"I didn't choose AI. AI chose the problems I couldn't stop thinking about."
I am an engineer who went from writing ETL pipelines to architecting systems that think. Today, I work at NTT DATA's GenAICOE, where I design and deliver production-grade AI products for enterprise-scale environments. Prior to this, I spent 4.5 years at Capgemini's GenAICOE building real-world systems across Banking, Pharma, and Legal domains.
I don't just build chatbots or AI copilots. I build complete products. From architecture and data pipelines to cloud infra, APIs, AI orchestration, deployment, and optimization — I enjoy owning the entire lifecycle of intelligent systems.
Education: M.Sc. in Data Science (AI & NLP) — Liverpool John Moores University (LJMU), London
Recognition: Recipient of the "Mission Impossible Award" & 2-Time "Millennial of the Quarter"
Community: Secretary at AI Anytime (Non-profit AI research & education community)
Commute Routine: I read research papers during commutes and constantly explore new ways of combining AI, software engineering, and cloud technologies.
🔸 Enterprise GenAI Platforms & AI products on AWS and Azure-native services.
🔸 Agentic AI & Multi-Agent Systems that automate complex business workflows.
🔸 RAG, GraphRAG, and Multimodal AI applications.
🔸 Intelligent Document Processing (IDP) and enterprise knowledge systems.
🔸 Translation and multilingual NLP platforms.
🔸 AI-Powered Code Generation and legacy modernization solutions.
🔸 Resume Intelligence and recommendation engines.
🔸 Knowledge Graphs and vector-powered retrieval systems.
| Category | Technologies & Tooling |
|---|---|
| AI & Bots |                  |
| IDEs & Editors |         |
| Languages |          |
| Frameworks |   |
| Frontend |         |
| Backend |    |
| Databases |               |
| DevOps |    |
| Build Tools |      |
| Hosting & SaaS |   |
| Operating Systems |    |
| Testing |    |
👉 Explore all my public repositories: github.com/RiteshGenAI
"For me, GenAI isn't about chasing the latest model release. It's about engineering systems that are scalable, reliable, secure, and capable of delivering measurable business value in production."
"Because at the end of the day, nobody remembers which model you used. They remember the product that worked 😉✌️"
- 💬 Ask me about: LLMs, RAG, Prompt Engineering, Agentic Workflows, and Cloud Architecture
- 📫 How to reach me: Connect on LinkedIn or drop me an email!
"Learning never stops until you die." — and I intend to keep that promise.
(Last updated: July 2026)