news

Jan 1, 2026 Our paper “DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning” has been accepted at Nature Scientific Reports! 🎉
Jan 1, 2026 “ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models” has been accepted at Royal Society of Chemistry’s Digital Discovery!
Aug 1, 2025 Started as an AI Research Scientist at MStack AI, working on Chemistry-first AI models for molecule synthesis and chemical supply chains! 🚀
Jun 1, 2025 Our paper “DeepChem-Variant: A Modular Open Source Framework for Genomic Variant Calling” has been accepted at the Championing Open-source DEvelopment in ML Workshop @ ICML 2025!
May 1, 2025 Serving as a Google Summer of Code Mentor for DeepChem for the second year! Mentoring projects on polymer generative pipelines and model migration.
Dec 1, 2024 🏆 Won the Standard Industries Chemical Innovation Challenge with a prize of $100,000 for our work on DeepRetro!
Oct 11, 2024 Our work “Open-Source Molecular Processing Pipeline for Generating Molecules” has been accepted at Machine Learning and the Physical Sciences workshop happening at NeurIPS 2024
Jun 21, 2024 I have joined Krishnaswamy Lab at Yale University as a Visiting Researcher Intern. I will be working on Molecular Generation, Graph signal processing and Deep Learning.
May 27, 2024 I have joined Sprinklr as a Product Engineering Intern in 2024. I will be working with the Voice team in the Machine Learning department. I am really excited to work with them!
Apr 13, 2024 Won third prize in ACM Goa Chapter’s event PitchIt! organized at BITS Goa for my research presentation. You can find the slides here
Jan 20, 2024 I will be a TA for the course “BITS F464 - Machine Learning” under Prof. Aditya Challa and Prof. Ashwin Srinivasan this semester. (You can check out our labs here)
Jan 1, 2024 I have joined Kreiman Lab at Harvard Medical School as a Research Intern. I will be working with Prof. Gabriel Kreiman on Computational Neuroscience, Deep Learning and Natural Language Processing.
Dec 10, 2023 My paper “Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing” got accepted at AI2SE workshop at AAAI 24
Aug 15, 2023 Started working at APPCAIR as a student researcher!
Aug 15, 2023 I will be an instructor for the CTE course “Intro to ML/DL” with Karan and Tejas, this semester.
Jul 1, 2023 Only one from our batch to get inducted into SAiDL!
Jun 1, 2023 I have joined Deep Forest Sciences as an Intern. I will be working on Deepchem.
Jun 1, 2022 I have joined Skan.ai as a Data Science Intern.
Jun 1, 2022 I have joined CEERI Chennai as an Intern. I will be working on rPPG on resource constrained devices.