Hrishikesh S. profile photo 1 on Tal

Hrishikesh S.

Technical Product Manager @Zintlr | AI Agent Orchestration (LangGraph & PydanticAI) & Full-Stack Builder (Claude Code) | AdTech Infra (sGTM & CAPI) | Fraud Tech & Signal Resilience Expert | 0→1 SaaS & Enterprise Infra

Bengaluru

5+ years of work experience

Zintlr
Aug 20263 mosPresent

Bengaluru

ZIGRAM
Jan 20267 mosJul 2026

Gurugram

- Leading the end-to-end product lifecycle for next-gen AI application, focusing on greenfield development and autonomous agent orchestration. - Product Ownership: Building 'Fraud Fighter' from the ground up, managing everything from initial discovery and architecture to full-stack deployment. - AI Orchestration: Pioneered 'Vibe Coding' methodologies for enterprise-grade applications, utilizing Claude Code as a central development brain to accelerate GTM. - Technical Innovation: Custom-engineered the 'Antigravity Zapier Figma MCP' to bridge the gap between design, automation, and workflow orchestration.
Datahash
May 20241 yr 8 mosDec 2025

Remote

- Built the Connectors Platform end-to-end, scaling to 90+ live integrations adopted by enterprise clients and supporting a multi-million ARR customer segment across US/EU markets. - Launched Meta Conversions API Gateway and Signals, becoming a Meta-recognized solution and unlocking a high-volume pipeline of new advertiser accounts for commercial teams. - Shipped a config-driven connector UI framework that cut UI build time from days to hours, accelerating customer-facing releases and shortening integration onboarding cycles. - Built GPT-powered automation to generate structured PRDs across FE/BE/API scopes, significantly reducing planning latency and improving cross-team clarity pre-development. - Designed and rolled out an AI-driven workflow layer to eliminate manual product ops work, increasing delivery speed and execution consistency across teams. - Drove product discovery with US/EU customers, translating technical constraints and go-to-market needs into roadmap decisions that improved adoption and time-to-value. - Launched integration infrastructure upgrades that reduced redundant API usage and improved partner-side reliability, lowering integration churn across enterprise accounts. - Built repeatable processes for UAT and QA in connector releases, reducing post-launch defects and raising confidence for customer-facing deployments. - Standardized product documentation and internal handoffs to de-risk delivery and align engineering, QA and solutions teams around release readiness. - Partnered with leadership on GTM motions tied to new integrations and CAPI offerings, enabling faster sales qualification and improving conversion on inbound opportunities.
Media.net
Feb 20213 yrs 4 mosMay 2024

Mumbai Metropolitan Region

- Working on multiple ad-tech products such as Header Bidding, Prebid, Managed Prebid, Exchange Bidding and Programmatic Media Buying. - Successfully identified and resolved codebase page load issues, resulting in a notable 25% increase in loading speed. - Demonstrated strong leadership and problem-solving skills while collaborating with cross-functional teams to drive performance improvements. - Leveraged technical expertise and UX knowledge to implement solutions, enhancing the team’s productivity and overall performance. - Extracting and analysing data from SQL and in-house Hive based database system, to share useful insights with key stakeholders. - Work with internal BI tools for querying, cleaning, analysing large amount of data and building dashboards for monitoring and analysing stats and KPIs of the products. - Troubleshoot technical issues related to ad serving, discrepancies, publisher onboarding, DSP onboarding, along with setting up processes to expedite the same. - Closely working with Product Managers through initial stages of a product life-cycle and bug fixes. - Proactively identified operationally heavy processes(manual process) and automated them resulting in faster deliverable submissions.

Hrishikesh’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
claude
claude
elevenlabs
elevenlabs
hugging face
hugging face

Education

University of Mumbai

Bachelor of Engineering (BE), Computer Engineering

University of Mumbai

20164 yrs2020

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Headline

Technical Product Manager @Zintlr | AI Agent Orchestration (LangGraph & PydanticAI) & Full-Stack Builder (Claude Code) | AdTech Infra (sGTM & CAPI) | Fraud Tech & Signal Resilience Expert | 0→1 SaaS & Enterprise Infra

