Experience

18+ years across research, teaching, and enterprise AI.

From neuro-fuzzy controllers and medical imaging to production LLM systems for the enterprise — the path.

Mar 2024 — Present

Senior GenAI Engineer

Global IT Services & Consulting Firm

  • Build solutions that identify intent, entities, and other features from user comments, chatbot transcripts, and unstructured text for Networks and ITOps teams.
  • Design and implement solutions combining traditional NLP with LLMs for search, Document AI, and summarization — including RAG pipelines serving 10,000+ employees.
  • Architected an LLM-based FinOps solution for a Fortune 500 client, automating cost analysis across 50+ AWS accounts and delivering a 30% reduction in cloud spend ($2M+ annual savings).
  • Fine-tune pre-trained NLP/LLM models (Llama 3, Gemma) using PEFT; run evaluation experiments and statistical analysis to refine models — 90%+ accuracy, 40% lower inference cost.
  • Manage and mentor an 8-engineer team on GenAI projects; lead code reviews, sprint planning, and code-quality standards using Python, FastAPI, Docker, and Git.
  • Handle client interactions including requirement gathering, technical presentations, and weekly stakeholder updates.
  • Embed Responsible AI and governance practices across model evaluation, deployment, and monitoring workflows.
Jun 2021 — Feb 2024

Freelance AI/Data Consultant

Independent

  • Delivered 15+ Power BI dashboards for SME clients, enabling data-driven decision making.
  • Developed custom GenAI solutions — chatbots, content generators, and workflow automation tools — for startups across multiple sectors.
  • Fine-tuned open-source LLMs (Llama 2, Mistral) for domain-specific client use cases.
  • Built production ML models for customer churn (87% accuracy), demand forecasting, and fraud detection.
  • Reduced manual reporting effort by 60% through automated Power BI pipelines processing 100K+ daily transactions.
Aug 2009 — May 2021

AI Research Lead & Professor

Amity University · Noida

  • Founded and directed an AI/ML research lab while teaching graduate-level Deep Learning and Computer Vision courses.
  • Published 24+ peer-reviewed papers in Wiley, Springer, and IEEE journals, accumulating 150+ citations.
  • Secured research funding through government and industry grants, leading to 3 commercialized healthcare AI solutions.
  • Supervised 15+ graduate theses with a 100% completion rate; students placed at Microsoft, Google, and Amazon.
  • Partnered with 3 healthcare organizations to deploy diagnostic-imaging AI models, improving diagnostic accuracy by 25%.
Jan 2006 — Aug 2009

Research Scholar & Lecturer

BITS Pilani

  • Conducted foundational research in intelligent systems and neuro-fuzzy controllers.
  • Led development of a smart-irrigation decision model using ML-based control systems.
  • Published research on adaptive control systems, subsequently cited 100+ times.

Ph.D. — Intelligent Systems / Medical AI Imaging, BITS Pilani

M.Tech / B.Tech — Computer Science & Engineering