About
Product thinking, systems depth, and delivery discipline in the same room.
I build AI systems end to end: problem framing, system design, production rollout, and the operational detail that makes those systems dependable.
I work where applied AI, product ambiguity, and production constraints all show up at once.
My recent work sits at the intersection of product, applied ML, and platform engineering. I have led enterprise GenAI builds, modernized recommendation systems, and shipped internal copilots for data workflows. The common thread is taking ambiguous, research-heavy work and turning it into software that teams can actually run and trust.
Hyderabad, India
Open to product-facing AI, ML platform, and senior applied engineering roles.
- From prototype to operating model
- Product sense over demo polish
- Clear tradeoffs, calmer systems
Capabilities
A working split across systems, delivery, and product.
- Agentic orchestration
- RAG and retrieval systems
- ML platform design
- Evaluation and guardrails
- FastAPI and service design
- Kubernetes and MLOps
- Observability and rollback paths
- Cross-functional technical leadership
- Opportunity framing
- Workflow design
- Adoption planning
- Reliability and cost tradeoffs
Timeline
Recent roles and the kind of work they required.
Senior Associate - Data Science, Publicis Sapient
Leading product and architecture work for enterprise AI systems, including multi-agent analytics, recommendation modernization, and production MLOps.
Business Analyst Intern, Saras Analytics
Worked on churn modeling, time-series forecasting, and foundational analytics delivery for business stakeholders.
Recognition