Upayan Mathkari
Applied AI | GTM & Product Management | Robotics
I'm a lifelong learner and the world is my teacher. Looking to apply my AI + MechE background toward clean energy and sustainable agriculture solutions!
GTM Index
- RAPIDCANVASJOB
- AI Deployment Strategist6M
AI Deployment Strategist
RapidCanvas
• Led customer-embedded discovery across manufacturing, equipment, and CPG, architecting 0→1 AI solutions and translating ambiguous customer needs into roadmaps with KPIs and prioritized features • Partnered with cross-functional engineering (UX, data science, solution engineers) to rapidly prototype, validate, and ship bespoke AI products per client, owning Jira-driven sprint execution and stakeholder management without direct reporting authority • Shipped internal product that programmatically generated branded client-specific demos, scaling sales team output as a force multiplier
- RAPIDFIRE AIJOB
- Founding GTM Product Mgr11M
Founding GTM Product Manager
RapidFire AI
• Drove 0-to-1 product strategy at an 8-person AI infrastructure startup, defining ICP and shaping feature prioritization through user research and competitive analysis • Owned product positioning and packaging, iterating on market-facing narratives based on customer signal and win/loss patterns • Led GTM pivot from enterprise to AI-native startups, reducing sales cycles by 30% and accelerating product-market fit
- PRIMALJOB
- Co-Founder & CEO4Y 1M
Co-Founder & CEO
Primal
• Pioneered the UnChair, a new category of ergonomic furniture designed for natural movement and floor-style sitting at desk height, and bootstrapped the brand to profitability with 40+ units sold across the US • Scaled beyond product sales into a hub for mindful, grounded living, building affiliate partnerships with aligned brands alongside influencer and social media marketing
- IBMJOB
- AI Solutions Eng2Y
AI Solutions Engineer
IBM
• Orchestrating the iterative development of AI-driven MVPs, employing IBM's advanced technologies to tailor solutions across Public, Financial, and Manufacturing industries, while championing client co-creation and roadmap execution • Applied expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to foster task automation and heightened efficiency for clients, driving an agile product evolution with realized value additions of up to $1 Million/client • Facilitated workshops and training sessions for clients, demonstrating the capabilities and benefits of AI technologies, and ensuring seamless integration into existing workflows. • Developed comprehensive documentat…
- GENERAL MOTORSJOB
- Data Scientist1Y 2M
Data Scientist
General Motors
• Built data engineering pipelines in Spark to condense and transform high-speed telemetry data for increased manageability • Developed regression and RNN models to predict battery capacity degradation in electric vehicles • Identified the key mechanisms for battery degradation and quantified their impact to drive engineering improvements
- THE UNIVERSITY OF TEXAS AT AUSTINJOB
- Data Science Researcher8M
Data Science Researcher
The University of Texas at Austin
• Prototyped a digital twin for a molten salt reactor through creation of a high-fidelity, multi-physics model using Dymola • Developed multivariate time series forecasting models using LSTMs predicting accident response with an MAE of 1.25 W on power predictions
- Eng Tutor11M
Engineering Tutor
The University of Texas at Austin
- APPLIED MATERIALSJOB
- Product Management Intern4M
Product Management Intern
Applied Materials
• Pioneered development of a computer vision tool utilizing convolutional neural networks (CNN) to provide high-accuracy (>95%) quality checks on 3 critical manufacturing build processes • Created a human-in-the-loop training system using OpenCV to cut CNN training time by 70% • Collaborated with stakeholders across business units to proliferate quality check tool for entire manufacturing facility • Developed a framework for test troubleshooting automation using anomaly detection algorithms on time-series data
- SAMSUNG ELECTRONICSJOB
- Equipment Eng Intern3M
Equipment Engineering Intern
Samsung Electronics
• Spearheaded creation of SPCs and baseline metrics on a fleet of 105 MHM tools to improve interpretability of mechanical partition tests to save troubleshooting time and allow for predictive maintenance of tools • Improved reliability of particle count tests by 15% by developing new defect control standards for non-production wafers based on statistical analysis of 400 days’ worth to data in Python • Troubleshot over 20 non-scheduled preventative maintenance (NSPM) and breakdown maintenance (BM) events working alongside technicians and senior engineers on the factory floor
- YOTTA SOLARJOB
- Computational Eng Intern3M
Computational Engineering Intern
Yotta Solar
• Established 5 computational models in MATLAB and SolidWorks to evaluate the performance of newly developed passive thermal regulator for distributed solar energy storage • Facilitated 2 strategic partnerships and engaging with investors for future growth(20% YoY) and development of startup
