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Parth KherPK
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Parth Kher

@parthkher

I build production RAG, Graph RAG, and enterprise AI platforms.

India
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What I'm looking for

I'm looking to build reliable, high-impact AI products, especially grounded Generative AI, RAG, Graph RAG, document intelligence, voice AI, and recommendation systems with strong traceability, access control, and data-residency support.

At DRC Systems, I build production Generative AI systems for enterprise clients including HCL Foundation, NPCI, RiSE, ISA, Tomia, and Ryze Digital. My work spans architecture through deployment for chatbots, video avatars, voice agents, and retrieval-based assistants.

I architect RAG and Graph RAG systems using Neo4j knowledge graphs, vector embeddings, hybrid search, reranking, metadata filtering, and role-based access control. For HCL Foundation’s Samuday, I built a multilingual medical assistant that provides guideline-grounded answers to frontline health workers over WhatsApp.

I’ve delivered document intelligence, Text-to-SQL, course generation, recommendation, tender management, and on-premises voice AI products. I also build FastAPI services containerized with Docker to meet enterprise data-residency requirements.

Previously at Infibeam Avenues, I developed predictive analytics and NLP models and created Power BI dashboards for stakeholders. I’m passionate about building reliable, high-impact AI products with grounded, traceable responses and hallucination mitigation.

Experience

Work history, roles, and key accomplishments

DS
Current

Associate – AI/ML Developer

DRC Systems

Jul 2024 - Present (2 years 2 months)

Architecting and developing a comprehensive AI SaaS platform unifying multiple AI capabilities into a single dashboard. Delivering production Generative AI systems end to end for enterprise clients, including RAG and Graph RAG retrieval stacks, document intelligence pipelines, and conversational and voice AI solutions.

Education

Degrees, certifications, and relevant coursework

Pandit Deendayal Energy University logoPU

Pandit Deendayal Energy University

Master of Technology, Data Science

2022 - 2024

Grade: 8.56/10

Pursued a Master of Technology in Data Science, achieving a CGPA of 8.56/10.

GT

Gyanmanjari Institute of Technology

Bachelor of Engineering, Computer Engineering

2016 - 2020

Grade: 8.23/10

Completed a Bachelor of Engineering in Computer Engineering with a CGPA of 8.23/10.

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