I am a Master’s student in Computer Science at Northeastern University (Boston, MA) with 2+ years of professional experience in Backend Engineering and Cloud Infrastructure.
I specialize in building scalable backend systems, optimizing cloud deployments, and automating developer workflows. Previously, I engineered automated compliance tools at Qualcomm and optimized high-traffic microservices at Simform.
- CourtAccess AI: An MLOps platform solving language access gaps in the MA Trial Court. Features real-time speech translation (Whisper/NLLB-200) and automated legal document processing with PII protection.
- Field-Vision: An AI-powered industrial safety assistant using Gemini Live API for real-time video analysis, PPE detection, and hands-free voice interaction for field technicians.
- Audio Streaming POC: A low-latency speech-to-speech pipeline featuring Voice Activity Detection (VAD), Faster-Whisper ASR, and Piper TTS built with FastAPI and React.
- Predictive Modeling Engine: A real-time NFL win-probability predictor analyzing 350K+ plays using XGBoost & Random Forest, achieving a <0.10 Brier score.
- Languages: Python, Golang (Go), Java, JavaScript/TypeScript, SQL, NoSQL, Bash
- Backend & Cloud: FastAPI, Django, Node.js, AWS (S3, EC2, Lambda, RDS), Docker, Jenkins, CI/CD
- AI & Data: PyTorch, Scikit-learn, RAG, LLMs, Pandas, NumPy, MLOps (DVC, MLflow)
- Databases: PostgreSQL, MongoDB, Redis, DynamoDB
- LinkedIn: linkedin.com/in/sunnyyadavdev
- Email: yadav.sunny@northeastern.edu