◦ Developed and deployed a deep learning model using PyTorch, Flask for instance segmentation to detect cells ◦ Used MLFlow, Optuna and DVC to create a pipeline for incremental learning on new images ◦ Working on multiomics biomarker discovery using Explainable AI methods

Northeastern University | Jan 2023 - May 2023

Laboratory Assistant

◦ Writing C++ codes for batch testing of DE1-SOC boards ◦ Writing Python codes for batch testing of Pynq boards ◦ Provided help to undergraduate students on their Capstone projects in Embedded Systems

New England Biolabs | Jun 2022 - Sep 2022

Machine Learning Research Intern

which reduced computing time by factor of 20 ◦ Developed and deployed a Streamlit-based dashboard for monitoring data analysis pipelines ◦ Created an algorithm to determine Open Chromatin Index with 98% accuracy through images which saved organization $25K annually by reducing the need to calculate OCI through traditional methods

Khoury College of Computer Sciences | Feb 2022 - Aug 2022

Data Annotator

Annotation of Ads data containing ad text and ad images for analysis on types of ad targeting to an user using Doccano. Also helped in building classification model for tagging of ads.

IITD-AIA Foundation For Smart Manufacturing | Sep 2020 - Aug 2021

Machine Learning Engineer

Created a data ingestion and logging pipeline using MQTT, TimescaleDB in Python to collect and store sensor data ◦ Used Pytorch, Scikit-learn to create model to predict health/remaining usable life of machines which reduced maintenance cost by 50% over a year ◦ Used Streamlit to create dashboard for monitoring machine health and anomalies ◦ Built a computer vision model in PyTorch to read gauge values, deployed on GCP ◦ Hosted 5 interns in summer 2021, three of whom were later hired as full time employees ◦ Created and Taught ’Implementing Machine Learning in Industry 4.0’ with Matlab at inhouse developed MOOC platform to FSMSkills

Andromeida Maritime Solutions | Jun 2019 - Aug 2020

Senior Software Developement Engineer

◦ Implemented ORB Slam with DeepVO trained on underwater pool images for navigation with Intel Real Sense cameras on Nvidia Jetson Nano in C++ ◦ LSI Calculator: Collected pH, Turbulence and Ca+ data from Arduino to calculate the LSI in the pool Developed packages for websockets using ROSWeb to monitor current vehicle statistics ◦ Setup Gazebo Simulations to test the ROS packages ◦ Managed the robotics software engineering team and oversaw cross- functional collaboration

Andromeida Maritime Solutions | Jan 2019 - May 2019

Machine Learning Intern

N/A

Indian Institute of Technology, Kanpur | May 2018 - Aug 2018

Research Intern

Study on how a formation of unmanned aerial vehicles can be controlled when implementing a centralized control scheme and a decentralized control scheme.

My Education

Take a look at my formal education

Master of Science - MS, Electrical and Computer Engineering · (AugustNortheastern University | 2023

Bachelor of Technology - BTech, Electrical and Electronics Engineering | MathematicsShiv Nadar University | 2019

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