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Harshverdhan SoniHS
Open to opportunities

Harshverdhan Soni

@harshverdhansoni

I build generative AI and full-stack systems—delivering multimodal, multilingual RAG and agentic AI for government-scale impact.

India
Message

What I'm looking for

I’m looking to join teams that build deployable generative AI for public-sector impact—combining multilingual RAG/GraphRAG and agentic systems with strong engineering ownership and measurable real-world outcomes.

I’m an applied AI researcher and full-stack engineer with “12+ years” across AI/ML research, “government digital transformation,” and “Java full-stack development.” As a PhD Scholar in Generative AI at NIT Silchar and a Technical Assistant at C-DAC Silchar (MeitY, Government of India), I specialise in multimodal-multilingual Retrieval-Augmented Generation and agentic AI for Indian-language and public-sector systems.

My research includes “GCP-GraphRAG: A Multimodal Multilingual Graph-Based RAG with Graph Context Pruning” (accepted at GCON 2026, IEEE) and “GNN-driven relevance propagation” for token-efficient, provenance-aware generation in low-resource Indian languages. I also led real deployments—coordinating HMIS rollout across Arunachal Pradesh and Sikkim, scaling from “93 to 132+ healthcare facilities,” and building integration APIs for HMIS (including stock-position, patient-details, and EDL pipelines). Alongside AI, I delivered end-to-end Java full-stack modules (Spring Boot, ReactJS) across eHRMIS/DVDMS and other government platforms, while automating workflows using MCP Server, n8n, and Make to accelerate delivery.

Experience

Work history, roles, and key accomplishments

CS
Current

Technical Assistant

C-DAC Silchar

Oct 2022 - Present (3 years 9 months)

Led AI research and solution development for multimodal-multilingual RAG, GCP-GraphRAG, and agentic AI (SAHAYAK-AI). Coordinated HMIS rollout and built DVDMS–HMIS integration APIs while delivering Java full-stack modules using Spring Boot and ReactJS.

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Silchar logoNS

National Institute of Technology Silchar

Doctor of Philosophy (PhD), Artificial Intelligence / Machine Learning (Generative AI)

Grade: GPA 7.5

Activities and societies: Focus: Multimodal-Multilingual RAG, GCP-GraphRAG, GNN, Explainable AI.

PhD scholar in AI/ML (Generative AI) focusing on multimodal-multilingual RAG and GCP-GraphRAG with explainable AI. Research includes agentic AI for Indian-language and public-sector systems.

National Institute of Technology Calicut logoNC

National Institute of Technology Calicut

Master of Technology (M.Tech), Computer Science & Engineering

Grade: GPA 7.0

M.Tech in Computer Science & Engineering with research interests in AI/ML foundations. GPA noted as 7.0.

SR

Shri Sai Institute of Technology, Ratlam

Master of Computer Applications (MCA), Computer Applications

Grade: GPA 8.01

MCA (Master of Computer Applications) from Shri Sai Institute of Technology, Ratlam. GPA noted as 8.01.

RR

Royal Institute of Technology & Mgmt, Ratlam

Bachelor of Computer Applications (BCA), Computer Applications

Grade: 70.6%

BCA (Bachelor of Computer Applications) from Royal Institute of Technology & Management, Ratlam. Graduation score noted as 70.6%.

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