AI Architect · Generative AI · Computer Vision · Robotics
10+ years turning cutting-edge research — VLMs, RAG, diffusion models, and Vision-Language-Action systems — into production-grade products across manufacturing, energy, finance & document intelligence. Founder of EulerDB.
I'm an AI Architect and technical lead with a decade of multidisciplinary experience spanning generative AI, computer vision, robotics, and graph theory. My work runs the full arc — from unsolved academic problems to enterprise-scale systems deployed in manufacturing, energy, finance, and document intelligence.
I've architected multilingual GenAI platforms fusing LLMs and VLMs, built agentic RAG pipelines that cut latency and cloud cost by double digits, and now lead Vision-Language-Action (VLA) research translating perception and language into precise robotic control.
I care deeply about graph-theory problems and cognitive architectures, and I'm actively seeking senior research or engineering roles — and international collaborations — where creativity and rigor drive strategic impact.
A vertically integrated skill set — from model research and fine-tuning to edge deployment and cross-functional leadership.
Agentic systems, RAG at scale, LLM/VLM fine-tuning, diffusion models, and Model Context Protocol integrations.
Video analytics, OCR & document processing, object detection, 3D vision, face recognition, and image restoration.
Vision-Language-Action models, perception-driven control, and robotic manipulation pipelines for dynamic environments.
High-performance graph databases (EulerDB), GraphML, Neo4j, and novel heuristics for classic graph-theory problems.
OCI & SAP OCI, ETL orchestration with Prefect, edge inference on Jetson, and Dockerized production pipelines.
Leading cross-functional teams, stakeholder alignment, research direction, and mentoring across global engagements.
Selected roles delivering measurable impact across robotics, energy, and enterprise AI.
Earlier: DAAS Labs · Zvesta · National Institute of Medical Statistics (HIV analytics with WHO/UNAIDS) · IASRI–ICAR · GreySugar (Founder) · IISER Kolkata — full history in CV.
Peer-reviewed and preprint work spanning document intelligence and graph theory.
Selected repositories on github.com/Vprashant — from the S2-Chunking reference library to generative-AI frameworks.
Structural-semantic chunking of documents — the reference implementation of the S2 Chunking paper.
PythonA generative-AI framework — part of the EulerDB graph-AI ecosystem.
PythonEvaluation library assessing LLM response quality on faithfulness and relevancy.
PythonFancy bounding-box rendering utilities for object-detection visualization.
PythonReal-time face detection built on the GStreamer media pipeline.
PythonRetrieval-augmented generation system for global logistics knowledge.
PythonResearch partnerships, senior engineering roles, or ambitious AI & robotics problems — I'd love to hear from you.