About
At Trail (formerly Nanonets) I own enterprise accounts from the moment the deal is signed. I learn how the customer's teams work, design the AI agents, connect them to their systems, get them live, prove the ROI and grow the account.
Before that I've been on most sides of building a product: a product manager shipping zero-to-one LLM products and the growth engine around them, a founding member who raised a pre-seed round and scaled a consumer startup, a product analyst at MakeMyTrip, and a data engineer building NLP and MLOps pipelines at Fractal.
The thread through all of it: I like turning a blank page, or a messy workflow, into something that works in production and earns its keep. Comfortable with a SQL query, an API integration or a customer workshop, often in the same day.
Experience
- NanonetsTrail
Sep 2025 – present
Gurgaon / remote
Engagement Manager
- Helped build the US healthcare vertical from zero to roughly $1M in revenue within its first year.
- Single post-sales owner across discovery, solution architecture, EHR/EMR integrations, UAT, go-live, production performance, ROI and account growth.
- Owned multi-agent implementations from process mapping through deployment and adoption, with no major escalations.
- Led API and platform integrations across customers, engineers and external vendors, from sandbox to production.
- Zulu Club
Dec 2024 – Sep 2025
Gurgaon
Founding member, product & growth
- Built and launched Delhi NCR's first quick commerce for fashion, with 100-minute delivery, as one of three founders; raised a $250K pre-seed.
- Scaled monthly sales 18× in four months, from ₹86K to ₹15.2L.
- Built and led a 10-person team with a weekly release cadence and metrics-led experiments.
- Nanonets
Jan 2024 – Dec 2024
San Francisco / remote
Product Manager, Growth
- Owned strategy and roadmap for an AI document-automation portfolio; launched zero-to-one LLM products that became a core product-led growth channel.
- Built an SEO-led, freemium acquisition engine: doubled MQLs, 1.5× SALs, ~50% of website traffic.
- Cut model and API costs 50% (about $100K a year) through model routing, usage controls, pricing gates and vendor optimisation.
- MakeMyTrip
Jun 2022 – Oct 2023
Gurgaon
Product Analyst
- Redesigned Supplier Deals with post-promotion pricing insights: +15% feature adoption, +7% partner room-night bookings.
- Led the Google Analytics to Omniture migration after the GI–MMT merger, saving $100K a year; self-serve dashboards lifted engagement 25%.
- Fractal Analytics
Jun 2021 – Jun 2022
Gurgaon / remote
Data engineering & data science
- Built NLP pipelines mining Reddit, Twitter, Amazon and Instagram data to guide a global consumer-goods company's roadmap.
- Built MLOps demos on Vertex AI, Airflow and Databricks for automated profiling and retraining.
Education and certification
BITS Pilani
B.E. Electrical and Electronics Engineering
2017 – 2021
Microsoft Certified
Azure Data Engineer Associate
Toolkit
Deployment and delivery
- AI agents
- Workflow discovery
- Solution design
- Integrations
- UAT and production rollout
- Adoption and expansion
AI and engineering
- Python
- SQL
- JavaScript
- RAG
- LangChain
- Claude
- GPT-4
- Vertex AI
- Postgres
- Airflow
- Databricks
- REST APIs