Shubham Pagare — AI Platform & Performance Engineer

About

Engineer, translator, builder

I sit where business goals meet technical reality — and make sure both win.

I'm a senior AI and performance engineer who understands the business behind the build. I don't just write code — I turn ideas into shipped, scalable reality, and I make sure the engineering serves a real outcome.

Much of my work happens in the gap between stakeholders and development: clarifying what's actually needed, surfacing tradeoffs early, and translating ambition into systems that perform. My favorite thing to do is make complicated things feel simple — for users, for teams, and for the people making the call.

I understand the business, not just the code

I turn ideas into shipped reality

I bridge the gap between stakeholders and development

I make critical, complex things simple

120%

response-time gain on WebSocket bottlenecks

10×

execution speedup, Python → C++

~6 min

analysis cut from a 1-hour task

100%

tool-licensing savings vs LoadRunner

How I work

The way I think

Beyond the tools — the engineering instincts I bring to every system, team, and hard problem.

Architect Mindset

See the whole system before the parts — design for scale, trace the data, anticipate where it breaks.

Critical Thinking

Question assumptions, follow evidence, and reason from first principles instead of surface symptoms.

Problem Solving

Break ambiguous, multi-layer issues into root causes — then ship the fix that actually holds.

Deep Diagnostics

Comfortable in the weeds: thread dumps, memory leaks, latency hotspots, token-level profiling.

Stakeholder Clarity

Translate complex engineering into decisions leaders can act on — straight to the people who matter.

Continuous Learning

Stay ahead of a fast-moving field — from load testing to agentic AI — and bring teams along.

Experience

Where I've shipped

A run through the roles, the clients, and the measurable outcomes — from AI agent platforms to deep performance forensics.

Dec 2024 — Present

Senior Performance & AI Engineer

Waynautic Technologies

Client: PwC US— AI-based product on Azure Cloud

Designed and deployed multi-agent AI workflows with LangChain, LangGraph, and Azure OpenAI to automate QA and business processes.
Built a custom E2E trace tracking tool with Langfuse for deep LLM pipeline visibility — surfacing latency hotspots, token inefficiencies, and failure points.
Led AI performance engineering across LLM analysis, load-testing strategy, and Azure optimization, driving measurable cost reduction.
Identified critical architectural bottlenecks and shaped design decisions in direct review with PwC US stakeholders.

Sept 2023 — Nov 2024

Performance Engineer

Zensoft Services

Client: PwC US

Achieved 120% response-time improvement and ~0.1% error rate resolving multi-layer WebSocket performance issues.
Built a custom JMeter + Selenium framework replacing LoadRunner TrueClient — 100% savings on tool licensing.
Automated test execution and analysis on Azure ADO with Python, cutting insight-delivery time by 50%.

Aug 2021 — Sept 2023

Performance Engineer

NTT Data Services

Client: Uniqlo (UQ)

Led an in-house open-source monitoring & auto-analysis tool, reducing a 1-hour task to ~6–7 minutes.
Diagnosed memory leaks, packet drops, and microservice issues across AWS and GCP, significantly improving production stability.
Built precision JMeter load models and implemented database replication for improved reliability.
Star Award (Foresight & Hard Work) and KK Award (Outstanding Performance of the Year).

Jan 2021 — June 2021

Engineering Intern

Softnautics LLP

Migrated a codebase from Python to C++, achieving a 10× improvement in execution speed.

Toolkit

What I work with

From agentic orchestration to thread-dump forensics — the stack behind the outcomes.

Generative AI & Agentic Systems

LangChainLangGraphLangfuseAI Agent DevLLM ObservabilityE2E Trace AnalysisPrompt Engineering

Performance & Monitoring

JMeterGatlingAzure Load TestingLoadRunner

GrafanaDatadogDynatraceCloudWatchApp Insights

Cloud & DevOps

Azure AKSAWS ECS

GCP

Jenkins

Azure ADO

Docker

Git / GitHubMicroservices

Programming & Analysis

Python

JavaScript

React

Django

C++Thread / Heap DumpAWRLLM Token Profiling

Selected Work

Things I built

Platforms born from the same instinct — making complex AI systems measurable and accountable. Hover to watch them run.

hover to run

01 / AGENTS

AI Agent Platform

LangGraph-based agents that talk to each other to handle QA and business automation.

Integrated enterprise tools and workflows, reducing manual effort and improving operational efficiency.

LangGraphMulti-AgentAutomation

hover to run

02 / OBSERVABILITY

LLM Observability Platform

End-to-end trace analysis on Langfuse — watch spans flow through the pipeline.

Tracks latency, token consumption, failures, and cost for root-cause analysis.

LangfuseTracingToken Profiling

hover to run

03 / NOW

Currently Exploring

Sharpening fundamentals — data structures & algorithms and competitive programming.

Going deeper on agentic AI patterns and system design to build faster, sturdier systems.

DSACompetitive ProgrammingSystem DesignAgentic AI

Foundations

Education & recognition

DEGREE

B.Tech, Computer Science (AI/ML)

MIT ADT University, Pune

CGPA 8.32/10 · Distinction · Aug 2017 — July 2021

Star Award — Foresight & Hard Work · NTT Data KK Award — Outstanding Performance of the Year · NTT Data

CERTIFICATIONS

2024Site Reliability Engineering — Google / Coursera

2019Data Science Orientation — IBM / Coursera

Contact

Let's build something observable.

Open to roles and collaborations in AI platform engineering, LLM observability, and performance. The fastest way to reach me is below.

shubhamp2017@gmail.com +91 70281 19806 LinkedIn GitHub