AI Engineering: Under the Hood
AI Engineering: Under the Hood
How are modern AI systems actually built, evaluated, and scaled?
This meetup is designed for AI Engineers, Software Engineers, ML Engineers, Data Engineers, MLOps/LLMOps Engineers, and developers working with or exploring AI Engineering.
The session will go beyond AI demos and explore the engineering layers behind modern AI applications, from models, context, tools, and agents to data, infrastructure, evaluation, reliability, and scale.
Agenda
1. Welcome & Introduction to Indian Data Club: 10 min
A brief introduction to Indian Data Club, the Bengaluru community, and the focus of the meetup.
2. Icebreaker: 10 min
A short networking activity to connect with fellow AI, data, software, and engineering professionals.
3. Speaker Session: 40 min
Abhik Sarkar: Director of Machine Learning @ Cloudastructure, Inc.
Where Should Intelligence Live? Designing the Line Between Model and Harness
Why move from a single model to smarter harnesses?
Big models as orchestrators, smaller models as workers.
Subagents, tool calls, and managing context between them.
OhMyPi as a case study of modern harness engineering.
The core question: Do you need a bigger model, or a better harness?
4. Introduction of the Ecosystem Partner Paytm
5. Tea Break
Refreshments and informal networking.
6. Panel Discussion: 40 min
Panelist: Nishant: Senior Computer Scientist @ Adobe
Abhik Sarkar: Director of Machine Learning @ Cloudastructure, Inc.
Engineering the AI Stack: Data, Infrastructure & Evaluation
A technical discussion on the engineering challenges behind taking AI systems from prototypes to reliable production applications.
7. AI Engineering Quiz
Think you understand AI engineering? Put your knowledge to the test.
Join a fun quiz covering AI, LLMs, RAG, AI Agents, and real-world AI systems.
8. Closing Remarks & Open Networking: 30–40 min
Closing remarks followed by open networking with speakers, panelists, founders, engineers, and other members of the Bengaluru technology community.
What You'll Take Away
By the end of the meetup, you'll have a clearer understanding of:
How modern AI applications are engineered
What sits beyond the LLM
How models, context, tools, agents, and data work together
The infrastructure required to run AI systems
How AI systems are evaluated and monitored
The trade-offs between cost, latency, reliability, and performance
What changes when moving from an AI prototype to production
If you’d like to speak at our events, please fill out this form:
Link - Become a Speaker - Inspire India's Data Community – Fill out form
Note: Submissions will be reviewed for current or future sessions.