About Me
Software Engineer passionate about building scalable products and solving complex problems
Who I Am
I'm a Software Engineer and USC Master's graduate focused on building scalable full-stack systems and applied AI solutions.
I've shipped production features at Sigma Computing used by 60+ enterprise customers, where I worked on cloud analytics UI, formula-based styling, and TypeScript performance optimizations to reduce user friction. Previously at World Salon, I re-architected payment microservices, improving performance by 20%, and integrated Stripe to support monetized event workflows.
Alongside industry work, I was a Research Assistant at USC Marshall, where I built large-scale data pipelines processing 500GB+ of energy transition data and developed semantic search systems using vector databases and RAG architectures.
My strength lies in turning complex systems into reliable, usable products—whether that's optimizing frontend performance, designing backend APIs, or building AI-powered data workflows.
I'm open to full-time roles in Full Stack and AI Engineering. Happy to connect with engineers, founders, and recruiters.
Impact
GitHub Activity
Programming Languages
Frontend
Backend
Databases
Cloud & DevOps
AI / ML
Experience & Education
My professional journey and academic background
Work Experience
Sigma Computing, New York, NY
Software Engineer Intern
- •Built Conditional Formatting for Containers from scratch, enabling dynamic styling based on formula conditions - now used by 60+ enterprise organizations.
- •Implemented Custom Page Headers feature end-to-end, allowing users to add branded headers to workbooks for professional reporting.
- •Shipped 4 production features by owning full development lifecycle from design collaboration through deployment and post-release monitoring.
- •Expanded test coverage and caught regressions early, improving production stability and reducing post-release issues.
World Salon, Los Angeles, CA
Software Engineer Intern
- •Solved slow speaker sourcing by automating data extraction and outreach workflows, processing 39,000+ profiles e2e.
- •Improved team efficiency through AI-driven speaker profiling and personalized outreach, enabling scalable sourcing.
- •Addressed performance and scalability bottlenecks by modularizing core, payment services improving latency by 20%.
- •Spearheaded Event creation workflow using MERN stack with JWT authentication, role-based access control.
USC Marshall School of Business, Los Angeles, CA
Research Assistant
- •Implemented automated web scraper using Selenium to collect 10 years of SP1500 sustainability reports (15K+ PDFs).
- •Engineered RAG system with 10K+ vector embeddings and semantic search across 500GB+ energy transition data.
- •Executed multi-threaded PDF pipeline with OCR attaining 30% faster extraction vs. prior single-threaded workflow.
- •Created PostgreSQL database indexing 2M+ data points with React UI for researchers accessing processed reports.
- •Automated Orbis database scraper for 1.8M+ companies using dynamic threading, reducing manual workload by 90%.
Smart Consultant, Mumbai, India
Software Development Engineer Intern
- •Designed inventory management system for small retail businesses with Django REST API and PostgreSQL database.
- •Delivered dashboard analytics showing sales trends, profit margins, and automated ABC analysis for 5000+ SKUs.
- •Deployed on AWS EC2 achieving 200ms response times with S3/CloudFront CDN, supporting 15+ concurrent clients.
Education
University of Southern California
Masters of Science in Computer Science | GPA: 3.81/4.0
Developed advanced technical expertise in algorithms, database systems, and web technologies while enhancing problem-solving skills and innovation.
University of Mumbai, Mumbai, India
Bachelor of Technology in Information Technology | GPA: 3.8/4.0
Gained a solid foundation in operating systems, machine learning, software engineering, and computer networks.
Projects
A selection of projects I've built
Netflix Clone
Full-stack Netflix clone with user authentication, movie browsing, My List, and trailer playback using TMDB API.
Cataract Detection with Explainable AI (XAI)
Led team of 3 to develop CNN-based cataract detection system achieving 97% accuracy with explainable AI integration. Integrated GradCAM for visualizing model decisions.
RAG-based Q&A App
RAG Q&A app with vector search and real-time retrieval, enabling sub-second search across private docs. Optimized pipeline reducing API calls by 30% and cutting 20% latency.
Fake News Detection
Developed and benchmarked multiple deep learning architectures achieving 93% accuracy. Achieved 94% precision, recall, and F1-score on WELFake and Kaggle datasets with 115K+ articles.
Inventory Management System
Inventory management system with Django REST API and PostgreSQL. Dashboard analytics with sales trends, profit margins, and ABC analysis for 5000+ SKUs.
Publications
Peer-reviewed research papers I've authored
Exploring the Potentials of Explainable AI for Early Cataract Detection to Foster Accessible Healthcare
XAI meets Ophthalmology: An Explainable Approach to Cataract Detection using VGG-19 and Grad-CAM
Federated Learning to Preserve the Privacy of User Data
Literature Survey on virtual laboratory for secondary students
Get in Touch
I'm always open to new opportunities and interesting conversations