Systems Architect & AI Specialist bridging the gap between heavy industry and intelligence.
I am working on decarbonizing the heavy-duty industry at Cummins Inc. and pursuing an MEng at Cornell University. I architect the intelligence layer where physics meets autonomous control.
Ever since I watched planes lift off and robots move with purpose, I knew I wanted to work on machines that think. Not just operate them, but make them adaptive, intelligent, aware of the humans they serve. That childhood wonder never faded—it evolved into a technical mission.
My goal is to build systems that make clean power and intelligent machines accessible to everyone. Systems that do not just work in labs but survive 500-ton mining trucks in the Australian outback. Systems that are reliable enough to bet lives on, autonomous enough to scale globally, and sophisticated enough to tackle challenges we have not yet imagined.
That's why I'm building toward founding a company to compress this vision into something that scales beyond me. An organization that keeps moving the world's energy and automation stack forward, even after I'm gone.
"I can't stand the idea of dying having only optimized someone else's system."
Every design is a balance. Performance vs cost. Complexity vs maintainability. Understanding the entire system to make conscious choices.
Technical excellence must translate to business value. If you can't measure it, you can't improve it. $30M+ in savings proves this works.
From SCDF ambulance tracking to Cummins DtV platform—build, measure, learn, scale. Speed matters, but so does getting it right.
Cornell University · Ithaca, NY (Remote)
CurrentPart-time MEng sponsored by Cummins Inc. · GPA: 4.3/4.0
Cummins Inc. · Indianapolis, IN
2nd PromotionProduct Owner for DtV platform, AI strategy leadership, advanced simulation.
Current Focus: Building the bridge between traditional power generation and autonomous control, pushing boundaries of industrial AI.
Cummins Inc. · Indianapolis, IN
1st PromotionDesign-to-Value optimization and hybrid controls development.
VP Recognition: Earned executive-level recognition for unlocking $30M+ in business value across 8 global programs.
Cummins Inc. · Indianapolis, IN
Started my journey in heavy industry, quickly establishing a reputation for delivering high-impact projects that align technical excellence with business strategy. Built cross-functional partnerships with China engineering teams and drove early AI integration initiatives.
Cummins Inc. · Indianapolis, IN
Requirements engineering and diagnostics for marine/industrial diesel platforms.
Embry-Riddle Aeronautical University · Daytona Beach, FL
Minors: Systems Engineering & Applied Mathematics · GPA: 3.64/4.0
Collins Aerospace · Cedar Rapids, IA
DO-178C flight-deck software development for government programs.
Singapore Civil Defence Force
National Service as Section Commander (Sergeant), leading fire and rescue operations. Developed the ambulance tracking system using computer vision, improving response times by 30%+. Nominated for Best Commander of the Year (2016).
Foundation: This experience shaped my leadership philosophy and sparked my entrepreneurial ambitions—the moment I realized technology could save lives at scale.
Delivering measurable impact through AI, simulation, and controls engineering.
Created a proprietary algorithm that analyzes design trade-offs and reduces complexity in products to save BOM cost and increase profit margins. Built cloud-based platform with NPV-risk analysis framework and RAG systems for automated post-processing.
Product complexity was causing significant cost erosion across New Product Development (NPD) programs.
Created a proprietary algorithm that analyzes design trade-offs with customer requirements while reducing product complexity. Built cloud-based platform with NPV-risk analysis framework and RAG systems for automated post-processing.
Asked to implement Cummins-wide, being adopted as a standard in all product development processes across the company
While tech startups grab headlines, the real AI opportunity lies in transforming traditional industries. Heavy machinery, manufacturing, and transportation are ripe for intelligent optimization.
Coming soonThe path less traveled for an engineering graduate passionate about research. How real-world constraints spark creativity in ways academic freedom sometimes cannot.
Coming soonWhat does it actually take to build a useful digital twin? Lessons from implementing physics-based simulation at industrial scale.
Coming soonAlways open to conversations about systems engineering, AI applications in industry, or opportunities to collaborate on challenging problems.