About
I grew up watching my dad design computers — it lit a lifelong obsession with understanding and building software. That curiosity took me through engineering, hackathons, and eventually into product management at some of the most exciting early-stage B2B AI startups in India and the Middle East.
Over the last 7 years, I've worked at the frontier of enterprise AI — scaling Voice Contact Center AI from zero to $1.5M ARR and 5 million monthly conversations, and now at Omnissa, applying AI to End User Computing — turning how enterprises manage, secure, and support their digital workforce from a reactive IT burden into something intelligent and self-healing. I operate at the intersection of strategy and execution — I'm here to ship real value, not manage roadmaps.
Currently
Work Experience
Skills
AI & Machine Learning
Product
Technical
Things I've shipped
A selection of product work across AI, CCaaS, and enterprise SaaS.
No-Code AI Workflow Agents
We designed a three-party architecture that could balance flexibility, scalability, and control for no-code AI workflow agents.
Building Voice Gateway Infrastructure
How we reduced voice agent latency from 6 seconds to 400ms by building our own in-house Voice Gateway infrastructure.
Okta Integration
Enterprise customers often manage access control and user provisioning through Single Sign-On (SSO). This project will enable SSO integration with Okta, aligning with enterprise security requirements and streamlining user access management.
Achieving PMF for Contact Center AI
Built the product market fit strategy of Fundamento's CCaaS platform by relying on market research and experimentation, with a goal to reduce AHT of enterprise contact centers.
Scaling Sharefile
Identify areas to improve Sharefile by integrating ShareFile into the user’s identity, finding market gaps and reducing offline redundancies for users.
Things I've written
Technical writing on AI, product, and engineering from the field.
Observability in Agentic Systems
The worst failure in an agentic system isn't a crash — it's silence. A breakdown of the three hardest things to observe in multi-agent pipelines and a practical framework to fix it.
RBAC in Agentic Systems
RBAC was designed for humans. As AI systems grow more agentic, the old model starts to crack in ways most teams don't anticipate — and what to do instead.
I build things too
Personal tools I've built and use myself.
I like building things
During my time in university, I attended multiple hackathons. People from around the country would come together and build incredible things in 2–3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
- D
Deloitte Hackathon - Winner
Hyderabad, India
Trained a sentence transformer models using Tensorflow, and developed a web application for Emergency medicine. - C
Coviam Hackathon - Winner
Bhubaneswar, India
Developed a Cricket gaming application using Engati. - A
Accenture Hackathon - Runner Up
Remote
Developed an AI application for summarizing judicial papers. - S
Startup India - Winner
Bhubaneswar, India
Developed a low cost prototype for extracting soy milk from soybeans.
Let's get in touch
Open to collaboration, coaching, and speaking opportunities. I'd love to hear from you.