Taha Siddiqui
3D portrait of Taha Siddiqui

TAHA SIDDIQUI

AI Engineer - Founder - Builder - Speaker

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About

Hey. I build AI that ships.

I build AI products end-to-end - architecture to delivery. Most AI stays stuck in notebooks; I take systems from zero to production and make them reliable, scalable, and useful for real teams.

  • Microsoft - building agents that live inside Azure.
  • Fiddler - helped Fortune 50 companies see what their AI was doing.
  • Spillmate - founded an AI mental health project people actually need.
Get in touch
7,836 Community on LinkedIn
2 Research papers published
9 Certifications earned
4+ Years building in AI

Experience

Built in production.

Five roles, one thread: shipping AI systems people can use.

Microsoft

Apr 2026 - Present

Now

Software Engineer II

Shipping Copilot AI agents inside Azure. Real systems, real scale, real results.

  • Built agents teams reach for inside Azure products.
  • Learned what it takes to make AI reliable enough for enterprise.
  • Agentic AI
  • Copilot
  • Azure
  • Enterprise
Fiddler AI

Aug 2024 - Apr 2026

Full-time

AI Engineer

Helped Fortune 50 companies see inside their AI. Observability is how you know what is happening.

  • Got my hands dirty integrating observability into production ML systems at scale.
  • Worked directly with customers to understand what they needed. Then built it.
  • Learned enterprise architecture the hard way. Did it with teams that had no room for failure.
  • AI Observability
  • LLMOps
  • ML Systems
  • Agentic AI
  • Enterprise
Spillmate

Mar 2022 - Mar 2026

Founder

Started Spillmate while building other things. Built an AI that helps with mental health because I thought it was important.

  • Won a 2.5 lakh grant for the early prototype.
  • Got a team together with Rehan and Tuhin. Built an MVP people used.
  • Learned that building something real means dealing with complexity. Not just the tech part.
  • NLP
  • Early-stage Transformers
  • Product
  • Startup
  • Mental Health

QSS Technosoft

Aug 2023 - Aug 2024

Full-time

Software Engineer

Got hired before I graduated. Built AI products that startups shipped to real users.

  • Built RAG systems that held up at scale.
  • Spent a year shipping. Not planning. Shipping. That taught me more than anything else.
  • ML Prediction Models
  • RAG Apps
  • Deployment
  • RAG
  • Semantic Search
  • LLM
  • LangChain

AIW - Artificially Intelligent Workforce

Jun 2023 - Aug 2023

R&D Intern

Early team. Automated repeated browser tasks with a Chrome extension - the boring work, done fast.

  • Built a Chrome extension that automated repetitive browser workflows.
  • Built the first version of workflows on top of LLMs.
  • Browser Automation
  • Chrome Extension
  • AI Automation
  • RPA
  • LLM

What I build

Systems, not demos.

The work spans the AI stack - from agents and retrieval to the observability that keeps them honest.

01

Agentic AI - from zero to shipping

I know how to take agents from idea to production. The hard part is not the tech. It is making it reliable at scale.

02

AI observability - see what is really happening

If you cannot measure it, you cannot trust it. Built observability systems that give teams real visibility.

03

RAG that works

Most RAG systems fail. I know what makes them work. Across OpenAI, Pinecone, and other stacks.

04

AI automation - removing busywork

Built systems that automate real work. The kind that makes teams ask "how did we do this before?"

05

ML systems and LLM deployment

Production systems that do not break. Infrastructure that scales. The unglamorous work that matters.

06

Enterprise architecture

Learned from working with huge teams on mission-critical systems. No shortcuts, no excuses.

The toolkit

What I build with.

The stack behind the systems - languages, frameworks, and the MLOps that keeps them honest in production.

The arc of the work

How the focus moved.

No invented proficiency scores - the signature domain each chapter centered on, in the order it happened. Five roles, one direction.

  1. 2022 NLP & early-stage transformers Spillmate Founder · 4 yr
  2. 2023 Browser automation & Chrome extensions AIW - Artificially Intelligent Workforce R&D Intern · 2 mo
  3. 2023 DevOps QSS Technosoft Software Engineer · 1 yr
  4. 2024 AI Observability for enterprises Fiddler AI AI Engineer · 2 yr
  5. 2026 Agentic AI Microsoft Software Engineer II · 2 mo
Signature domain Live role Derived from real role history - each stop is one role's central domain.

Writing & research

Published & peer-reviewed.

Two papers presented at IEEE / IIT Delhi and Poornima University - plus certifications, kept current.

Research papers

Certifications

  • Agentic AI DeepLearning.AI
    Jan 2026
  • LangChain in Action: Develop LLM-Powered Applications Udemy
    Apr 2024
  • + 7 more credentials 9 total, including RAG & LLM application courses

Speaking

On stage - and in the audience.

From presenting papers at IIT Delhi to returning as an alumnus to the room where it started.

“Where you start doesn’t decide where you end up.”

Alumni talk - where I started · Manav Rachna University

Went back to the same room where I sat five years ago. Told students what I learned. How to get curious about hard problems. How to work with people who push you. How your starting point does not define your end point.

The journey

2022 → today.

Built in parallel - a startup carried alongside study and full-time roles.

  • Microsoft - Software Engineer II Apr 2026 – Present
  • Fiddler - AI Engineer Aug 2024 – Apr 2026
  • Spillmate - Founder Mar 2022 – Mar 2026
  • QSS - Software Engineer Aug 2023 – Aug 2024
  • AIW - R&D Intern Jun 2023 – Aug 2023
Current role Past roles · overlapping spans are real

Contact

Let’s build something.

Open to conversations about agentic AI, enterprise AI systems, and the occasional good idea worth chasing. Drop a line - it’s one of my favourite things to talk about.

Prefer email? letstalk@heytaha.com LinkedIn