Writing clean, efficient code and building AI solutions.
I'm a goal-oriented student with experience in Machine Learning, Blockchain, and Full Stack Development. I've worked for startups and enterprises, and enjoy writing new code as well as contributing to open-source projects. I'm optimistic and business-minded, and consider collaboration and communication strong suits.
I graduated from Mumbai University with a bachelor's in Computer Engineering and I am currently pursuing my master's degree in Computer Science at USC. I try to keep up with data structures and algorithms in my free time, and routinely explore ML. When I'm not coding, I'm either outside, traveling, cooking, playing Table Tennis, or reading a history book. I'm also passionate about startups, F1, anime and everything tech. I'm usually wearing a smile.
Projects
PocketLLM
A quantized large language model optimized for deployment on resource-constrained devices, implementing efficient model compression techniques for edge computing applications.
Faithfulness Summariser
A natural language processing system that generates faithful text summaries while maintaining factual accuracy, developed for CSCI 544 coursework using advanced NLP techniques.
Lumiere: XAI Movie Recommender
Explainable AI Movie Recommendations powered by Knowledge Graphs. Uses Node2Vec embeddings and Neo4j to provide not just recommendations, but clear explanations of why you'll love each movie based on actors, directors, and genres.
NeatPDF
A privacy-focused PDF toolkit built with React that allows users to merge, split, reorder, and edit PDF files entirely in the browser. Features 100% client-side processing with no uploads or servers required.
DormSC
A full-stack housing platform for USC students featuring real-time property listings, interactive maps, and secure authentication.
Quantfolio
A full-stack Real-Time Stock Portfolio Analytics Platform.
Intellihealth: Intelligent Health Record System
A blockchain-based electronic health record system ensuring secure digital storage and enhancing patient data accessibility.
Continual Learning: Mitigating Catastrophic Forgetting
A research project comparing continual learning techniques like EWC, Experience Replay and GEM to mitigate catastrophic forgetting.
ConveCam
A smart conveyor belt system using YOLOv4 for real-time object detection with 96% accuracy based on visual attributes.
BlogLang
A full-stack web application with a blog platform and intuitive language translation service across multiple languages.
Experience
Research Software Engineer
University of Southern California
- Overcame data ingestion bottlenecks for 26K+ daily records by architecting distributed Apache Airflow DAGs with parallel task execution, reducing pipeline latency by 60% while ensuring strict ACID compliance for research data.
- Engineered high-throughput microservices using FastAPI and AsyncIO, implementing connection pooling to handle 100+ concurrent requests while maintaining sub-50ms P99 latency during peak load.
- Accelerated deployment cycles by constructing a CI/CD pipeline using GitHub Actions, automating unit/integration testing to cut manual release time by 20% and eliminate environment-specific bugs.
- Diagnosed critical CPU bottlenecks using cProfile, optimizing expensive object allocations and loop overheads to reduce server resource consumption by 47%.
Software Engineering Intern
BMH Technologies
- Architected event-driven Python microservices to process high-velocity telemetry data, utilizing Redis for message buffering to achieve <200ms end-to-end latency and improving anomaly detection accuracy by 25%.
- Eliminated 40+ hours/week of manual operational overhead by engineering robust SQL ETL pipelines, automating complex joins and validation across 12 tables with zero data integrity loss.
- Developed interactive monitoring dashboards using React and Plotly, rendering real-time operational metrics from PostgreSQL to reduce incident response time by 30% for the operations team.
Education
Master of Science, Computer Science
University of Southern California
Relevant Coursework: CSCI-570: Analysis of Algorithms, CSCI-566: Deep Learning and it's Applications, DSCI-552: Machine Learning, CSCI-585: Database Systems
Bachelor of Engineering, Computer Engineering (Honours in AI/ML)
Mumbai University
CGPA: 9.21/10
Skills
Programming
Web Technologies
Machine Learning & AI
DevOps & Cloud
Databases
Publications
Intellihealth: Intelligent Health Record System
A blockchain-based decentralized Electronic Health Record (EHR) system with role-based access control. The system integrates a patient-assisting chatbot and machine learning models for preliminary disease detection from medical imaging, achieving over 95% accuracy.
View PublicationLeadership
Marketing Analytics Head
Team CodeLabs CRCE, Mumbai, India
- Managed a team of 15 junior members in developing digital outreach initiatives, resulting in a 300-person increase in our social media followers within a single month, which directly contributed to securing 200 participant registrations for the Unscript 2k23 hackathon hosted by the team.