- Utilized sequence-based Monte Carlo simulations to design optimized peptides and applied ML models for phase separation predictions, deploying them on Google Colab.- Fine-tuned transformer models (GPT-2, LLaMA) to predict phase separation in IDPs, outperforming existing biophysical predictors with applications in drug discovery.- Exploring the influence of multi-domain proteins (MDPs) on liquid-liquid phase separation (LLPS) through molecular dynamics simulations.- Investigating the controlled recruitment of particles into biomolecular condensates using coarse-grained simulations.- Exploring strategies for designing peptide-based drugs that target intrinsically disordered proteins (IDPs) driving phase separation dynamics.

Assisted the lead professor with recitations, clarified Process Simulation and Control concepts, and ensured accurate grading for the course.

- Developed a marketing dashboard for PepsiCo using SQL Server and Power BI, applying Linear Regression to optimize KPIs like ROI, CAC, and CLV.- Contributed to CNN-based market trend forecasting and collaborated with teams to deliver insights that supported strategic decisions.

Scale-Up Studies on production of cellulose Micro-Fibers and its Polymer Composites.o Optimized different pre-treatment methods for recovery of cellulose from Bamboo and Sorghum.o Conducted acid hydrolysis (Sulfuric acid) and Enzyme hydrolysis for conversion of cellulose to Micro-cellulose.o Optimized different counditions for Bead mill to convert cellulose to cellulose Micro-Fibers.Optimal placement of Charging and Swapping Stations for Electric Vehicles.o Designed a tailored genetic algorithm to strategically place new fixed and mobile charging stations while maintaining existing ones.o The goal was to maximize coverage and minimize the distance to the nearest charging station.

o Performing regular data entry tasks on student projects.o Providing feedback and guidance to 300+ students

Extraction of gold and copper from Waste Printed Circuit Boards (PCBs) by One-step electrolysis process.o Recovered 92.54% of copper (Cu) and 94.73% of gold (Au) from the waste Printed Circuit Board.o Determined the optimum current density, sodium chloride concentration and sulfuric acid concentration for higher recovery rate of copper and gold.o Recoverd others metals like lead (which is toxic in nature), aluminum, iron and tin, as well as other heavy metals such as cadmium and nickel.