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MSc Chemistry

BE Computer Science

Intern

• Contributed to open-source drug discovery toolkit - Deepchem
• Migrated models to PyTorch, boosting user base by 92%
• Building Tools for AI aided Drug Discovery

Student Researcher

• Drug Discovery
  • Examining the usage of Large Language Models to generate and synthesize novel molecules for drug discovery
• Natural Language Processing
  • Surveyed the usage of Large Language Models to generate questions and answers
• Bioinformatics
  • Surveyed the usage of BERT and Transformer based architectures to predict Protein Residue binding locations
  • Devised deep learning methods to Predict Protein Residue binding

Research Intern

• Published a Paper Titled "Speech to Equation Conversion using a PoE Tagger"
• Built a Novel architecture to deal with variability in the way math equations are spoken

Data Science Intern

• Explored and implemented Data anonymization techniques using Machine Learning
• Developed AI/ML pipeline for real time data anonymization for process mining resulting in 30% performance improvement

Summer Intern

• Remote health workers lacked offline heart attack prediction tools.
• Developed an AI app for smartphones , working without internet , boosting timely interventions

Research Intern

• Optimised Algorithmic Trading App to identify arbitrage opportunities to do a round trip trading with different currencies from 30min to 2sec

Intern

• Worked with Cisco and a group of 5 people to build Solan
• A web application that aims to promote learning by crowdsourcing the process of making question banks.

Deepchem

• Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing

• Published in 3rd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE)

Speech to Equation Conversion using a PoE Tagger

• Published in IEEE 7th International conference for Convergence in Technology (I2CT), 2022