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Aashutosh Trivedi

AI Product Manager | Built LLM-Powered E-commerce from 0→10K DAU in 3 Months | GenAI Chatbots · Fintech · IIT Jammu

Chennai

6+ years of work experience

Keuro Life
Sep 20242 yrsPresent

Saudi Arabia

Joined Riyaah.sa (keuro life) as the first PM hire, stepping into a greenfield environment where product strategy, agile practices, and cross-functional collaboration had to be built from scratch. Within months, a 20+ member team was aligned on a shared roadmap and delivery framework, enabling rapid execution. The result was the successful launch of a multi-platform e-commerce ecosystem (React, iOS, Android) within 8 months that scaled to 10K+ DAUs within 3 months post launch. Alongside this, an AI LLM-powered chatbot was introduced, integrated with MCP servers, to enable conversational checkout and reduce friction in the buying journey—boosting conversions significantly. On the operational side, a custom ERP-integrated warehouse & logistics platform streamlined processes, achieving 50% faster operations and 40% fewer delivery delays. Catalogue upload programs were also run at scale, onboarding 15K SKUs via AI-generated catalogues in just 2 months, cutting onboarding time and errors. To drive data-led decision-making, a unified analytics stack (GTM, Firebase, Clevertap, Branch) was implemented, with standardized taxonomy that improved attribution and experimentation, raising ROAS.
Flooid.in
Apr 20244 moAug 2024

Remote

At Flooid, the challenge was to deliver impactful products for both consumers and enterprises. The journey began with building and scaling Centrum Wealthverse, a wealth management dashboard adopted by 25K+ users including UHNIs and HNIs, delivering real-time reporting and accelerating portfolio insights for faster, data-driven investment decisions. In parallel, the roadmap for HerKey, a women-first social platform, was defined and executed—growing from inception to scale within just 5 months. Enterprise programs followed, with a document workflow system for Reliance and a real-time EV dashboard for Ola—both addressing complex operational challenges and enabling better decision-making at scale. To sustain delivery velocity, agile practices were reinforced with dependency management and backlog grooming. CI/CD pipelines, code quality standards, and documentation were embedded, improving engineering efficiency by 20%. Beyond processes, a peer-led learning culture was cultivated through weekly workshops, encouraging experimentation, knowledge-sharing, and adoption of emerging technologies.
Flooid.in
Aug 20221 yr 8 mosMar 2024

Cognizant
Jun 20211 yr 3 mosAug 2022

India

Insurance Team for AIG USA - Managed a team of 10 engineers and led sprint planning and execution to ensure timely delivery of project milestones, despite official title remaining unchanged. - Initiated and conducted Data Structures & Algorithms (DSA) training programs for junior engineers, enhancing team skill levels and fostering a culture of continuous learning.
RIVIGO
Mar 20214 mosJun 2021

Gurugram, Haryana, India

- Managed vendor relationships and led fleet and workforce optimization initiatives through detailed time and work studies, improving operational efficiency and cost effectiveness. - Proposed a labour productivity initiative that drove 46% improvement and identified cost savings worth ₹18 lakhs through detailed activity time studies and data insights.
JUGAAD Advanced Analytics
Feb 20191 yrJan 2020

Amsterdam, North Holland, Netherlands

- Engineered a robust, end-to-end time series forecasting pipeline for Heineken's beer sales using ARIMA and SARIMA models, boosting prediction accuracy to 85% and enhancing strategic demand planning. - Spearheaded the design of scalable, modular data pipelines, enabling seamless integration and reuse across multiple forecasting projects. - Optimized raw datasets by eliminating 30% redundancy through advanced data cleaning techniques, significantly improving model performance and processing efficiency. - Transformed complex data into clear, actionable insights by crafting compelling, interactive visualizations, driving data-informed decisions across business teams.

Aashutosh’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
langgraph
langgraph
mcp
mcp
OpenRouter
OpenRouter
PydanticAI
PydanticAI

Education

Indian Institute of Technology Jammu

Bachelor of Technology - BTech, Mechanical Engineering

Indian Institute of Technology Jammu

20164 yrs2020

High School, Mathematics and Science

Rbse

20151 yr2016

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Headline

AI Product Manager | Built LLM-Powered E-commerce from 0→10K DAU in 3 Months | GenAI Chatbots · Fintech · IIT Jammu

About

I build products that combine AI, engineering, and business outcomes. For me, product management is the mix of art and science to create product that user’s love. It’s a way of managing the entire product lifecycle from identifying the problem, defining it, and properly getting it executed, launching it and then monitoring it. Best product managers makes the user awesome.

