LLM Architecture Explained: From Tokens to Text
2026-03-03A practical walkthrough of modern LLM architecture: tokenizer, transformer blocks, attention, training, and inference-time optimization.
I like starting from a blank slate and turning it into a finished product. From frontend and backend to deployment, I focus on building software that's practical, usable, and reliable.
Pune · Remote
Pune, Maharashtra, India · Remote
Pune, Maharashtra, India · Hybrid
Pune, Maharashtra, India · Remote

AI-powered work orchestration platform that extracts tasks from chats and emails, summarizes meetings with transcript + RAG workflows, and centralizes priorities in a dashboard with mindmap visualization and admin controls.



AI-assisted SAR drafting system for AML workflows with multi-stage LLM validation, strict compliance guardrails, role-based review, and sentence-level traceability for regulator-ready auditability.
A practical walkthrough of modern LLM architecture: tokenizer, transformer blocks, attention, training, and inference-time optimization.
How read replicas reduce primary database load, improve read throughput, and what consistency tradeoffs to watch in production.
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