---
title: "Jalp Pansuriya - Artificial Intelligence Engineer in Greater Surat Area | Tal"
description: "Meet Jalp Pansuriya, Aspiring AI Engineer | LangChain · Hugging Face Transformers · RAG & Vector Search | CSE (AI/ML) @ Adani University | AI Intern at IBL Finance based in Greater Surat Area. AI stack includes claude code, kiro, and langchain. Explore public work links including github."
image: "https://tal.club/meet/jalp-pansuriya/share-image"
---

# Jalp Pansuriya on Tal

## Headline

Aspiring AI Engineer \| LangChain · Hugging Face Transformers · RAG &amp; 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 &amp; 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

[View the original profile](https://tal.club/meet/jalp-pansuriya)

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