- Job: RapidCanvas — AI Deployment Strategist · 2025-08 – 2026-02 · 6 mo — • Led customer-embedded discovery across manufacturing, equipment, and CPG, architecting 0→1 AI solutions and translating ambiguous customer needs into roadmaps with KPIs and prioritized features • Partnered with cross-functional engineering (UX, data science, solution engineers) to rapidly prototype, validate, and ship bespoke AI products per client, owning Jira-driven sprint execution and stakeholder management without direct reporting authority • Shipped internal product that programmatically generated branded client-specific demos, scaling sales team output as a force multiplier
- Job: RapidFire AI — Founding GTM Product Manager (Founding GTM) · 2024-09 – 2025-08 · 11 mo — • Drove 0-to-1 product strategy at an 8-person AI infrastructure startup, defining ICP and shaping feature prioritization through user research and competitive analysis • Owned product positioning and packaging, iterating on market-facing narratives based on customer signal and win/loss patterns • Led GTM pivot from enterprise to AI-native startups, reducing sales cycles by 30% and accelerating product-market fit
- Job: Primal — Co-Founder & CEO · 2021-01 – 2025-02 · 4y 1mo — • Pioneered the UnChair, a new category of ergonomic furniture designed for natural movement and floor-style sitting at desk height, and bootstrapped the brand to profitability with 40+ units sold across the US • Scaled beyond product sales into a hub for mindful, grounded living, building affiliate partnerships with aligned brands alongside influencer and social media marketing
- Job: IBM — AI Solutions Engineer · 2022-09 – 2024-09 · 2y — • Orchestrating the iterative development of AI-driven MVPs, employing IBM's advanced technologies to tailor solutions across Public, Financial, and Manufacturing industries, while championing client co-creation and roadmap execution • Applied expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to foster task automation and heightened efficiency for clients, driving an agile product evolution with realized value additions of up to $1 Million/client • Facilitated workshops and training sessions for clients, demonstrating the capabilities and benefits of AI technologies, and ensuring seamless integration into existing workflows. • Developed comprehensive documentat…
- Job: General Motors — Data Scientist · 2021-07 – 2022-09 · 1y 2mo — • Built data engineering pipelines in Spark to condense and transform high-speed telemetry data for increased manageability • Developed regression and RNN models to predict battery capacity degradation in electric vehicles • Identified the key mechanisms for battery degradation and quantified their impact to drive engineering improvements
- Job: The University of Texas at Austin — Data Science Researcher · 2020-09 – 2021-05 · 8 mo — • Prototyped a digital twin for a molten salt reactor through creation of a high-fidelity, multi-physics model using Dymola • Developed multivariate time series forecasting models using LSTMs predicting accident response with an MAE of 1.25 W on power predictions
- Job: Applied Materials — Product Management Intern · 2020-05 – 2020-09 · 4 mo — • Pioneered development of a computer vision tool utilizing convolutional neural networks (CNN) to provide high-accuracy (>95%) quality checks on 3 critical manufacturing build processes • Created a human-in-the-loop training system using OpenCV to cut CNN training time by 70% • Collaborated with stakeholders across business units to proliferate quality check tool for entire manufacturing facility • Developed a framework for test troubleshooting automation using anomaly detection algorithms on time-series data
- Job: Samsung Electronics — Equipment Engineering Intern · 2019-05 – 2019-08 · 3 mo — • Spearheaded creation of SPCs and baseline metrics on a fleet of 105 MHM tools to improve interpretability of mechanical partition tests to save troubleshooting time and allow for predictive maintenance of tools • Improved reliability of particle count tests by 15% by developing new defect control standards for non-production wafers based on statistical analysis of 400 days’ worth to data in Python • Troubleshot over 20 non-scheduled preventative maintenance (NSPM) and breakdown maintenance (BM) events working alongside technicians and senior engineers on the factory floor
- Job: Yotta Solar — Computational Engineering Intern · 2018-06 – 2018-09 · 3 mo — • Established 5 computational models in MATLAB and SolidWorks to evaluate the performance of newly developed passive thermal regulator for distributed solar energy storage • Facilitated 2 strategic partnerships and engaging with investors for future growth(20% YoY) and development of startup
- Job: The University of Texas at Austin — Engineering Tutor · 2018 – 2018 · 0 mo
- School: The University of Texas at Austin — Master of Science - MS, Mechanical Engineering (Robotics and Automation)
- School: The University of Texas at Austin — Bachelor of Science - BS, Mechanical Engineering
- School: Dhahran High School (ISG - Saudi Arabia)
- School: Brazoswood High School
Skills
Playbooks
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