kshitiz@product-leadership ~ %

$ whoami

Kshitiz Dange // also goes by KD

pronunciation: "shih-thiz"

$ cat role.txt

Sr. PM, Compute & Infrastructure Platforms @ GSK

$ cat focus.txt

AI/GenAI · HPC · Platform Products · Developer Experience

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Open to: Remote Boston, MA Bay Area, CA

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About Me

I'm Kshitiz, an AI-focused Engineering and Product Leader with 10+ years architecting, launching, and scaling high-performance computing and data platforms for AI/GenAI applications. I've led cross-functional global teams of 15+, spanning Engineering, Product, and Design.

Currently at GSK, I spearhead the Onyx R&D Data Platform, bridging HPC with AI/ML workflows for researchers in computer vision, drug discovery, and LLM infrastructure. Before that: autonomous robots at Shopify / 6 River Systems, HPC for capital markets at Hyannis Port Research, and systems software at NVIDIA and Arista Networks.

My edge is translating complex technical challenges into user-valuable features, from low-level OS and drivers all the way up to product roadmaps and executive strategy.

4,000+ LinkedIn followers CMU Alumni AI / GenAI HPC Platforms
10+
years in tech
15+
people led
6
companies shipped at
const kshitiz = {
  drives: "outcomes",
  hates: "vanity metrics",
  loves: "hard problems",
  superpower: "eng ↔ biz"
};

Experience

Senior Product Manager, Compute & Infrastructure Platforms

GlaxoSmithKline (GSK) · Boston, MA
Nov 2024 – Present
HPC AI/GenAI GCP Drug Discovery LLM Infrastructure
  • Define the Onyx R&D Compute and Infrastructure Platforms roadmaps, aligning HPC products with AI/ML, Drug Discovery, and Protein Design goals.
  • Own the full PDLC from design to global launch for cloud-native solutions on GCP, including computer vision and LLM infrastructure for researchers.
  • Spearhead integration of GenAI and LLM capabilities into existing R&D products to automate discovery and data synthesis.
  • Establish OKRs and KPIs to track platform reliability, user adoption, and efficiency of AI-native research tools.
  • Manage 5 Product Managers; lead cross-team initiatives between Engineering, Data Science, and Research to sync technical specs with business milestones.

Engineering Manager

Hyannis Port Research (HPR) · Boston, MA
Jun 2023 – Oct 2024
HPC Capital Markets Global Teams TDD
  • Led 4 engineering teams building HPC applications for global capital markets, achieving trade volumes exceeding $8B/day during peak trading.
  • Oversaw the full SDLC including risk assessment, code reviews, and test-driven development.
  • Managed distributed teams across APAC time zones to deliver features to global clients in a matrix organization.

Software Development Manager

Shopify (6 River Systems) · Boston, MA
Feb 2022 – May 2023
Robotics NVIDIA Omniverse Autonomous Systems Simulation
  • Managed 5 Software and Robotics Engineers focused on OS, Perception, and Movement stacks for autonomous warehouse robots.
  • Spearheaded a software upgrade for 3,000+ robots in the field, delivering $4M in security-based cost savings.
  • Led development of a next-gen simulation environment using NVIDIA Omniverse; managed strategic vendor partnerships with NVIDIA and Balena.

Senior Engineer, Team Lead

BioSensics, LLC · Boston, MA
Jun 2019 – Feb 2022
Embedded Systems Medical Devices IoT FDA Class II
  • Led embedded systems team to launch FDA Class II exempt medical devices, reducing patient data collection time from 2 weeks to 5 minutes.
  • Increased company revenue by $350K through delivery of a dual-device stroke recovery monitoring system as part of a $1.5M grant.
  • Reduced manufacturing costs by and testing time by 10× for next-gen movement-tracking IoT devices.

Software Engineer

Arista Networks · Nashua, NH
Jun 2017 – Jun 2019
Networking C++ Python MPLS
  • Enhanced Link Aggregation (LAG) and IPv6 support for MPLS traffic, contributing to $1.3M in new customer revenue.
  • Automated critical release management tools on Unix servers, reducing issue identification time from hours to minutes.

