Ritesh Bhagwat — CEO
I’ve spent over two decades at the intersection of data and technology, evolving alongside the industry from traditional Data Warehousing and BI to the current frontiers of Agentic AI and Machine Learning. My focus is on building the practical, scalable architectures that turn raw data into high-impact business outcomes. I’m a big believer that “being useful is more important than being technical.” It’s easy to get lost in the complexity of a stack, but I’ve found that a solution only truly succeeds when it’s accessible and solves a real-world problem for the people using it. With a foundation in computational math and statistical modeling, I enjoy bridging the gap between high-level strategy and deep technical execution. Whether it's optimizing enterprise pipelines, fine-tuning LLMs, or architecting autonomous agent workflows, I focus on turning complex technical solutions into practical tools for business users. At heart, I’m still a curious learner. Philosophically, I’m a Frequentist; spiritually, a Bayesian. I try to balance methodical rigor with enough adaptability to stay ahead of where data and AI are heading next. What I’m focused on lately: ✅ AI & Data Architecture: Designing systems that scale without breaking. ✅ Agentic AI & Orchestration: Building autonomous agents and multi-agent workflows that navigate complex tasks. ✅ Generative AI: LLM applications, RAG, fine-tuning, and prompt engineering. ✅ The Engine Room: MLOps, distributed training, and infrastructure automation. ✅ Knowledge Systems: Building AI that actually understands enterprise data.
Stackforce AI infers this person is a seasoned AI architect specializing in scalable data solutions across healthcare and finance sectors.
Location: Pune, Maharashtra, India
Experience: 20 yrs 7 mos
Skills
- Ai Architecture
- Machine Learning
- Data Science
- Business Intelligence
- Data Warehousing
Career Highlights
- Over two decades of experience in data and technology.
- Expert in AI architecture and machine learning solutions.
- Strong focus on practical, scalable data architectures.
Work Experience
The Tensor Forest
AI Solutions Architect | Generative AI | AI Startup | AI Consulting (8 yrs 7 mos)
Credit Suisse
AVP | Analytics & Data Science (1 yr 10 mos)
KPIT
Advanced Analytics & BI Lead (2 yrs 5 mos)
Cisco Systems
Analytics & BI Architect (2 yrs 10 mos)
Zensar Technologies
Analytics & BI Consultant (2 yrs 10 mos)
IBM
Application Consultant | Data Warehousing & Business Intelligence (1 yr 6 mos)
Accenture
Software Engineer | Data Warehousing and Business Intelligence (1 yr 5 mos)
Consulting 101 Systems Pvt. Ltd.
Software Engineer | Siebel Analytics (2 yrs)
Education
Masters at Shri G S Institute of Technology & Science
Bachelors at Govt. Holkar Science College A.B. Road, Indore