Passionate NYU CS Master's grad (May '25) focused on engineering scalable, high-performance backend systems and AI-driven solutions. Experienced in Python (FastAPI), Java (Spring Boot), cloud platforms (AWS/Azure), and microservice architectures. Driven by solving complex technical challenges and building impactful software.
New York University
New York, NY, USA
University of Mumbai
Mumbai, Maharashtra, India
Jan, 2024 - April, 2025
Jun, 2024 - March, 2025
Aug, 2021 - Jul, 2022
Spearheaded development of an Al assistant builder leveraging LangChain and OpenAI Embeddings to vectorize documents for domain-specific responses via GPT-40. Redesigned backend from Flask to FastAPI, cutting API latency by 30%. Deployed scalable RESTful APIs supporting 1K+ concurrent users and led Agile sprints.
Engineered scalable backend microservices (Spring Boot/Cloud, Eureka). Containerized services (Docker/Compose). Designed REST APIs for React frontend (SwaggerUI documented). (WIP)
Constructed real-time AWS bidding platform handling 10K+ concurrent sessions (*Verify this number - 10K+ or 20K+?*). Developed non-blocking APIs (30% latency reduction). Built low-latency WebSocket layer (40% latency reduction). Orchestrated event-driven pipeline (SQS/SES, 99% success).
Created a web application for uploading, storing, and searching photos using natural language queries. Leveraged AWS ElasticSearch, S3, and Lambda for automation and scalability.
Created Django/Python social platform pairing users via Spotify data. Established reactive messaging with Redis Pub/Sub (30-40% latency reduction). Deployed on AWS Elastic Beanstalk with CI/CD (87% test coverage).
Built an apartment rental and roommate finder web application with a secure and scalable architecture. Designed an optimized relational database schema for efficient data transactions.
Completed a series of coding challenges focused on data structures and algorithms, simulating real-world technical interview scenarios.
Learn essential Python techniques for data science: lambdas, csv manipulation, DataFrame querying, distributions, sampling, and t-tests.
This course covered implementing Version Control systems, navigating and configuring using the command line, utilizing GitHub repositories, creating GitHub repositories, and effectively managing code revisions.
This course covered fundamentals of User Experience (UX) design and research. It also covered Front-End Web Development, creating wireframes and prototypes in Figma