---
title: "Aditya Hegde, PhD - Senior Manager – Product Management & ML in Bengaluru | Tal"
description: "Meet Aditya Hegde, PhD, Senior Product Manager · Generative AI & Deep-Tech Systems · PhD · 2 US Patents based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links including github and aadih88.github.io."
image: "https://tal.club/meet/aditya-hegde/share-image"
---

# Aditya Hegde, PhD on Tal

## Headline

Senior Product Manager · Generative AI &amp; Deep\-Tech Systems · PhD · 2 US Patents

## About

I am a Product Manager with a PhD in Aerospace Engineering, specializing in bridging the gap between deep\-tech research and production\-ready software\. Currently, I lead the development of a Generative AI\-powered SaaS platform in the pharma competitive intelligence space, managing the full lifecycle from customer requirements and PRDs to technical roadmaps and delivery\. With a background that spans autonomous drones and automotive systems, I specialize in translating complex engineering into reliable, user\-centric products\. My goal is to apply "Systems Thinking" to drive measurable business value through innovation and rigorous product ownership\.

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

cursor

gemini

LlamaIndex

## Work experience

Senior Manager – Product Management &amp; ML at DataZymes, Apr 2024 \- Jul 2026 · 2 y 3 mo, Bengaluru, Leading the end\-to\-end product development of a GenAI market intelligence SaaS for pharma — from customer requirements and roadmap through to delivery of an Agentic RAG system that cuts analyst research time from days to hours\. ▪ Defined product vision and drove delivery of an Agentic RAG platform \(GCP/Gemini\) — chosen over simple RAG because user queries spanned multi\-modal, multi\-source data requiring multi\-step reasoning\. ▪ Reduced manual analyst curation by 30% through automated AI tagging and summarization; led cross\-functional sprints translating business requirements into technical architecture and shipped features\. ▪ Owned full product lifecycle — customer discovery, PRD/BRD, roadmap prioritisation, sprint planning, and stakeholder alignment across engineering and commercial teams\.

Associate \- Decision Sciences at DataZymes, Jan 2024 \- Apr 2024 · 4 mos, Identified operational bottlenecks across HR and resource management workflows and shipped automated solutions — reducing a 2\-day manual process to 5 minutes while building hands\-on GenAI expertise that directly enabled the transition into full\-scale AI product management\. ▪ Diagnosed inefficiencies in manual HR document generation; built an automation tool that cut process lead time from 2 days to 5 minutes — applied the same requirement\-gathering and delivery approach used in external product work\. ▪ Built Streamlit dashboards providing real\-time visibility into attendance, leave, and project\-hour allocations — translating HR pain points into technical requirements through direct stakeholder collaboration\.

Lead Engineer at General Aeronautics Pvt Ltd, Dec 2022 \- Nov 2023 · 1 yr, Bengaluru, Led the GNC subsystem for two autonomous drone product lines — Krishak V2 and Krishak\-1i — through full development and DGCA Type Certification, directing a team of 11 engineers across flight control, sensor integration, and obstacle avoidance\. ▪ Achieved 100% DGCA Type Certification for both drone product lines — overseeing system documentation, test design, and sensor compliance across the full GNC subsystem\. ▪ Drove sensor architecture decisions \(radar vs\. LiDAR vs\. camera\) and directed simulation\-to\-production implementation of obstacle avoidance algorithms in ROS/Gazebo\. ▪ Led sprint planning and GNC research roadmap in partnership with the product team — translating high\-level product requirements into subsystem architecture and on\-time feature delivery\.

Senior Systems Integration Engineer at Cummins Emission Solutions Inc\., Mar 2015 \- Jul 2017 · 2 yrs 5 mos, Columbus,IN, Led systems integration for mission\-critical diesel engine features across global product launches — balancing EPA/OBD regulatory constraints with driver experience, and reducing projected vehicle downtime by 20%\. ▪ Designed a fault\-handling architecture that intelligently configured EPA\-mandated engine derate responses — reducing vehicle downtime by 20% while keeping trucks operational within regulatory bounds\. ▪ Engineered production\-line diagnostics that caught 100% of installation failures before vehicles shipped — eliminating a significant source of warranty costs and field failures\. ▪ Served as Aftertreatment OBD Subject Matter Expert — translating complex regulatory requirements into actionable engineering standards and coaching cross\-functional teams on compliance\.

Controls Engineer at Cummins Emission Solutions Inc\., Jul 2012 \- Mar 2015 · 2 yrs 9 mos, Columbus, IN, Developed mission\-critical control algorithms for high\-horsepower diesel engines across locomotive and marine programs — resulting in 2 US patents for a unified DEF injection strategy adopted across multiple engine lines\. ▪ Invented a unified DEF injection arbitration strategy across multiple engine programs — awarded 2 US patents; the architecture prioritised fault tolerance and SAE J1939 compliance across diverse hardware configurations\. ▪ Applied FMEA, Boundary Diagrams, and P\-Diagrams to ensure zero\-defect delivery for the QSK95 engine series; managed full SDLC from design through post\-release field monitoring\.

Controls Engineer Intern at Cummins Emission Solutions Inc\., Sep 2011 \- Dec 2011 · 4 mos, Columbus, IN, Gained early exposure to control systems engineering for off\-highway aftertreatment programs — developed sensor fallback strategies and validated algorithms using MATLAB/Simulink and Hardware\-in\-the\-Loop \(HIL\) testing\.

Assistant in Research at University of Michigan, May 2011 \- Aug 2011 · 4 mos, Ann Arbor, MI, Optimised a Roll Stability Controller using Pareto analysis to balance competing stability and track\-following objectives — developed and validated vehicle models in MATLAB, Simulink, and CarSim\.

## Education

Doctor of Philosophy \- PhD, Indian Institute of Science \(IISc\)

Master of Science \(M\.S\.\), Mechanical Engineering, University of Michigan

## Public links

- github: https://github\.com/aadih88
- aadih88\.github\.io: https://aadih88\.github\.io/

[View the original profile](https://tal.club/meet/aditya-hegde)

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