System Software Engineer

NVIDIA · Pune, India
Jul 2013 – Jul 2015
GPU Drivers Windows C++ Build Systems
  • Developed the Driver Settings module for Windows applications; optimized the build pipeline to accelerate development cycles by .
  • Feature ships in production today as part of NVIDIA GeForce Now, GeForce Experience, and NVIDIA App.

Skills

Product & Leadership

Product Roadmap & Strategy Agile / Scrum OKRs & KPIs Stakeholder Management Vendor Management Cross-functional Leadership Team Building & Mentorship Go-to-Market Release Planning Executive Communication

Cloud & Infrastructure

Google Cloud Platform (GCP) AWS HPC / Slurm Vertex AI Docker CI/CD Pipelines Batch Computing LLM Infrastructure

Engineering

Python C / C++ TypeScript Go Java OS Development Device Drivers Embedded Systems Zephyr RTOS / FreeRTOS NVIDIA Omniverse

Notable Projects

Engineering roots that inform product thinking

Work Projects

🧬

Onyx R&D Data Platform

Led product strategy for GSK's HPC + AI/ML research platform supporting computer vision, drug discovery, protein design, and LLM infrastructure for thousands of scientists globally.

HPC AI/GenAI GCP Drug Discovery LLM Infrastructure
🤖

Autonomous Robot Fleet Upgrade

Orchestrated a field software upgrade across 3,000+ warehouse robots at Shopify / 6 River Systems, delivering $4M in security-based cost savings with zero operational downtime.

Robotics Embedded Systems Fleet Management OTA Updates
🌐

NVIDIA Omniverse Simulation

Led development of a next-gen warehouse simulation environment using NVIDIA Omniverse at Shopify / 6 River Systems, enabling faster robot development cycles and safer testing at scale.

NVIDIA Omniverse Simulation Autonomous Systems Vendor Management
🏥

FDA Class II Medical Device Platform

Led embedded systems team to ship an FDA Class II exempt clinical platform at BioSensics, reducing patient data collection from 2 weeks to 5 minutes. Cut manufacturing costs by 3x.

Embedded Systems FDA Class II IoT Medical Devices
🧠

Stroke Recovery Monitoring System

Delivered a dual-device stroke recovery monitoring system as part of a $1.5M NIH grant, generating $350K in new revenue for BioSensics and enabling remote patient monitoring.

Wearables Clinical Research NIH Grant Remote Monitoring

Academic & Personal

☁️

Cloud Filesystem

Hybrid storage system with deduplication and intelligent archiving. Built to handle large-scale data management challenges.

Cloud Storage Deduplication
⛓️

Distributed Consensus (Paxos)

Full implementation of the Paxos consensus algorithm for fault-tolerant distributed systems coordination.

Distributed Systems Consensus Fault Tolerance

Bitcoin Miner

Implemented a functional Bitcoin mining engine, exploring cryptographic proof-of-work at the protocol level.

Cryptography Blockchain Systems
🐦

Twitter-like Service

Designed and built a scalable microblogging platform from the ground up with distributed architecture.

Distributed Scalability Backend
🖥️

IA32 Kernel

Built an x86 operating system kernel from scratch: thread libraries, interrupt handling, and device drivers included.

OS x86 Systems Programming

Memory Allocator

Dynamic memory allocator achieving 100% performance score, optimized for throughput and fragmentation.

Performance C Memory Management

Education

🎓

Carnegie Mellon University

MS in Information Networking

2015 – 2017 · Pittsburgh, PA

Advanced coursework in Artificial Intelligence, Cloud Computing, Distributed Systems, Operating Systems Design, Neural Networks, Computer Security, and Telecommunications.

🏛️

University of Pune

BS in Computer Engineering

2009 – 2013 · Pune, India

Certifications & Honors

📜
Optimal Product Management Productside · Nov 2024
🏅
Merit Certificate: Science 100/100 · Top 0.01% in India · 2007
🥉
3rd Rank, National Talent Search Exam 2006

Let's Connect

Open to Product Leadership roles: Remote, Boston, or Bay Area

I'm always happy to talk about product strategy, platform challenges, AI tooling, or the next big idea. Reach out; the best conversations start with a simple hello.

$ ping kshitiz --purpose "new opportunity"

PING kdange.me...

64 bytes from kshitiz: response_time=fast

Preferred locations: Remote | Boston | Bay Area

Timezone: ET (flexible)

 

Schedule a 30-min Chat