I build software at the intersection of machine learning, agent infrastructure and blockchain. Since December 2025 that has meant Cruq AI, which I cofounded and where I am CTO.
Before it I was CTO at Sendit Markets, and spent two years at Persistence Labs on liquid staking, money markets and decentralised exchanges. Further back: packet processing at Intel, machine learning research at the Centre for Neuroscience, an MTech in computer science at IISc. Before any of the engineering, two years selling prepaid telecom across Mumbai and Kolkata, which taught me more about how a product actually reaches people than anything since.
Building
-
Cruq AI
2025 —
A visual canvas for composing, deploying and monitoring production AI agents. Bring your own provider keys; we take no cut of your tokens. Underneath sits a multi-tenant execution layer with sandboxed runtimes and streaming traces, and it self-hosts for teams with data-residency requirements.
The bottleneck was never model capability. It was the distance between an agent that works in a prototype and one you would leave running in production.
- talentreview.ai Applicant tracking
- findprop.ai Real estate
- clawduck.com AI assistant
- blinkslabs.xyz Agents for blockchain
Work
-
CTO, Sendit Markets
2024 – 2025
Decentralised payment infrastructure: real-time pipelines on RabbitMQ and Elasticsearch, Go and Python services, and contracts for payments and reputation scoring.
-
Blockchain Developer → Senior, Persistence Labs
2022 – 2024
Liquid staking, money markets, decentralised exchanges and data indexing.
-
Software Engineer, Intel
2021 – 2022
Poll-mode drivers and packet pipelines in C, profiled and benchmarked with DPDK.
-
ML Research Assistant, Centre for Neuroscience, IISc
2020 – 2021
Master’s thesis: brain age and gender estimation from functional and anatomical MRI, using compact 3D and 2D convolutional networks with transfer learning, down to a mean absolute error of 1.99 years on the RADC-MG cohort.
-
Data Science Intern, ZS
2020
Hierarchical demand forecasting on the M5 retail benchmark: 42,840 nested daily series across items, stores and departments. Built the training and validation pipeline, engineered features, and compared forecasting approaches over a 28-day horizon.
-
Management Trainee → Assistant Manager, Sales, Vodafone Idea
2016 – 2018
Territory manager for prepaid sales in Mumbai and Kolkata, running a distributor network through ₹8 million of business a month with 20 field sales executives.
Projects
-
Covid-19 tracker
2020
Android app for real-time case counts and essential services across India, pushing a notification as the numbers moved.
-
Sudar
2016
Android app for the channel distribution system in the Tamil Nadu and Chennai circle, around 500 users. Built while I was selling for Vodafone Idea.
Education
-
Indian Institute of Science
2019 – 2021
MTech, Computer Science.
-
Indian Institute of Management, Indore
2014 – 2016
MBA, Finance and Marketing.
-
IIEST Shibpur
2010 – 2014
BE, Electronics and Communications Engineering.