Dr. Partha Majumder

Co-Founder

Chennai, Tamil Nadu, India6 yrs experience
AI ML PractitionerAI Enabled

Key Highlights

  • PhD from IIT Bombay with Q1 journal publications
  • Built 10+ production-ready GenAI MVPs
  • Expert in scalable system design and orchestration
Stackforce AI infers this person is a SaaS-focused AI Product Engineer with expertise in Generative AI and large-scale systems.

Contact

LinkedIn

Skills

Core Skills

Generative AiMachine LearningAi ModelingGpu ComputingNlp SystemsData AnalyticsAi OptimizationData Modeling

Other Skills

Deep LearningBig DataDeep Reinforcement LearningGenerative Adversarial Networks (GANs)NLPComputer VisionArtificial Intelligence (AI)Reactive TransportNatural Language Processing (NLP)Groundwater ModelingGroundwater RemediationGroundwater Resources ManagementComputational ModelingParallel Computing Using CUDAPython (Programming Language)

About

👋 Hi, I’m Dr. Partha Majumder — GenAI Product Engineer & Applied Scientist. I build production-ready GenAI products end-to-end, from idea to deployed system. With a PhD from IIT Bombay and publications in Q1 journals, my background is in deep AI research, GPU computing, and large-scale systems. Today, I apply that rigor to building real-world LLM products that people actually use. I’ve shipped 10+ GenAI MVPs across search, voice AI, video systems, and agentic/RAG workflows. My focus is on what actually matters in production: ✅ reliability ✅ scalable system design ✅ orchestration & automation ✅ performance & cost-awareness ✅ shipping fast without technical debt 🔍 What I Share Here • Practical GenAI engineering (LLMs, agents, RAG) • Backend architecture & orchestration • Lessons from real deployments • Research → real-world translation 🎯 My Mission To make AI practical, reliable, and usable in real products — not just impressive demos. If you’re building AI products or exploring GenAI, happy to connect.

Experience

6 yrs
Total Experience
1 yr 6 mos
Average Tenure
--
Current Experience

Paravision lab

Founder & GenAI Systems Architect

Feb 2025 – Present · 1 yr 3 mos · India · On-site

  • Build 10+ production Gen-AI MVPs (AI shortvideo/video-ads generators, AI flowchart/interview platforms, Perplexitystyle AI search clone, kids’ story and medical assistants).
  • Architected end-to-end streaming LLM systems with rate limiting,
  • caching, and reliability controls; built event-driven background
  • workflows (FastAPI, WebSockets/SSE, Inngest, n8n).
  • Designed and operationalized agentic + RAG systems with LangChain,
  • LangGraph, and LlamaIndex (multi-step reasoning, tool calling).
  • Delivered end-to-end Gen-AI products from APIs to modern frontends,
  • including media and voice/agent integrations (Remotion, Vapi, HeyGen).
  • Owned developer advocacy: authored 30+ applied Gen-AI articles; grew
  • audience to 15k+ LinkedIn, 1k+ Medium, and 3k+ GitHub.
Deep LearningMachine LearningBig DataDeep Reinforcement LearningGenerative Adversarial Networks (GANs)NLP+3

Indian institute of technology, madras

PRINCIPAL PROJECT SCIENTIST

May 2023 – Dec 2024 · 1 yr 7 mos · India · On-site

  • Led and delivered GPU-accelerated subsurface flow + contaminant
  • transport modeling (mesh-free RPCM with RWPT/CTRWPT), handling
  • heterogeneous aquifers and mobile–immobile mass transfer; achieved
  • up to 110× speedup (3M CUDA particles) vs CPU.
Generative Adversarial Networks (GANs)Artificial Intelligence (AI)Reactive TransportAI ModelingGPU Computing

Crest-iit madras

Senior Scientist

Aug 2022 – Apr 2023 · 8 mos · Chennai, Tamil Nadu, India · On-site

  • Built recommendation and search systems for startup intelligence
  • (investor matching, similar-company discovery) using NLP and clustering
  • (BERT, SpaCy, K-means).
  • Developed scalable, high-performance Python pipelines for large-scale
  • analytics, automated data extraction, and recommendations.
Natural Language Processing (NLP)Big DataNLP SystemsData Analytics

Hohai university

Postdoctoral Research Scientist

Aug 2019 – Aug 2022 · 3 yrs · Greater Nanjing Area

  • Owned ML-driven optimization systems and CUDA-accelerated
  • simulations; led NLP-based analysis of large-scale social data.
  • Published and validated neural + evolutionary optimization frameworks.
Big DataGroundwater ModelingGroundwater RemediationGroundwater Resources ManagementArtificial Intelligence (AI)Computational Modeling+4

Utah state university

Postdoctoral Researcher

Feb 2018 – Aug 2019 · 1 yr 6 mos · United States · On-site

  • Owned and enhanced commercial groundwater management &
  • remediation software (Python, C++); built end-to-end flow/transport
  • models and optimization workflows using pySOT.
  • Designed and applied deep neural networks and surrogate-based
  • optimization for groundwater remediation and predictive modeling.

Polaris financial technology

Senior Software Engineer

Jul 2011 – Jun 2012 · 11 mos · Tamil Nadu, India

  • Built and enhanced enterprise net banking applications using Java/J2EE
  • and Oracle, improving core framework functionality and performance.

Education

Indian Institute of Technology, Bombay

Ph.D. Degree — Water Resources Engineering

Jan 2012 – Jan 2018

Indian Institute of Technology, Guwahati

Master's degree — Hydrology and Water Resources Engineering

Jul 2009 – Jul 2011

North Eastern Regional Institute of Science and Technology (NERIST)

Bachelor of Technology - BTech — Civil Engineering

Jan 2004 – Jan 2009

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