# Arth Dharaskar > Staff Machine Learning Engineer @ Ikigai Location: Greater Boston, United States Profile: https://flows.cv/arthdharaskar Helping folks find their Ikigai! :) ## Work Experience ### Staff Machine Learning Engineer @ Ikigai Jan 2024 – Present | Cambridge, Massachusetts, United States ### Senior Machine Learning Engineer 1 @ Ikigai Jan 2023 – Jan 2024 | Cambridge, Massachusetts, United States ### Machine Learning Team Lead @ Ikigai Jan 2022 – Jan 2024 | Cambridge, Massachusetts, United States ### Applied Data Scientist @ Ikigai Jan 2022 – Jan 2022 ### Applied Data Scientist Intern @ Ikigai Jan 2022 – Jan 2022 | San Francisco, California, United States ### Graduate Teaching Assistant @ UC San Diego Jan 2022 – Jan 2022 | San Diego, California, United States ECE 143 - Programming for Data Analysis (Wi '22) o Hosted Office hours for students o Handled course logistics (Grading projects, updating Piazza, guiding students in Homeworks/project ideas) with one other TAs (Course consisted of 98 students) ### Graduate Teaching Assistant @ UC San Diego Jan 2021 – Jan 2021 | San Diego, California, United States ECE 143 - Programming for Data Analysis (Fall '21) o Hosted Office hours for students o Handled course logistics (Grading projects, updating Piazza, guiding students in Homeworks/project ideas) with one other TAs (Course consisted of 98 students) ### Graduate Teaching Assistant @ UC San Diego Jan 2021 – Jan 2021 | San Diego, California, United States CSE 101 - Design and Analysis of Algorithms (Summer '21) o Developed and Utilized an Unit-Testing based automated testing suite for C++ and Python for Programming Assignments o Managed a team of 6 tutors to develop course material - Midterm, Finals, Video lectures, and Test cases for the programming assignments o Hosted Discussion sections and Office hours for the students ### Machine Learning Intern @ Statistical Visual Computing Lab Jan 2021 – Jan 2021 | San Diego, California, United States o Surveyed literature on Fully supervised Single/Multi View reconstruction in Single/Multi-object settings o Presented and reproduced results from Unsupervised/Weakly supervised Mesh reconstruction o Proposed suitable datasets for Autonomous Driving amenable to Explainable Actions and Sensor Fusion o Reimplemented papers like BDD-AIO and achieved 22% improvement on the F1 score of reasons by introducing novel soft attention on selections and additive fusion in feature space o Performed comprehensive analysis of data generated by custom dataset on Amazon Turk ### Graduate Teaching Assistant @ UC San Diego Jan 2021 – Jan 2021 | San Diego, California, United States ECE 143 - Programming for Data Analysis (Winter '21) o Hosted Office hours for students o Hosted a Github workshop o Handled course logistics (Grading projects, updating Piazza, guiding students in Homeworks/project ideas) with two other TAs (Course consisted of 142 students) ### Developer Student Club Lead @ Developer Student Clubs Jan 2019 – Jan 2021 o Established and Presided over Google DSC chapter @ Rutgers-Camden as part of the founding initiative for Google DSC Chapters nationwide in the United States o Developed awareness on developer technologies and soft skills through peer to peer workshops and events o Connected students at Rutgers-Camden to a platform that can help transform the local community ### Seasonal IT Intern @ Camden County Jan 2019 – Jan 2020 | New Jersey, United States o Implement a ChatBot for the IT department for FAQ resolution using Microsoft Azure (LUIS and QnA Maker) o Understand how the current intranet site and subsites are utilized by each County department o Along with the Director of Information Technology, meet with department/division heads (or their designee) and understand what information should be included in the redeveloped site o Become familiar with the SharePoint 365 environment and its development tools including workflows o Develop mockup sites for presentation to Director of Information Technology o Assist in development of rollout strategy for new intranet site o Implement rollout of beta site for end user testing and feedback o Review feedback with Director of Information Technology and make recommendations for changes ### Undergraduate Student Researcher @ Lamoureux Lab Jan 2019 – Jan 2020 | New Jersey, United States o Worked on the problem of protein-protein interaction, Fragment hotspot detection, and 2D Docking o Developed and researched various architectures for 3D Convolutions for predicting protein hotspots using multiple atomic densities o Implemented a 3D GradCam algorithm for visualization of activation regions of the trained network which showed alpha helices and beta sheets were being used for the prediction of hotspots o Worked with the implementation of Steerable and Spherical Convolutions for providing rotational invariance to 2D docking and Fragment hotspot prediction. ## Education ### Master of Science - MS in Electrical and Computer Engineering specializing in Machine Learning and Data Science UC San Diego ### Bachelor of Science - BS in Computer Science Rutgers University - Camden ### Higher Secondary Certificate in Computer Science Thakur College of Science and Commerce ## Contact & Social - LinkedIn: https://linkedin.com/in/arthdh - GitHub: https://github.com/ArthDh --- Source: https://flows.cv/arthdharaskar JSON Resume: https://flows.cv/arthdharaskar/resume.json Last updated: 2026-03-31