cv

MSc Chemistry

BE Computer Science

Visiting Researcher Intern

• Conducting research on molecule generation models using geometric deep learning with Prof. Smita Krishnaswamy
• Developing novel algorithms to enhance molecular design efficiency

Research Intern

• Investigating the neural mechanisms of language processing using AI models under Prof Gabriel Kreiman
• Applying advanced machine learning techniques to analyze neural data, contributing to a deeper understanding of language cognition

Research Fellow

• Developed tools for AI-aided retrosynthesis, molecule & materials discovery
• Built infrastructure to train Molecular LLMs
• Semifinalist at the Standard Industries Chemical Innovation Challenge, awarded prize money of $10,000
• Migrated models in the open-source drug discovery toolkit DeepChem from TensorFlow to PyTorch, increasing user base by 92%

Product Engineering Intern

• Developed an ASR transcription evaluation pipeline using NLP techniques
• Created a custom scoring metric for evaluating transcripts in production, enhancing accuracy
• Improved productivity of product managers by 2x through streamlined evaluation processes

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

Research Intern

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

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

• 3rd prize in ACM Goa Chapter's event PitchIt!