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Backend Developer with 1+ years in FastAPI, LangChain & PostgreSQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Backend Developer with strong experience in designing and deploying scalable FastAPI systems, integrating AI-based workflow automation using LangChain and LangGraph, and managing PostgreSQL-backed APIs. Adept at building reliable backend infrastructures, streamlining data processing, and delivering production-ready systems.
Sardar Vallabhbhai National Institute of Technology, Surat
Integrated Master of Science · Physics
August 1, 2020 – June 30, 2025
Terabits Technolab
Backend Developer
December 1, 2025 – Present
Surat, Gujarat, India
Codewinglet Private Limited
Backend Developer Intern
April 1, 2025 – October 1, 2025
Surat, Gujarat, India
Agentic RAG System
June 29, 2026 – Present
• Built an Agentic RAG system using LangGraph + ReAct agent, combining a FAISS vector index (OpenAI embeddings) with Wikipedia/tools to deliver context-grounded answers from web and local PDFs. • Implemented an end-to-end ingestion pipeline (web pages, PDF dir, txt), chunking via RecursiveCharacterTextSplitter, and retrieval-augmented generation with GPT-40 and a Streamlit UI with source citations for transparent, fast queries.
Cultural Fit Analysis
The candidate's projects show a strong inclination towards AI/ML applications in backend development, which aligns with companies focused on cutting-edge technology. The academic background in Physics combined with practical software development experience suggests a diverse intellectual curiosity. The involvement in a large cultural fest indicates strong interpersonal and leadership potential, contributing positively to team dynamics. However, the experience is heavily concentrated on LangChain/LangGraph, which might limit adaptability to projects requiring different frameworks or broader backend expertise.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to deliver functional systems. The experience as Convener of SPARSH suggests leadership and organizational skills, which are beneficial for team collaboration and project management. The focus on AI-driven solutions aligns well with innovative operational environments.