Headline

Aspiring AI Engineer | LangChain · Hugging Face Transformers · RAG & Vector Search | CSE (AI/ML) @ Adani University | AI Intern at IBL Finance

About

I'm a Computer Science undergraduate at Adani University passionate about building production-grade AI systems—not just experimenting with LLMs. Here's what I've built: Enterprise Hybrid RAG Engine — Designed a production-ready RAG system combining BM25 + ChromaDB + Reciprocal Rank Fusion + Cross-Encoder Re-ranking, achieving 94.1% context recall, 94.9% faithfulness, and 90.2% citation trace integrity with a sentence-level citation verifier. BeforeBug — Built a 4-agent LangGraph system powered by NVIDIA NIM, capable of predicting bugs before execution using semantic memory (FAISS), SQLite persistence, and confidence-scored fix generation. Mini Vector Database — Engineered a vector database from scratch using C++, Rust, and pybind11, supporting 100K+ vectors, IVF & HNSW indexing, Python bindings, crash recovery through a Rust Write-Ahead Log, and sub-2 ms P95 search latency. During my AI Engineer internship at IBL Finance Ltd., I built a sub-second AI voice agent, developed a PostgreSQL-based RAG chatbot, and trained a credit risk model on 1M+ financial records with 200+ engineered features. Previously at Boostify, I helped build a multi-tenant AI SaaS from scratch by integrating multiple LLM providers, developing the backend with Next.js + Supabase, and automating business workflows using n8n. My stack: Python • LangGraph • FastAPI • PostgreSQL • RAG • Vector Databases • NVIDIA NIM • OpenAI • Gemini • Groq • C++ • Rust • Docker • Redis • AWS I'm actively looking for AI Engineer, ML Engineer, and Generative AI Engineer opportunities where I can build scalable AI products that solve real-world problems. 📍 Ahmedabad, Gujarat | 📧 jalppansuriya48@gmail.com | 🔗 github.com/JalpPansuriya

Location

Greater Surat Area

AI stack

claude code

kiro

langchain

langgraph

n8n

llama.cpp

Work experience

Artificial Intelligence Engineer at Civra Technologies, Jul 2026 - Sep 2026 · 3 mos, Remote

AI/ML Intern at IBL Finance Limited, May 2026 - Jul 2026 · 3 mos, On-site, Building AI-powered solutions for the financial domain — including a RAG pipeline for intelligent document querying, an AI chatbot with real-time streaming and conversation memory, and semantic search over financial reports using vector embeddings and LLMs. Designed automated n8n workflows and served AI models via FastAPI endpoints. — Reduced manual document processing time by ~38% through AI workflow automation — Built a production-grade RAG chatbot handling real financial queries with context-aware responses

Web Developer at Boostify, Mar 2026 - May 2026 · 3 mos, Ahmedabad, Gujarat, India, Building a multi-tenant AI SaaS from zero — integrated 3+ LLM APIs, served ML model outputs via REST endpoints, and automated 4+ workflows via n8n. → Cut manual ops by ~55% · Workflow steps by ~60% → Hands-on with XGBoost, SHAP, FastAPI, and LLM pipelines in parallel ML projects Stack: Python · XGBoost · SHAP · FastAPI · Next.js · Supabase · LLM APIs · n8n

Education

Bachelor of Technology - BTech, Computer Science, Adani University

Public links

github: https://github.com/JalpPansuriya