Software Engineer · USC MSCS · 2026
Vaidik
Vadhavana
Engineer by training. Product thinker by necessity.
Currently Building
About
I'm a CS graduate student at USC (2026) building at the intersection of backend systems, developer tooling, and applied AI. I enjoy the 0→1 phase of product development - turning complex requirements into software that lasts.
Currently at Exelint International, I've automated accounting cycles, integrated Claude AI into enterprise ERP workflows, and shipped a production RAG chatbot. My work ranges from shipping VS Code extensions with 350+ installs to conducting ML research at USC Viterbi, where my team achieved 98.54% diagnostic accuracy for glaucoma detection.
Focus Areas
- Backend Systems
- Developer Tooling
- AI / LLM Integration
- Applied ML Research
Selected Work · 2023–2026
DEVELOPER TOOLING
OmniChat AI
350+ installs · 6 GitHub stars
A privacy-first VS Code extension enabling offline AI assistance by integrating any local LLM through Ollama — including OpenAI's open-weight models. Built for engineers who want AI without the cloud.
BROWSER EXTENSION
ZenMark
20+ active users · <100KB build
Chrome extension with a custom Trie-based fuzzy search engine delivering <15ms latency across 10,000+ bookmarks. Privacy-first, fully local, no external APIs.
PRODUCTIVITY · WINDOWS
EzTranslate
10+ languages · fully offline
Native Windows utility that auto-detects clipboard content and returns instant translations via a fine-tuned Gemma3 model. No internet, no API calls.
FULL-STACK PLATFORM
APSIT Community
200+ active student users · AWS deployment
Full-stack social platform enabling inter-department communication at university. JWT-secured, deployed on AWS with Amplify + Elastic Beanstalk. Led a team of 4 engineers.
ML · MOBILE
NutriLytik
170+ patients surveyed · 10 beta testers
Mobile app enabling diabetic patients to scan food labels for real-time nutritional insights via OCR. Personalized meal plans generated from ML models trained on 170+ patient surveys.
OSS Contributor · Omi AI Ecosystem (2 apps shipped) · Invited to SF Office · May 2025
Timeline
Education
M.S. Computer Science
University of Southern California
B.E. Computer Engineering
A. P. Shah Institute of TechnologyGPA 9.28 / 10
Experience
Software Engineer Intern (Co-op)
CURRENTExelint International
Pioneered NetSuite × Claude AI integration via Model Context Protocol (MCP) with OAuth 2.0 and custom SuiteApps. Shipped a production RAG chatbot for e-commerce support query resolution. Eliminated a 15–18 day manual accounting cycle through native NetSuite automation — projected to close books in under 4 days.
Research Assistant
USC Viterbi School of Engineering
Built a hybrid deep learning model for early-stage glaucoma detection in retinal fundus images — 98.54% accuracy. Extended to Diabetic Retinopathy detection by merging 3 datasets to resolve class imbalance, improving accuracy by ~5%.
Full-Stack Developer (Project Lead)
A. P. Shah Institute of Technology
Led a team of 4 to build and ship APSIT Community — a full-stack social platform on AWS growing to 200+ active student users.
Technical Depth
Languages
- Python
- TypeScript / JavaScript
- Go
- C / C++
- C#
- SQL
Infrastructure
- AWS (EC2, S3, Lambda)
- Docker · Kubernetes
- Terraform
- NetSuite REST API
- CI/CD (GitHub Actions)
- MongoDB · PostgreSQL · Redis
AI / ML
- PyTorch · TensorFlow
- LangChain · RAG Pipelines
- Ollama (local LLMs)
- Model Context Protocol (MCP)
- OpenCV
- Hugging Face
Languages
Infrastructure
AI / ML
Contact
Let's build something.
Always open to interesting conversations,
collaborations, and ideas.