Experience

BinIt

• United States
• Software Development
• 1 - 100 Employee

• Director

  • Mar 2022 - Present

  Co-founder and director at BinIt, an AI and software initiative focused on developing tech to revolutionize waste segregation as we know it

• Co-Founder

  • Sep 2018 - Mar 2022



Columbia's Mortimer B. Zuckerman Mind Brain and Behavior Institute

• 100 - 200 Employee

• Researcher

  • Apr 2022 - Sep 2022

  Built biologically plausible models of continual learning and memory consolidation using graphical models and temporal difference learning. Built biologically plausible models of continual learning and memory consolidation using graphical models and temporal difference learning.



Columbia's Mortimer B. Zuckerman Mind Brain and Behavior Institute

• 100 - 200 Employee

• Researcher

  • Sep 2021 - Jan 2022

  Worked on deep RL algorithms that decompose the reward signal to accelerate learning Worked on deep RL algorithms that decompose the reward signal to accelerate learning



Columbia University

• United States
• Higher Education
• 700 & Above Employee

• Student Researcher

  • Jul 2021 - Aug 2021

  Worked on Mathematically modelling miner-blockchain interactions in proof-of-work blockchains. Further designed a simulator that tested the robustness of blockchain based systems against deviant mining attacks Worked on Mathematically modelling miner-blockchain interactions in proof-of-work blockchains. Further designed a simulator that tested the robustness of blockchain based systems against deviant mining attacks



Columbia University

• United States
• Higher Education
• 700 & Above Employee

• Independent Researcher

  • Jan 2021 - May 2021

  Studied a theoretical unsupervised learning problem to do sample-complexity analysis. Worked on developing a metric learning method using the interactive split-merge framework developed by Prof. Avrim Blum Studied a theoretical unsupervised learning problem to do sample-complexity analysis. Worked on developing a metric learning method using the interactive split-merge framework developed by Prof. Avrim Blum



Memorial Sloan Kettering Cancer Center

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Student Research Assistant

  • Jun 2020 - Jul 2020

  Contributed to a Precision Oncology project called dryclean - a signal processing algorithm that learns biological and technical noise in read-depth data and reduces the noise in signal for tumor samples, thus enhancing CNA/CNV detection, which is imperative for personalised cancer treatments. I worked on code reproducibility. Program was cut short due to Covid crisis. Contributed to a Precision Oncology project called dryclean - a signal processing algorithm that learns biological and technical noise in read-depth data and reduces the noise in signal for tumor samples, thus enhancing CNA/CNV detection, which is imperative for personalised cancer treatments. I worked on code reproducibility. Program was cut short due to Covid crisis.



Michigan State University

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Student Researcher

  • May 2019 - Jul 2019

  Completed iACRES, a computational research training program. Placed into Shiu Lab to develop and use deep learning, specifically attention based transformer models to analyze genomic data and predict gene expression under environmental stress. Presented work at the MidSURE Symposium Completed iACRES, a computational research training program. Placed into Shiu Lab to develop and use deep learning, specifically attention based transformer models to analyze genomic data and predict gene expression under environmental stress. Presented work at the MidSURE Symposium



The Summer Science Program

• United States
• Education Management
• 1 - 100 Employee

• Student Researcher

  • Jun 2017 - Aug 2017

  Worked on a mentored research project with a team to design a fungal enzyme inhibitor with Wet Lab techniques as well as Computational Modelling and Simulation software. Extensively used Bioinformatics techniques and successfully published a paper. Worked on a mentored research project with a team to design a fungal enzyme inhibitor with Wet Lab techniques as well as Computational Modelling and Simulation software. Extensively used Bioinformatics techniques and successfully published a paper.