Experience & Capability
Tata Technologies
GenAI Intern
6 Months
My experience so far has been less about titles and more about exposure to different kinds of systems: enterprise AI, workflow design, internal tools, and real-world constraints.
- ▶Exposure: Gained exposure to enterprise AI workflows and how predictive systems need to fit into existing operational environments.
- ▶Workflows: Explored agentic and multilingual AI workflow concepts for internal automation use cases.
- ▶Learning: Learned that deployment reality and system fit matter more than model novelty.
What I Learned
The biggest lesson was that a useful system has to fit the environment it lives in. Model quality matters, but operational fit, clarity, and reliability matter just as much.
Selected Freelance Systems
Product / Engineering Support
Worked with founders on MVP-style systems and workflow tools, helping translate ambiguous business needs into structured product flows and working prototypes.
Ongoing Research / Exploration
Currently focused on exploring applied AI systems with an emphasis on real-world deployment, deterministic outputs, and explainability. Investigating multi-agent orchestration for automating operational and engineering tasks.
Technical Toolkit
Systems
- Systems Thinking
- Workflow Design
- Product Structuring
AI
- Applied AI Prototyping
- Anomaly Detection
- Agentic Workflow Concepts
Data
- Data Analysis
- Rapid Prototyping
- Python and SQL (working knowledge)