Sumanth Kumar
AI/ML Engineer & Full-Stack Developer | Knowledge Graph RAG Pipelines & Scalable Web Systems | Passionate about Autonomous Agents & Semantic Search
- Role
- Ai Implementation Engineer at LeapXpert
- Location
- Poughkeepsie, NY, US
- LinkedIn followers
- 500 followers
About Sumanth Kumar
I’m a versatile engineer with nearly 4+ years of experience at the intersection of AI/ML and full-stack development. I’m currently pursuing my Master’s in Computer Science at Marist University while driving innovation as an AI/ML Researcher at Marist Poll, where I design and deploy Knowledge Graph-based RAG systems that transform how organizations traverse and query complex data.At Marist Poll, I built a Neo4j powered intelligence platform that combines graph traversal with FAISS vector search to boost answer accuracy by 40% for multi-hop polling queries. I also engineered autonomous ontology-construction pipelines that auto-generate Cypher queries via LLMs, cutting manual modeling effort by 60%, and deployed production-scale GraphRAG services for real-time insights. On the full-stack side, I leverage modern frameworks (React, Angular, Node.js/Express, and Spring Boot) to deliver responsive, scalable web applications, implement robust backend services, and optimize database schemas and indexing to reduce query times by 50%.What excites me most is creating intelligent systems that users can actually interact with. Whether I’m architecting autonomous agents with LangChain or delivering data-rich dashboards powered by graph analytics, I thrive on solving algorithmic challenges and building scalable solutions that deliver both technical innovation and exceptional user experiences.
Experience
Ai Implementation Engineer
Mar 2026 — Present · US
Building and deploying AI agents for real-world business workflows • Identifying high-impact processes where AI can improve speed and scale • Integrating systems like HubSpot, Planhat, NetSuite, and Ramp • Developing agent workflows using OpenAI SDK, LangChain, and LangGraph • Automating use cases like lead enrichment, onboarding, and customer lifecycle • Handling structured and unstructured data across systems • Designing human-in-the-loop interactions for reliability • Running evaluations, monitoring, and continuous improvements • Tracking KPIs and optimizing agents based on business impact • Working with cross-functional teams to deliver production AI solutions
Education
Keshav memorial institute of technology
Bachelor of Technology - BTech, Computer Science
Marist University
Master's degree, Computer Science
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