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Rajat SinghRS
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Rajat Singh

@rajatsingh6

Entry-level AI and backend developer building RAG and agentic systems with FastAPI, PostgreSQL, and LangChain.

India
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What I'm looking for

I’m looking for an entry-level role where I can build production-ready AI features—RAG/LLMs and FastAPI services—while learning from mentors and shipping measurable improvements end to end.

I’m an entry-level AI and backend developer who turns real-world needs into measurable systems. In QuantShield, I built an AI-powered portfolio risk monitoring platform that achieved 94% classification accuracy on unseen ETF data, delivered low-latency FastAPI responses (~150ms), and reduced analysis time by 60% by converting quantitative outputs into human-readable insights.

I also design end-to-end pipelines that feel production-ready: LifeMap focuses on structured goal execution (Goals → Projects → Missions) with JWT-secured FastAPI REST APIs and analytics dashboards, while my AI Product Recommender uses conversation-aware RAG with history-aware retrieval, embeddings stored in AstraDB, and Kubernetes orchestration for scalability and observability. I’m energized by Transformers, Generative/Agentic AI, LLM fine-tuning, and building reliable developer-friendly services.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Symbiosis Institute of Technology, Pune logoSP

Symbiosis Institute of Technology, Pune

Bachelor of Technology in Computer Science and Engineering, Computer Science and Engineering

2023 - 2027

Activities and societies: Projects: QuantShield (AI portfolio risk monitoring; 94% accuracy), LifeMap (goal execution & behavioral analytics; JWT REST APIs), AI Product Recommender (conversation-aware RAG chatbot; history-aware retrieval).

Pursuing a Bachelor of Technology in Computer Science and Engineering at Symbiosis Institute of Technology, Pune (2023–2027).

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