Deep Kotadia

Setup of Grignard Reaction - Achieved 88% yield by scaling up Grignard reagent formation and optimizing multi-step target API synthesis. - Developed process flowsheets for Grignard reagent, intermediate, & API coupling to enable efficient production. - Maintained strict anhydrous and inert reaction conditions, integrating advanced temperature and exotherm control. - Implemented safety interlocks with checklist and engineering controls to guarantee safe, moisture-free handling of Grignard reactions at scale.

Silicon Extraction from coal mining waste - Achieved 85% conversion from silicon dioxide to metallurgical grade silicon, optimizing yield and purity up to 89% for semiconductor-grade applications. - Developed process flowsheets for silicon extraction from coal mining waste and block diagrams using industry benchmarks for optimal process efficiency. - Interpreted characterization data (XRF4, XRD5, SEM, TEM) from published sources to fine-tune process parameters.

Creation of a Dataset on Catalytic Pyrolysis of PE Using Large Language Models for Machine Learning-Based Analysis - Systematically extract and curate experimental data on catalytic depolymerization of polyethylene from a large body of literature to build a standardized dataset for machine learning analysis. - Automate literature data mining using Python workflows and n8n orchestration, leveraging large language models to accelerate the extraction of experimental and catalyst parameters.

Major Project: Process Simulation of Ethyl Lactate Production in DWSIM - A Green Solvent - Simulated and optimized ethyl lactate production via reactive distillation using DWSIM, achieving 96.13% lactic acid conversion and 95.7% ethyl lactate yield. - Designed a process flowsheet integrating fermentation, reactive distillation, and product purification, resulting in an ethyl lactate production rate of 234 g/h and energy consumption of 111.41 kJ/g.