Intake // S-00
I'm a chemical engineering student who builds and validates process simulations, from pharma scale-up to AI-driven flowsheet design.
I like taking a process apart until I understand why it behaves the way it does, then building something that proves it: sizing a reactor from scratch, tracing a fouling problem back to its dollar cost, or getting an AI model to run a real chemical process simulator on its own.
Most of my experience comes from two pharma process engineering internships, where I modeled utility systems, chased down yield losses, and reviewed batch records on the plant floor. Outside of that, I build AI tools for chemical engineering and do computational research predicting enzyme kinetics from protein sequence at Penn State. I like problems that sit at that intersection: real chemistry, real data, and code that makes both move faster.
Education
The Pennsylvania State University, College of Engineering
Aug 2022 – Dec 2026Bachelor of Science, Chemical Engineering · University Park, PA
Dean's List: Spring 2026, Spring 2025
Experience
Undergraduate Research Assistant, Data Science (Protein Modeling)
The Pennsylvania State University · University Park, PA
Predicting how single point mutations shift an enzyme's kinetic parameters (Km, kcat) from sequence alone. Benchmarked 5 embedding strategies over ESM2, lifting held-out Spearman correlation from 0.43 to 0.67.
R&D Process Engineering Intern
Aavis Pharmaceuticals · Atlanta, GA
Modeled the process-air system serving granulation and coating in Aspen Plus across 5 scale-up scenarios, cutting projected utility use 10%. Isolated 4 root causes of yield deviation across 50+ runs, raising batch yield 11%.
Manufacturing & Quality Analytics Intern
Ratnatris Pharmaceuticals · Ahmedabad, India
Reviewed batch records across 5 product lines and ran 20+ in-process and final-product QA/QC checks, turning scattered logs into traceable Excel records with SPC monitoring. Flagged 10+ deviations, cutting batch rejection 15%.
Projects
AI-Driven Process Simulation: Claude–DWSIM MCP Server
DWSIM · MCP · Python
An MCP server over DWSIM's .NET API with 26 structured tools, letting a language model build flowsheets and run the solver directly. Validated on a 46-unit maleic anhydride plant, where it caught a thermodynamic failure that had converged silently.
Batch Reactor Design & Process Safety Analysis
Python · Reaction Kinetics · MTSR
Sized a 310 L paracetamol batch reactor, then ran a cooling-failure analysis showing single-shot charging drives the batch past its boiling point. Redesigned to semi-batch dosing at 29.2 mol/min, holding a 5°C margin with 2.1x kinetic headroom.
Crude Oil Heat Exchanger Fouling Case Study
Python · TEMA · Techno-Economic Analysis
Modeled how TEMA fouling cuts the heat-transfer coefficient from 485 to 350 W/m²K across a 15-exchanger crude preheat train, quantifying a 28% loss of recoverable duty and translating it into $2.7M/yr of excess furnace fuel.
Bioethanol Recovery & Dehydration: A BioSTEAM Techno-Economic Model
BioSTEAM · Python · Techno-Economic Analysis
An 8-unit fuel-ethanol recovery train in BioSTEAM with a closed molecular-sieve recycle loop, breaking through the ethanol-water azeotrope to 98.4 wt% purity, plus a full TEA solving a $0.302/kg minimum selling price.