Headline

AI Engineer | Knowledge Graphs · Multi-Agent AI Systems · GraphRAG · Neo4j · LangGraph · LLMs | IIT Kharagpur ‘24

About

I'm an IIT Kharagpur graduate with a background in Mathematics and Computing. I work mostly in Python, LangGraph, LangChain, Neo4j, FastAPI, Redis, Knowledge Graphs, Link Prediction, Agentic RAG, and Multi-Agent Architecture. I've spent the last 2 years building AI systems that don't just search for answers they reason over knowledge graphs to find them. At Equvinoxis, I built ForgeChain a GraphRAG platform where agents could detect their own failures, rewrite queries, and retry automatically. That alone cut failures by 85%. I also designed a caching system that reduced redundant LLM calls by 70%, and solved context bloat in multi-turn conversations using a 3-tier memory architecture. Before that, at Aiseberg, I took a chatbot from 6-second response times down to milliseconds by combining Neo4j graph traversal with Qdrant vector search. I also built a link prediction model that hit 88.8% accuracy on restoring missing connections in a knowledge graph. The common thread across everything I've built it had to work in production, not just in a notebook. Right now I'm actively looking for AI Engineer roles where I can keep building things that actually matter. If you're hiring or know someone who is, feel free to reach out. dileepmaloth333@gmail.com +91 9083537141

Location

Hyderabad

AI stack

antigravity

opencode

claudecode

Work experience

Artificial Intelligence Engineer at Equvinoxis, Jul 2025 - Apr 2026 · 10 mos, Bengaluru, Karnataka, India, Built production-grade agentic AI systems on top of knowledge graphs and LLMs. Engineered ForgeChain, a GraphRAG supplier intelligence platform using Neo4j + Qdrant hybrid retrieval Built self-correcting NL-to-Cypher agent in LangGraph, reducing failures by 85% Designed semantic Redis cache cutting redundant pipeline calls by 70% Implemented 3-tier memory architecture to solve LLM context bloat Added LangSmith observability and Pydantic validation for production reliability

Artificial Intelligence Engineer at Equvinoxis, Jul 2025 - Apr 2026 · 10 mos, India

Data Scientist at Aiseberg, Oct 2024 - Jul 2025 · 10 mos, Bengaluru, Karnataka, India, Built graph-powered AI products for product intelligence and knowledge management. Developed AIsepedia Chatbot using Neo4j + Qdrant dual-engine retrieval, cutting response time from 6s to milliseconds Built Mind Builder, an onboarding tool using BFS subgraph extraction and Graph Community Detection (modularity 0.89) Engineered Orphan Node Link Prediction using XGBoost achieving 88.8% accuracy and 90.2% recall Designed KG schemas from real sales flows with adaptive sharding and index-based retrieval strategies Implemented few-shot prompting to map natural language to Cypher queries at scale

Data Analyst at CNO Financial Group, Jul 2024 - Sep 2024 · 3 mos, United States

Data Scientist at York University, Dec 2023 - Jan 2024 · 2 mos

Software Engineer at Intech Additive Solutions, May 2023 - Feb 2024 · 10 mos, Bengaluru, Karnataka, India

Education

Master's degree, Mathematics and Computer Science, Indian Institute of Technology Kharagpur

12th, Science, sri chaitanya junior college