CTX / 01
Reasoning systems
LLM Context Engine
Managing memory, context, and clarifications for reliable conversations.
View systemAI Engineer
Akshay Pai
I design and build intelligent systems that understand context, reason with data, and create real-world impact.
Explore my work6+Years learning & building
12+AI systems built
3.2M+Records queried daily
100%Passion for impact
Selected systems
Intelligence, made useful.
Featured case study / 01
Asset Retrieval
Chatbot
An intelligent natural-language interface for tracking enterprise assets across time, location and events.
- Temporal reasoning
- Trace history and movement
- Context-aware follow-ups
- SQL + LLM orchestration
Where was asset A123 yesterday?Asset A123 was at Mumbai Warehouse on June 30, 2026 — 10:42 AM.
Dell Latitude 7490→ Mumbai Warehouse → Pune Office → Mumbai Warehouse
SQL / 02
Data intelligence
SQL Copilot
Natural language to SQL with validation, safety, and execution control.
View systemAGT / 03
Applied research
AI Agents Playground
Experimental agents exploring tools, APIs, and autonomous workflows.
View systemAbout / Credentials
Formal training.
Real-world impact.
I work at the intersection of machine learning, product thinking, and robust engineering—turning emerging capabilities into systems people can rely on.
Machine Learning Specialty
Amazon Web Services
2026Professional ML Engineer
Google Cloud
2026Generative AI with LLMs
DeepLearning.AI
2025Deep Learning Fundamentals
NVIDIA
2025Field notes
What I'm thinking about.
016 min read024 min read038 min read
Designing memory for useful AI
A practical framework for context that stays relevant without growing forever.
When agents should ask
Why knowing when to clarify is as important as knowing how to act.
From prototype to dependable system
The engineering choices that turn an impressive demo into trustworthy software.
Start a conversation
Let's build something
meaningful.
Open to thoughtful collaborations, ambitious systems, and conversations about what intelligence can become.
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