Headline

Forward Deployed Engineer | Ex - Snabbit | CRED | BITS Pilani

About

I work in product and growth at early-stage and high-growth consumer companies. Over the past year, I've spent time across a Quick-service marketplace and a leading fintech platform. On the product side, I've worked on problems like why users drop off before booking, how to structure incentives that actually retain, and where the company is leaking money on unit economics. On the risk and operations side, I've owned the shift from legacy voice-based collections to an AI-driven collections platform, built contact enrichment pipelines across high-risk borrower segments, A/B-tested payment commitment campaigns at scale, and designed AI quality assurance frameworks to keep automated conversation flows reliable. I've also built fraud detection systems, optimized booking funnel conversion, and designed retention programmes that directly moved business metrics. Across all of this, I've worked with SQL, Python, Databricks, Mixpanel, CleverTap, cohort analysis, funnel optimization, KPI tracking, and data visualization to go from messy business problems to decisions that actually move something. I'm looking for Founder's Office, Product Management, and Strategy roles at early-stage consumer companies. The kind of work where you're close to the user, close to the business, and your output changes what gets built.

Location

Bengaluru

AI stack

claude code

claude

codex

n8n

notion

ChatGPT

Work experience

Associate at Indus Insights, Jul 2026 - Present · 3 mos, Gurugram

Forward Deployed Engineer at Stealth AI Startup, May 2026 - Jul 2026 · 3 mos, Bengaluru, Joined the founding team of an early-stage AI startup building a cross-system orchestration layer for B2B enterprise clients. 1. Building a 0-to-1 AI orchestration layer that unifies fragmented enterprise systems (ERP, CRM, procurement) into a single workflow 2. Designing automated alerting and reporting for operations teams, reducing manual tracking effort across payment cycles and cash flow data 3. Owning end-to-end product scoping — from PRDs to MVP implementation — across multiple enterprise integrations

Product Analyst at Snabbit, Jan 2026 - Apr 2026 · 4 mos, On-site, Worked on the Consumer Product data team at a last-mile home services platform, driving data-backed improvements across growth, ops, and trust. 1. Improved booking conversion by 8% by identifying that displayed expert ETAs were inflated versus actuals, driving a 4% reduction in shown arrival times 2. Owned the end-to-end launch of a new product category as SPOC — built automated data pipelines, an operations dashboard, and a live growth tracker used daily by product and ops teams 3. Built fraud-detection logic across device, phone, and address signals, flagging 6% of referrals as fraudulent and automating screening to protect acquisition spend at scale

Risk Analyst at CRED, May 2025 - Dec 2025 · 8 mos, Bengaluru, Worked in the collections strategy vertical of a fintech platform, focused on improving customer reachability and repayment outcomes for high-risk cohorts. 1. Expanded reachable customer coverage by 2.8L alternate numbers through a data enrichment and validation pipeline, improving right-customer contact quality 4x across high-risk cohorts. 2. Led the 0-to-1 transition of collections operations from legacy voice to an AI-driven platform, lifting connect rates by 14.8%, doubling calling intensity, and cutting vendor dependency by 75% 3. Launched and A/B tested a commitment campaign that drove same-day resolution of overdue payments, standardizing operations across vendors for 7,000+ users. 4. Refined GenAI knowledge bases, guardrails, and QA frameworks across conversation flows, improving borrower engagement and repayment signal quality

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Birla Institute of Technology and Science, Pilani - Goa Campus

M.Sc Biological Sciences, Birla Institute of Technology and Science, Pilani - Goa Campus