Headline

AI Engineer | RAG Systems · LLM Agents · Vector Search | Python · LangChain · FastAPI | Building Production AI Pipelines

About

I build AI systems that work in production — not just Jupyter notebooks. Currently at Spiderweb Technologies as an AI Engineer, I architect multi-agent LLM pipelines: one agent handles context retrieval and refinement, another drives user-facing response generation with structured tool-calling. The system layers vector search (RAG) over a MySQL backend to cut hallucinations and improve factual grounding — built with logging, retries, and reproducibility baked in from day one. What I work on: → RAG pipelines: ingestion, chunking, embedding, retrieval (ChromaDB + SentenceTransformers) → Multi-agent architectures using LangChain with controlled tool orchestration → Backend systems: FastAPI services, MySQL schema design, async data pipelines → LLM prompt engineering and safety guardrails for consistent, production-safe outputs Projects I'm proud of: → US Federal Registry Search Engine — semantic search over 100K+ federal records using vector embeddings; sub-second retrieval via ChromaDB with a live Streamlit demo → AI Agent Blog Generator — end-to-end agentic content pipeline using LangChain + GPT with structured prompt templates and output guardrails My edge: I think in systems, not features. I care about what happens when things fail — logging, retries, schema audits — not just whether the happy path works. Open to: AI Engineer · Applied AI Engineer · Backend Engineer (AI-first) roles Remote or Surat, India | Available immediately

Location

Greater Surat Area

Work experience

Intern at ERPBOSS, Jul 2025 - Sep 2025 · 3 mos, Remote, Built a barcode generator application integrated directly into the company ERP system, eliminating a manual labeling step and accelerating inventory workflows for warehouse operations. Designed and deployed a customer support automation bot (Respond.io) that classified and routed incoming queries, reducing manual triage effort and improving first-response SLA for the support team. Engineered automated messaging campaigns targeting customer segments, replacing ad-hoc manual sends and improving campaign delivery consistency. Produced Power BI dashboards surfacing operational and marketing KPIs, used by management for weekly reporting and decisions.

Student Intern at Milestone PLM Solutions, Inc., Jun 2025 - Aug 2025 · 3 mos, Hybrid, Wrote Python automation scripts that reduced repetitive data preparation steps for the analytics team; delivered 3+ end-to-end automation tasks across an 8-week engagement. Performed data cleaning and transformation using pandas on real-world datasets, improving data quality for downstream analysis pipelines. Operated in a Linux/Windows environment, writing shell-compatible scripts and working with file systems and directory structures as part of production-adjacent tooling.

Education

Bachelor's degree, Artificial Intelligence, Dr. Babasaheb Ambedkar Technological University

Information Technology, Ryan International School, Noida