Shubham Pagare
I turn complex AI systems into outcomes that hold in production.
I turn complex AI systems into outcomes that hold in production.
I'm an engineer. I build AI platforms, make systems faster and more reliable, and get that work into production. I also understand the business problem, so what ships is aimed at an outcome, not just a technical win.
The instincts behind the tools — how I approach systems, diagnostics, and hard problems.
See the whole system before the parts — design for scale, trace the data, anticipate where it breaks.
Comfortable in the weeds: thread dumps, memory leaks, latency hotspots, token-level profiling.
Break ambiguous, multi-layer issues into root causes — then ship the fix that actually holds.
Translate complex engineering into decisions leaders can act on.
A run through the roles, the clients, and the measurable outcomes — from AI agent platforms to deep performance forensics.
From agentic orchestration to thread-dump forensics — the stack behind the outcomes.
LangChain
LangGraph
Langfuse
AI Agent Dev
LLM Observability
E2E Trace Analysis
Prompt Engineering
Azure Load Testing
LoadRunner
Grafana
Datadog
Dynatrace
CloudWatch
App Insights
Azure AKS
AWS ECS
GCP
Jenkins
Azure ADO
Docker
Git / GitHub
Microservices
Python
JavaScript
React
Django
C++
Thread / Heap Dump
AWR
LLM Token Profiling
Thinking out loud on AI systems, context, and making agents useful in the real world.
A walkthrough of what happens when you hit send — tokens, embeddings, attention, sampling — using one sentence: “The cat sat on the mat.”
Open sessionMost AI products don't fail because the model is weak. They fail because the architecture assumed a clean world — complete docs, linked alerts, tidy ownership — that never existed outside the slide deck.
Read essayAgents don't need another chat window. They need a budgeted, task-shaped context pack — Map, Facts, Evidence — assembled ahead of the session so they stop rediscovering the monorepo every time.
Read essayOpen to roles and collaborations in AI platform engineering, LLM observability, and performance. The fastest way to reach me is below.
Preview isn't available in this browser. Open the PDF or download it.