5\% and improved statistical significance by 10\% for gut microbe analysis by collaborating with senior researchers.
  % \item Improved Agile \& CI/CD workflows for an open-source Python library for bioinformatics by refactoring inefficient functions. Implemented new functions to resolve codebase warnings by 91.4\%.
  % \item Increased code coverage by 12.5\% by writing unit tests.

    % \item Developed and optimized statistical models in Python, enhancing prediction accuracy for data by 15.5\%.
    \item Created benchmarking and training scripts for Language Models using HuggingFace and Python with PyTorch \& Transformers libraries. Executed workflows on a high-performance computing system using Bash. 
    \item Increased code coverage by 12.5\% by writing unit tests and employed Agile Framework for an open-source bioinformatics library. Updated software packages to resolve codebase warnings by 91.4\%.
    % \item Increased code coverage by 12.5\% by implementing unit tests and updated software packages to resolve 91.4\% of codebase warnings in an open-source Python library for bioinformatics. Applied Agile methodologies to enhance development workflows.
    \item Developed statistical models in Python to improve the statistical significance by 10\% for gut microbe analysis by collaborating with senior researchers. 
    % \item Created and maintained documentation which was presented at the ISMB 2024 Computational Biology Conference, attracting over 200 participants.
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% \textbf{Software Developer}, {EPICS at ASU} \hfill Aug 2024 -- Present \\
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\textbf{Website Development Intern}, \href{https://www.rcvinnovations.com/}{RCV Innovations Pvt. Ltd.} \hfill June 2023 -- July 2023 \\
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\begin{itemize}
\item Developed and optimized backend infrastructure for static assets, digital twins \& 3D models integration on websites using JavaScript and React.js, yielding a 46\% surge in customer shopping satisfaction. 
\item Created Power BI dashboards to display customer behavior data for A/B Testing. Used Google Analytics API and Mattertraffic API to automate data collection, increasing click-through-rate by 29\%.
\item Developed a frontend website using HTML, CSS \& JavaScript, and optimized it for performance and security.

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\section*{Projects}


\textbf{Automated Medical Resource Allocation} | Next.js, TypeScript, Tailwind \hfill \href{https://git.new/ecmo-allocation}{\color{blue} git.new/ecmo-allocation} \\
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\begin{itemize}
\item Automated ECMO Machine allocation for 27+ Maricopa County hospitals by developing a system which integrates into their existing infrastructure. Collaborated in a 6-member team with Mayo Clinic.
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\textbf{EasyWire} | Python, Machine Learning, FastAPI, HTML, CSS, Plaid, Docker \hfill \href{https://dub.sh/easywire}{\color{blue} dub.sh/easywire} \\
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\begin{itemize}
  \item Developed and deployed a machine learning model to analyze foreign exchange market trends and detect currency arbitrage. Achieved 4\% reduction in losses using sentiment analysis and quantitative analysis.
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% \textbf{FreshUntil} | ReactJS, NodeJS, TypeScript, Python, Google Cloud \hfill \href{https://git.new/fresh}{\color{blue} git.new/fresh} \\
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%   \item Developed a full stack web-app that reduces food wastage by  automated expiry notifications, personalized recipe suggestions, and offering surplus food to neighbors. Hackathon Project.
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\textbf{MelodySyncer} | TypeScript, Python, FastAPI, HTML, CSS, Google Cloud \hfill \href{https://dub.sh/melodysyncer}{\color{blue} dub.sh/melodysyncer} \\
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\begin{itemize}
  \item Created an API to convert Spotify songs or playlists to YouTube within 0.2 seconds. Improved performance by 12x with multi-threading and developed a unique scoring algorithm which maximizes speed and accuracy.
\end{itemize}

% \textbf{AI that Solves Minesweeper} | Python \hfill \href{https://git.new/irina}{\color{blue} git.new/irina} \\
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% \begin{itemize}
%   \item Reinforcement Learning model using Q-Learning to solve Minesweeper in near-world record time by optimizing algorithms and multi-threading. Boosted performance by 80\% with a probabilistic approach.
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% \textbf{EdComposer} | ReactJS, NodeJS, TypeScript, OpenAI, AWS Lambda \hfill \href{https://git.new/edcomposer}{\color{blue} git.new/edcomposer} \\
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% \begin{itemize}
%   \item Video generator that uses Artificial Intelligence to create engaging short-form videos for education. Boosted student engagement by 23\%. Improved performance by 600\% with multi-threading.
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% \section*{Projects}
% \begin{itemize}
%   \item \textbf{QuantSoftware Toolkit:} Open source Python library for data analysis and machine learning for finance
%   \item \textbf{GitHub Visualization:} Data visualization of Git Log data using D3 to analyze project trends over time
%   \item \textbf{Recommendation System:} Music and movie recommender systems using collaborative filtering on public datasets
%   \item \textbf{Mac Setup:} Book that gives step by step instructions on setting up developer environment on Mac OS
% \end{itemize}

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% skills section
\section*{Skills}
\textbf{Languages:} Java,  C++, Python, JavaScript, SQL, C, Julia, Golang, Scheme, Prolog \\
\textbf{Technologies:} Linux / Unix, GitHub, Raspberry Pi, Arduino, Docker, Power BI, Plaid, Stripe API, OpenAI\\
\textbf{Full-Stack Development:} HTML, CSS, TypeScript, JavaScript, Node.js, React.js, Next.js, MongoDB, SQL, SSL, DigitalOcean, Amazon Web Services (AWS), Google Cloud Platform (GCP), Google OAuth, Tailwind \\


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\section*{Leadership \& Awards}
\href{https://hackmit.org}{\textbf{HackMIT 2024}} (\href{https://mit.edu}{Massachusetts Institute of Technology}): Sponsor Award Winner for Best Use of AI without an API; \\
\textbf{SFHacks 2024}: Best Use of AI and Verbwire Track; 
\textbf{Opportunity Hacks}: Top 5 Finalist (among 284 Participants);   \\ 
\textbf{Teaching Assistant and Tutor} for classes: Object-Oriented Programming, Intro to C/C++, Circuit Design
% \textbf{Opportunity Hacks 2023}: Finalist \\
% \textbf{1st Place} Undergraduate Team at WiCS Coding Competition; \textbf{1st Place} at HackerDevils Hackathon \\
% \textbf{\href{https://devlabs.club/}{DevLabs, Industry Director}}: Raised over 5000\$ in Club Funding, Hosted Technical Panel Discussions \\
% \textbf{\href{https://students.engineering.asu.edu/tutoring/}{ASU Engineering Tutoring Center}}: Tutored concepts from Java, C++, and Calculus to 60+ students. \\
\textbf{\href{https://thesoda.io//}{Software Developers Association, Technical Officer}}: Designed and Developed a full-stack website using Next.js 
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