Hello, I'm
Sagar Panchal
Physics is the new frontier.
I engineer it by day, research it by conviction,
and chase light on weekends.
Hello, I'm
Physics is the new frontier.
I engineer it by day, research it by conviction,
and chase light on weekends.
I'm a Process Developer at Zeiss SMT GmbH, working on shipping processes for some of the world's most precise optical and mechanical components. Before that, I studied Aerospace Engineering from IIT Madras and a Bachelor's in Mechanical Engineering from Gujarat.
Beyond the day job, I'm building toward a research based mindset which is driven by the belief that as AI handles routine work, deep physics and research become the true competitive frontier.
When I'm not deep in research, I'm chasing light behind a camera, tackling trails on foot or bike, or finding my rhythm on the salsa floor.
Engineering · Research · Strategy
The spider at the center of a complex web orchestrating end to end shipping of ultra sensitive semiconductor optics from cleanroom to cleanroom. I connect contamination experts, structural designers, shock specialists, and logistics to build processes that others follow globally. No deep specialisation in any one domain; instead, a command of all of them translating requirements into cost efficient, precision solutions for the world's most advanced lithography systems.
Shaped product and business strategy for an early stage supply chain startup recognised by IIT Madras. Optimised UI/UX for the core app, designed a profit centric business model for sustainable growth, and produced marketing content that sharpened the brand's market presence.
Designed sheet metal components and mechanical systems for concrete batching plants, with a focus on structural integrity and manufacturing quality. Part of the cross functional design team for hydraulic and pneumatic circuits on self loading machinery which balancing cost efficiency with industry standards throughout.
Conducted research in aerospace engineering with a focus on computational methods, fluid dynamics, and energy systems. Published and presented work across multiple domains.
Analysed institutional data and produced survey driven articles for IIT Madras's student news body which turning raw data into stories through statistics and visualisation. Simultaneously served as RAS Executive of Research Affairs, managing finances for scholar development and advocating for research community interests with the administration.
The world is entering an era where AI handles the obvious the repetitive, the pattern based, the routine. But fundamental physics doesn't bend to prompts. The hardest, most valuable problems are still grounded in first principles which can be solved with the increasing computational power.
That's why I'm building a research based mindset that can tackle deep research in any domain. I start with what currently is engine for data centers: Solid Oxide Fuel Cells (SOFC) and predictive modelling of fuel cell life and efficiency over the time.
Target to mindset: 2–3 years
Building a bottom up physics model of SOFC operation which connecting material parameters, electrochemical behaviour, and thermal conditions to predict how a cell can be run at peak efficiency. A future phase will extend this into lifetime prediction using model generated degradation data.
As computational power scales, previously intractable problems such complex, high dimensional and nonlinear are becoming solvable. My goal is to be someone who can walk into any hard physics or engineering problem, regardless of domain, and find a path through it. The tools may change. The commitment to rigorous, first principles thinking stays the same.
Building a bottom up physics model of SOFC operation which connecting material parameters, electrochemical behaviour, and thermal conditions to predict how a cell can be run at peak efficiency.
Energy Systems ModellingThis study presents a genetic algorithm based framework to minimize UAV wing mass by simultaneously optimizing aerodynamic shape and structural thickness. Using Vortex Lattice Method and Finite Element Analysis, two material configurations aluminum and a hybrid aluminum/Nylon design were evaluated. Results confirm that multidisciplinary optimization outperforms classical sequential design for UAV wing development.
Multi Disciplinary Optimization FEA Vortex Lattice Method Genetic Algorithm (GA) Multi Section Wing
Whether it's research, a collaboration, or just a conversation about physics, AI, or dance, I'm always open.
sgrp97@gmail.com