Moksh Jhaveri

I’m a software engineer with strong foundations in Python, backend systems, REST APIs, object-oriented programming, and secure coding. I build cloud-ready applications that are dependable under real-world constraints.

In my recent Backend Engineer Intern role, I engineered RAG-based backend pipelines for document ingestion, semantic chunking, embedding generation, vector search, metadata filtering, reranking, and context-grounded LLM responses. I also built scalable API workflows for retrieval, context assembly, and response generation, actively debugging failures to improve reliability across document types.

I’ve also developed distributed and ML-driven backend services through internships and projects—integrating ML inference with Node.js backends, and creating a privacy-preserving federated learning FastAPI backend on GCP. My work includes ShieldSecure (secure cybersecurity defense APIs with JWT/auth, rate limiting, audit logging, and risk scoring) and LitAgent (agentic literature review automation with knowledge graphs and source-grounded outputs).

Beyond engineering, I bring a strong competitive and delivery mindset: I’m a 9x Hackathon Winner and I published FinBERT-India-v1 with 15,000+ downloads. I care deeply about networking, security, collaboration tools, and reliable systems engineering that teams can trust in production.