About

I bridge the gap between high-level strategy and production-grade architecture. I specialize in the "plumbing" of the modern AI and AdTech stacks, translating technical complexity into high-impact revenue outcomes. Current Focus: AI & Fraud Tech (ZIGRAM) I lead greenfield development of agentic ecosystems, leveraging LangGraph, PydanticAI, and MCP to build autonomous enterprise workflows. - Flagship Project: 'Fraud Fighter' — A real-time, AI-driven fraud scoring system for high-velocity transaction monitoring. The AdTech Edge: Signal Resilience (Datahash & Media.net) Expert in the "Post-Cookie" era. I architect server-side infrastructures that preserve data integrity in a privacy-first world. - Datahash: Launched a Meta-recognized CAPI Gateway, scaling a 90+ integration platform. - Media.net: Optimized global programmatic monetization and high-frequency auction logic. Technical Stack & Expertise - AI Orchestration: LangGraph, PydanticAI, Model Context Protocol (MCP), Multi-agent workflows, Durable execution. - Signal Resilience: sGTM (GCP Cloud Run), Conversions API (CAPI), EMQ Optimization, First-Party Signal Preservation. - Programmatic: OpenRTB Protocols, Header Bidding, SSP/DSP yield optimization. - Infra & Dev: Python, Full-stack JS/TS, GCP, BigQuery, Snowflake, REST/GraphQL. My goal is Production-Grade Impact. Whether I'm building a multi-agent system or salvaging AdTech signals, I focus on the engineering that drives the bottom line.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

claude

elevenlabs

hugging face

Work experience

Senior Technical Product Manager at Zintlr, Aug 2026 - Present · 3 mos, Bengaluru

Associate Product Manager at ZIGRAM, Jan 2026 - Jul 2026 · 7 mos, Gurugram, - Leading the end-to-end product lifecycle for next-gen AI application, focusing on greenfield development and autonomous agent orchestration. - Product Ownership: Building 'Fraud Fighter' from the ground up, managing everything from initial discovery and architecture to full-stack deployment. - AI Orchestration: Pioneered 'Vibe Coding' methodologies for enterprise-grade applications, utilizing Claude Code as a central development brain to accelerate GTM. - Technical Innovation: Custom-engineered the 'Antigravity Zapier Figma MCP' to bridge the gap between design, automation, and workflow orchestration.

Technical Product Manager at Datahash, May 2024 - Dec 2025 · 1 yr 8 mos, Remote, - Built the Connectors Platform end-to-end, scaling to 90+ live integrations adopted by enterprise clients and supporting a multi-million ARR customer segment across US/EU markets. - Launched Meta Conversions API Gateway and Signals, becoming a Meta-recognized solution and unlocking a high-volume pipeline of new advertiser accounts for commercial teams. - Shipped a config-driven connector UI framework that cut UI build time from days to hours, accelerating customer-facing releases and shortening integration onboarding cycles. - Built GPT-powered automation to generate structured PRDs across FE/BE/API scopes, significantly reducing planning latency and improving cross-team clarity pre-development. - Designed and rolled out an AI-driven workflow layer to eliminate manual product ops work, increasing delivery speed and execution consistency across teams. - Drove product discovery with US/EU customers, translating technical constraints and go-to-market needs into roadmap decisions that improved adoption and time-to-value. - Launched integration infrastructure upgrades that reduced redundant API usage and improved partner-side reliability, lowering integration churn across enterprise accounts. - Built repeatable processes for UAT and QA in connector releases, reducing post-launch defects and raising confidence for customer-facing deployments. - Standardized product documentation and internal handoffs to de-risk delivery and align engineering, QA and solutions teams around release readiness. - Partnered with leadership on GTM motions tied to new integrations and CAPI offerings, enabling faster sales qualification and improving conversion on inbound opportunities.

Product Analyst at Media.net, Feb 2021 - May 2024 · 3 yrs 4 mos, Mumbai Metropolitan Region, - Working on multiple ad-tech products such as Header Bidding, Prebid, Managed Prebid, Exchange Bidding and Programmatic Media Buying. - Successfully identified and resolved codebase page load issues, resulting in a notable 25% increase in loading speed. - Demonstrated strong leadership and problem-solving skills while collaborating with cross-functional teams to drive performance improvements. - Leveraged technical expertise and UX knowledge to implement solutions, enhancing the team’s productivity and overall performance. - Extracting and analysing data from SQL and in-house Hive based database system, to share useful insights with key stakeholders. - Work with internal BI tools for querying, cleaning, analysing large amount of data and building dashboards for monitoring and analysing stats and KPIs of the products. - Troubleshoot technical issues related to ad serving, discrepancies, publisher onboarding, DSP onboarding, along with setting up processes to expedite the same. - Closely working with Product Managers through initial stages of a product life-cycle and bug fixes. - Proactively identified operationally heavy processes(manual process) and automated them resulting in faster deliverable submissions.

Education

Bachelor of Engineering (BE), Computer Engineering, University of Mumbai

Public links

github: https://github.com/pyhrishi