Sanjay Selvakumar

About me

Hello! I am in the Accelerated 3+1 Program for Computer Science at Arizona State University, having completed my Bachelor’s degree in three years and currently pursuing my Master’s degree by May 2025.

I am a passionate software engineer with a solid foundation in computer science and a proven track record of developing innovative solutions. I have grown my technical expertise through diverse academic projects and real-world applications in both startup and internship settings. My dedication to learning and going above and beyond in my contributions allows me to deliver innovative solutions to complex problems.

I am seeking new opportunities where I can leverage my technical skills to create impact and generate value for a company. Let’s connect and explore how I can contribute to your team’s success.

What I Do

Software Engineering

Design and build systems that address real-world challenges with efficiency and precision to deliver reliable software that provides value to users and stakeholders.
Full Stack Development

Combine frontend and backend development to create intuitive solutions and responsive user experiences that optimize both design and functionality.
Collaborative Teamwork

Collaborate within cross-functional teams to bring innovative ideas from concept to execution by emphasizing clear communication of requirements for project success.
Agile Development

Excel in fast-paced environments by adapting to new technologies and methodologies to deliver solutions with flexibility and consistency.

Resume

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Education

Arizona State University

Master of Science in Computer Science

August 2024 – May 2025

Tempe, AZ

Accelerated 3+1 Master's Program

Barrett, The Honors College at Arizona State University

Bachelor of Science in Computer Science

August 2021 – May 2024

Tempe, AZ

Awards: 6x Dean’s List, New American University – Provost’s Award
GPA: 3.94/4.00
Relevant Coursework: Object-Oriented Programming, Data Structures and Algorithms, Distributed Software Development, Cloud Computing, Machine Learning, Artificial Intelligence, Data Processing at Scale, Project/Process/Quality Management

Experience

Loki (Startup)

Co-Founder/Lead Developer (Honors Thesis/Part-Time)

January 2024 – June 2024

Tempe, AZ

Engineered the backend infrastructure for the Loki mobile application with PostgreSQL, Docker, TypeORM, and TypeScript, tailored to features that satisfy the needs of small businesses and consumers.
Led system design efforts for a scalable and reliable backend by establishing coding standards and best practices to optimize database queries, reduce latency, and ensure efficient data processing.
Implemented JWT authentication for stateless session management and user authorization to maintain security and efficiency in client-server interactions with React Native and Axios.
Directed performance testing initiatives by simulating heavy load and high traffic conditions using Postman.
Explored and evaluated Amazon S3, EC2, and ELB for potential deployment, autoscaling, and load balancing strategies, preparing the platform for future production environments and user base expansion.

Lotus Addiction Therapy (Startup)

Software Developer (Capstone Project/Part-Time)

September 2023 – April 2024

Tempe, AZ

Led the integration of new subscription-based payment options and user roles, growing user accessibility and engagement by 25% using React Native, TypeScript, and PostgreSQL.
Conducted cross-platform testing on iOS and Android simulators, performing bug triage and resolving over 20 key functionality issues to enhance app stability and reduce crash rates by over 70%.
Deployed the mobile application to the App Store and Google Play using Expo, AWS Amplify, and AWS Elastic Beanstalk, ensuring reliability and compliance with privacy/security standards.
Managed version control and code reviews on GitHub to streamline development processes, maintain code quality, and foster collaboration across the five-member team.

Cognizant

Software Engineer Intern

June 2023 - August 2023

Boston, MA (Remote)

Enhanced an internal Selenium WebDriver automation testing tool using ASP.NET and C#, addressing bugs and proposing features that optimized test run search filtering and reduced test analysis time by over 50%.
Eliminated performance bottlenecks by reducing SQL query execution time by over 90%, redesigning the interface to simplify workflow management and boosting operational efficiency across TriZetto CareAdvance teams.
Integrated advanced search functionality into an internal tool using Angular, TypeScript, and Azure DevOps REST APIs, enabling faster retrieval of test runs from manual testing and CI/CD pipelines.
Actively contributed in an Agile development environment, collaborating with cross-functional teams, participating in daily standups, and completing user stories and tasks via Azure Kanban Boards and Git.

Projects

Retrieval-Augmented Generation (RAG) for arXiv Papers

Python, PyTorch, NumPy, PIL, RocksDB, FAISS, Docker, Git

October 2024 – December 2024

Extracted text, images, tables, and formulas from arXiv academic papers and converted them into vectorized embeddings using natural language processing (NLP) and vision transformer (ViT) models.
Optimized storage and retrieval by applying indexing and chunking strategies to allow users to query large language model (LLM) for contextual interpretations of paper content.

Graph Data Processing Pipeline

Python, Neo4j, Docker, Kubernetes, Apache Kafka, Pandas

October 2024 - December 2024

Designed a scalable and fault-tolerant system for processing NYC Yellow Taxi trip records in real-time, converting them into a graph structure to identify insights like travel patterns and connectivity.