New York · AI engineering leadership

Preet Chhabra

Technical Product Manager & AI Engineering Leader

10+ years turning generative AI & analytics into measured outcomes in regulated finance & insurance.

65%faster query resolution (GenAI assistant)
+233%product adoption in 6 months
97%GenAI query accuracy
100→40,000daily active users scaled
−35% / +25%latency / CRM effectiveness
+15%development velocity

Summary

Product strategy, shipped as working AI.

Technical Product Manager and AI engineering leader with 10+ years delivering data-driven, AI/ML-powered SaaS in regulated domains. Defines product strategy, aligns stakeholders, and ships user-facing generative AI that moves real business metrics across desktop, mobile and web at enterprise scale.

2022–present Director of AI Engineering / Product Lead Resolution Life · New York
2021–2022 MLOps Lead Cerebra · San Francisco
2019–2021 Engineering Manager (Product Delivery) Kraftshala · Remote
2018–2019 CTO / Co-Founder · Product Owner Trapigo · India

Experience

Four chapters, one throughline: AI that ships.

Resolution Life

Director of AI Engineering / Product Lead

2022–present · New York

The headline case. Spearheaded an LLM-powered insurance/finance knowledge database that became a user-facing GenAI assistant answering natural-language queries across desktop and mobile. Established QA metrics, adoption monitoring and iteration cycles; directed cross-functional engineering, data science, UX and product teams.

97%query accuracy
65%faster resolution
+233%adoption / 6 months

GenAI
LLM
Enterprise
Regulated

Cerebra

MLOps Lead

2021–2022 · San Francisco

A turn toward reliability — making AI features observable and trustworthy in production. Shipped user-facing ML pipeline monitoring dashboards; defined requirements for scalable ML pipeline products on containerized platforms; ran agile ceremonies.

+15%development velocity
ContainerizedML pipelines

MLOps
Observability
Agile

Kraftshala

Engineering Manager (Product Delivery)

2019–2021 · Remote

Brought in to turn ML into product that scales. Partnered with business stakeholders to design and deliver ML-powered CRM and analytics platforms; translated OKRs into roadmaps; mentored engineers and data scientists.

100→40,000daily active users
−35%latency
+25%CRM effectiveness

Leadership
ML Product
Scale

Trapigo

CTO / Co-Founder · Product Owner

2018–2019 · India

The origin: a founder building a last-mile logistics SaaS with predictive analytics from zero. Owned product end to end — MVP scope, roadmap and market-fit via direct client engagement; architected microservices in GoLang/AWS with user-facing and delivery-person mobile apps.

0→1product shipped
GoLang/AWSmicroservices

Founder
Predictive Analytics
GoLang

Method

How he runs AI

Eval-first. Ships AI against hard QA metrics — drove a GenAI assistant to 97% accuracy before users.
KPI-driven adoption. Tracks adoption, engagement and satisfaction — lifted product adoption 233% in six months.
Regulated by default. Builds for finance/insurance compliance, not around it.
Productizes AI. User-facing generative AI across desktop, mobile and web — products, not demos.
Reliable in production. MLOps, monitoring and iteration keep AI trustworthy at enterprise scale.
Leads cross-functionally. Aligns engineering, data science, UX and product around outcomes.

Still building

The Lab

Off the clock: a self-hosted network of live products and the infrastructure to run them. Every service is live and monitored.

Toolkit

Skills

GenAI
LLMs
NLP
MLOps
Predictive Analytics
Product Strategy & Roadmaps
KPI/Adoption
Python
Java
GoLang
Scala
AWS
Azure
Regulatory & Compliance

Case closed

Identity confirmed

Preet Chhabra — an AI engineering leader who turns generative AI into measured enterprise outcomes, and still ships with his own hands. If you’re hiring for AI leadership, the evidence is on the table.