Headline

Senior Product Manager at Paypal - AI/ML platform

About

As a Senior Product Manager at GoKwik, I focus on building and scaling innovative solutions for e-commerce, including KwikFlows, a no-code workflow automation platform, and Kwik.AI, an ML-powered RTO risk engine. These products have driven GMV uplift, merchant autonomy, and operational efficiency for 2,500+ D2C brands, achieving high adoption and retention rates. With a B.E. in Manufacturing Engineering from Netaji Subhas Institute of Technology, I bring a strong technical foundation to product management. My professional journey includes delivering impactful customer-facing features at Niyo Solutions Inc., enhancing KYC compliance through Video KYC, and developing scalable risk engines. Skilled in E-Commerce, Risk, and AI, I aim to empower merchants and optimize user experiences.

Location

Bengaluru

AI stack

claude code

langfuse

mcp

openai

ChatGPT

OpenRouter

Work experience

Senior Product Manager - AI/ML Platform at PayPal, Nov 2025 - Present · 10 mos, Bengaluru, Karnataka, India, Driving faster time-to-market for PayPal's fraud, risk, and ML teams by building the platforms that compress experimentation and response cycles — from weeks to hours. Simulation Platform - Feature, Model & Rules 1. Owning the product roadmap for PayPal's centralized backtesting platform, enabling data scientists, ML engineers, and risk analysts to run what-if scenarios across rules, features, and models — without waiting on bespoke engineering pipelines. 2. Driving self-serve adoption across Risk, Compliance, Credit, and 5+ partner orgs — reducing experimentation lead times and unblocking faster model iteration at scale (Apache Spark, BigQuery, GKE). 3. Defining platform quality standards — coverage, accuracy, and reproducibility benchmarks — to ensure backtesting results translate reliably to production outcomes. Hypernet — Fraud Rule Automation 4. Building PayPal's fraud response system — automating the full rule lifecycle from alert to deployment: dataset generation, ML-powered rule recommendations, templatized rule authoring (credit fraud, account takeover), and evaluation. 5. Enabling rule writers and data scientists to self-mitigate fraud responses for merchants at scale — collapsing a multi-day manual process into a real-time, automated pipeline that reduces fraud exposure TTM of various types ATO (Account Takeover), BNPL, ACH.

Senior Product Manager at GoKwik, Dec 2022 - Nov 2025 · 3 yrs, Bengaluru, Karnataka, India, Senior Product Manager - Risk & Decision Platform Designed and developed AI/ML-powered RTO Risk Intelligence platform enabling D2C merchants to predict and prevent return-to-origin losses. Designed and built India's first no-code workflow automation platform (KwikFlows) enabling D2C brands to build custom checkout flows and run A/B tests without engineering dependency. Validated product-market fit through 50+ merchant interviews achieving 100% adoption in target segment. Scaled merchant base from 70 to 2,500+ brands in 1 year with 60% product adoption from active clientele and 80% M3 retention rates. Generated $X ARR through tiered pricing model, with merchants creating 200+ workflows in first 40 days post-launch. Built MVP with 1 engineer and scaled to a self-serve diagnostic tool processing 4,500+ analyses monthly, saving merchants 20+ hours/week in manual operations. This platform has been adopted by 2,500+ brands across India's D2C ecosystem. Developed DIY RTO Risk Simulator allowing enterprise merchants to run real-time risk scenarios and optimize order acceptance strategies. Led team of 12 engineers and 5 data scientists to build and deploy ML models that reduced RTO rates across the merchant network.

Product Manager (Neobank) at Niyo Solutions Inc., Jan 2020 - Dec 2022 · 3 yrs, Greater Bengaluru Area, Led end-to-end product development for fintech compliance and customer experience initiatives managing cross-functional team of 20+ members across engineering, data science, and operations. Designed and launched video-based KYC solution for digital account opening, increasing adoption by 26% and improving NPS by 5 points. This solution automated compliance workflows reducing manual verification time and improving customer onboarding experience. Built automated support platform using ML-based query classification and response generation. This system resolved 73% of customer queries automatically while maintaining 80%+ CSAT scores. Reduced partner issue resolution time from 72+ hours to <24 hours, improving CSAT by 14 points. Developed a community engagement platform for Niyo users, enabling peer-to-peer financial discussions and support. Scaled platform to 15K+ active members and 100K+ monthly active users, driving 65% improvement in user engagement metrics.

Data Scientist at Quantiphi, Jul 2019 - Jan 2020 · 7 mos, Mumbai, Maharashtra, India, Built end-to-end augmented analytics system for media industry client extracting actionable insights from viewership data and content metadata. This system processed petabytes of streaming data to generate content performance metrics and audience behavior patterns. Developed and deployed text-based recommendation engine using NLP and collaborative filtering techniques to optimize content performance across multiple media properties. Delivered ML pipeline from data ingestion through model training to production deployment.

Research Assistant at MIDAS-IIITD, Feb 2018 - Nov 2018 · 10 mos, Greater Delhi Area, As a Research Assistant at the MIDAS Lab under Prof Rajiv Ratn Shah (IIIT Delhi) and Prof Roger Zimmerman (NUS Singapore), I contributed to the following projects: → Speech Reconstruction using Multi-view Silent Video Feed: My team and I developed a CNN-LSTM-based Deep Learning System that utilized silent video feeds from multiple cameras recording the same subject to generate intelligent speech for a speaker. → Optimal Camera Placement: In addition to developing the Deep Learning System, I also identified the optimal placement of cameras that would lead to the maximum intelligibility of speech. → Publication: My paper on Speech Reconstruction was selected (6% Selection Rate) under "Brave New Ideas" at ACM Multimedia, 2018.

Education

Manufacturing Process and Automation Engineering, Manufacturing Engineering, Netaji Subhas Institute of Technology

sri venkateshwar international school

Public links

github: https://github.com/PrathamNawal