Materials & Polymer R&D professional with hands-on experience in powder coatings, monomer production, thermal analysis, optical materials and laboratory process troubleshooting.
- Scientific data analysis and engineering calculations
- Materials, polymers, coatings and monomer processes
- Process troubleshooting and technical documentation
- Python and Excel for reproducible calculations
- Introductory computational chemistry and bioinformatics coursework
- AI Laboratory Document Automation
UiPath and FastAPI automation for laboratory document analysis, specification validation and human-review routing. Demonstrates testedPASS,REVIEWandFAILworkflows with C# Coded Workflows, REST/JSON, SQLite and automated tests. - Reactor Dissolution Calculation
Parameter-driven Python model for evaluating salt dissolution in a stirred reactor using engineering correlations and scenario-based calculations. - Pneumatic Dryer Performance Calculator
Parameter-driven Python model for evaluating pneumatic tubular drying performance across a gas-velocity range. - Stirred-Vessel Heating Comparator
Parameter-driven Python model comparing theoretical heat-transfer performance for paddle, anchor and propeller impellers in a jacketed stirred vessel. - Tube-in-Tube Heat Exchanger Scaling Model
Python model converting an Excel-based tube-in-tube milk-heating calculation into a reproducible workflow with coursework validation, criteria-based flow screening and improved heat-transfer assumptions.
My work combines practical laboratory and production experience with structured analysis of experimental data, quality deviations and process conditions.
I have worked with powder coatings, biodegradable monomer production, thermal-vacuum processing, NMR, DSC, FTIR, spectrophotometry, optical coatings and infrared light-guide technologies.
Remote scientific support, materials and polymer R&D, technical documentation, engineering calculations and scientific data analysis.