Georgia Tech · Computer Science, Chemical & Biomolecular Engineering · 2028
Sumedh Kothari
Engineer building intelligent systems across software and hardware.
01
About
Georgia Tech engineering student working at the intersection of software systems, robotics, and applied research. I build tools that solve real problems — from autonomous robots to environmental modeling pipelines to full-stack automation platforms.
Focus Areas
Languages
Frameworks
Data & Research
Tools
02
Experience
Research Intern
August 2025 — PresentGeorgia Tech Renewable Bioproducts Institute — Tong Laboratory
- Applied Bayesian statistical modeling using Python and NumPy/Pandas to optimize lignin valorization reaction conditions
- Utilized NMR, SEM, and HPLC modeling data to characterize value-added chemicals from lignin breakdown
- Completed literature reviews on aromatic compound synthesis, 3D printing custom GO structures, and optimal catalyst design while collaborating on manuscript for publication
Embedded Systems Engineer
February 2026 — PresentHyTech Racing — Georgia Tech
- Designed and implemented a real-time lap tracking module in modern C++ for Georgia Tech’s Formula SAE Racing team, leveraging Protocol Buffers (Protobuf) for low-latency telemetry serialization and deterministic inter-process communication across vehicle subsystems
- Developing and deploying a YOLO-based object detection pipeline for driverless perception, enabling real-time cone detection and localization through C++ inference integration into the autonomous control stack
Team Lead — Mechanical
August 2025 — PresentChemE Cube — Georgia Tech
- Led a 5-member mechanical team overseeing end-to-end design and CAD of a 1 ft³ DAC system, resulting in a fully integrated prototype
- Designed and fabricated DAC hardware using 3D printing and CNC machining to build airflow pathways and zeolite containment
- Engineered the DAC system for a 75% ambient CO₂ reduction by optimizing contactor geometry and airflow–sorbent interaction, prepared for AIChE national conference evaluation
Researcher
August 2024 — June 2025Dressen Laboratory
- Designed and tested fluorinated Mg₂(dobpdc) metal-organic frameworks for vehicle exhaust CO₂ capture, improving capture potential by 20% and stability by 115%
- Characterized adsorption efficiency and regeneration performance using TGA, NMR, and cyclic adsorption experiments
- Presented findings at SYNOPSYS 2025
Simulation Intern
August 2024 — February 2025Hydrogen Engineering Research Consortium
- Used MATLAB and dimensionless differential equations to model species concentrations in eutrophic freshwater ecosystems
- Employed sustainability over sets calculation to determine equilibria and stability of environment
- Co-authored research paper on environmental systems modeling under UCLA faculty mentorship
03
Projects
Sustainable Farming Crop Growth Predictor
Implemented AI/ML models (MLP, linear regression, KNN, decision trees) to analyze crop growth from 30+ bacterial strain features. Optimized predictive pipeline to identify high-performing farms by soil type, achieving 160% higher accuracy over random baseline.
04
Research
Active and completed research spanning environmental systems, materials science, and computational modeling.
Bayesian Optimization for Lignin Valorization
Georgia Tech Renewable Bioproducts Institute — Tong Laboratory
Applied Bayesian statistical modeling to optimize lignin valorization reaction conditions. Integrated NMR, SEM, and HPLC modeling data for structural characterization of value-added chemicals from lignin breakdown. Collaborating on manuscript for peer-reviewed publication.
Fluorinated MOFs for CO₂ Capture
Dressen Laboratory
Designed and tested fluorinated Mg₂(dobpdc) metal-organic frameworks for vehicle exhaust CO₂ capture. Improved capture potential by 20% and stability by 115%. Characterized performance using TGA, NMR, and cyclic adsorption experiments. Presented at SYNOPSYS 2025.
Short-Chain PFAS Remediation Technologies
Independent Research
Conducted 35-page literature review assessing chemical and economic feasibility of PFAS removal techniques for environmental remediation. Collaborated with Yale's Dr. Julianne Rolf to validate research findings. Presented at the Symposium of Rising Scholars.
Freshwater Ecosystem Eutrophication Modeling
Hydrogen Engineering Research Consortium
Used MATLAB and dimensionless differential equations to model species concentrations in eutrophic freshwater ecosystems. Employed sustainability over sets calculation to determine equilibria and stability. Co-authored research paper under UCLA faculty mentorship.