Location

Chennai

AI stack

anthropic apis

claude code

langgraph

mcp

OpenRouter

PydanticAI

Work experience

Lead Product Manager at Keuro Life, Sep 2024 - Present · 2 yrs, Saudi Arabia, Joined Riyaah.sa (keuro life) as the first PM hire, stepping into a greenfield environment where product strategy, agile practices, and cross-functional collaboration had to be built from scratch. Within months, a 20+ member team was aligned on a shared roadmap and delivery framework, enabling rapid execution. The result was the successful launch of a multi-platform e-commerce ecosystem (React, iOS, Android) within 8 months that scaled to 10K+ DAUs within 3 months post launch. Alongside this, an AI LLM-powered chatbot was introduced, integrated with MCP servers, to enable conversational checkout and reduce friction in the buying journey—boosting conversions significantly. On the operational side, a custom ERP-integrated warehouse & logistics platform streamlined processes, achieving 50% faster operations and 40% fewer delivery delays. Catalogue upload programs were also run at scale, onboarding 15K SKUs via AI-generated catalogues in just 2 months, cutting onboarding time and errors. To drive data-led decision-making, a unified analytics stack (GTM, Firebase, Clevertap, Branch) was implemented, with standardized taxonomy that improved attribution and experimentation, raising ROAS.

Senior Product Manager at Flooid.in, Apr 2024 - Aug 2024 · 4 mo, Remote, At Flooid, the challenge was to deliver impactful products for both consumers and enterprises. The journey began with building and scaling Centrum Wealthverse, a wealth management dashboard adopted by 25K+ users including UHNIs and HNIs, delivering real-time reporting and accelerating portfolio insights for faster, data-driven investment decisions. In parallel, the roadmap for HerKey, a women-first social platform, was defined and executed—growing from inception to scale within just 5 months. Enterprise programs followed, with a document workflow system for Reliance and a real-time EV dashboard for Ola—both addressing complex operational challenges and enabling better decision-making at scale. To sustain delivery velocity, agile practices were reinforced with dependency management and backlog grooming. CI/CD pipelines, code quality standards, and documentation were embedded, improving engineering efficiency by 20%. Beyond processes, a peer-led learning culture was cultivated through weekly workshops, encouraging experimentation, knowledge-sharing, and adoption of emerging technologies.

Product Manager at Flooid.in, Aug 2022 - Mar 2024 · 1 yr 8 mos

Associate Projects - Sr Software Engineer at Cognizant, Jun 2021 - Aug 2022 · 1 yr 3 mos, India, Insurance Team for AIG USA - Managed a team of 10 engineers and led sprint planning and execution to ensure timely delivery of project milestones, despite official title remaining unchanged. - Initiated and conducted Data Structures & Algorithms (DSA) training programs for junior engineers, enhancing team skill levels and fostering a culture of continuous learning.

Program Manager at RIVIGO, Mar 2021 - Jun 2021 · 4 mos, Gurugram, Haryana, India, - Managed vendor relationships and led fleet and workforce optimization initiatives through detailed time and work studies, improving operational efficiency and cost effectiveness. - Proposed a labour productivity initiative that drove 46% improvement and identified cost savings worth ₹18 lakhs through detailed activity time studies and data insights.

Data Science Intern (Remote) at JUGAAD Advanced Analytics, Feb 2019 - Jan 2020 · 1 yr, Amsterdam, North Holland, Netherlands, - Engineered a robust, end-to-end time series forecasting pipeline for Heineken's beer sales using ARIMA and SARIMA models, boosting prediction accuracy to 85% and enhancing strategic demand planning. - Spearheaded the design of scalable, modular data pipelines, enabling seamless integration and reuse across multiple forecasting projects. - Optimized raw datasets by eliminating 30% redundancy through advanced data cleaning techniques, significantly improving model performance and processing efficiency. - Transformed complex data into clear, actionable insights by crafting compelling, interactive visualizations, driving data-informed decisions across business teams.

Education

Bachelor of Technology - BTech, Mechanical Engineering, Indian Institute of Technology Jammu

High School, Mathematics and Science, Rbse