# Arjun DCunha > Software Engineer @ Databricks | ML-Platform Location: San Francisco, California, United States Profile: https://flows.cv/arjundcunha I am a graduate student (Masters of Science) at Columbia University pursuing a specialization in Machine Learning. I hold a Bachelors of Technology degree from the Indian Institute of Technology (IIT) Hyderabad with honors in Computer Science and Engineering. My B.Tech thesis was on engagement recognition in videos for e-learning environments; focussing on crowd-sourcing mechanisms and deep learning. Keywords : Machine Learning, Computer Vision, Deep Learning ## Work Experience ### Software Engineer @ Databricks Jan 2020 – Present ### Graduate Teaching Assistant @ Columbia University in the City of New York Jan 2018 – Jan 2019 | Greater New York City Area 1) Fall 2019 : ECBM4040 Neural Networks and Deep Learning by Zoran Kostic 2) Fall 2019 : GR5242 Advanced Machine Learning by John P Cunningham 3) Spring 2019 : COMS 4771 Machine Learning by Nakul Verma 4) Fall 2018 : COMS 4995 Applied Deep Learning by Joshua B Gordon ### Intern - TensorFlow @ Google Brain Jan 2019 – Jan 2019 | Greater New York City Area ### Undergraduate Teaching Assistant @ IIT Hyderabad Jan 2016 – Jan 2018 | Hyderabad Area, India As a Teaching Assistant (TA) for the Dept. of Computer Science, my responsibilities included setting and evaluating assignments, conducting tutorials and examinations, paper grading and assisting students in their doubts. I was a TA for the following classes : 1) Deep Learning by Dr. Vineeth N Balasubramanian (Jan - Apr 2018) : This course was taken by 70+ students of IIT Hyderabad. 2) Applied Machine Learning by Dr. Vineeth N Balasubramanian (Aug - Nov 2017) : A course of about 100+ students and 30+ working industry professionals. 3) Discrete Structures by Dr. Srijith P.K. (Jan - Apr 2017) : This course was taken by 100+ students of both IIT Hyderabad and IIT Bhilai. 4) Introduction to Programming by Dr. Manohar Kaul (Aug - Nov 2016) : This course was taken by 300+ students across IIT Hyderabad and IIT Bhilai. ### SDE Intern @ Amazon Jan 2017 – Jan 2017 | Hyderabad Area, India As an intern in the Amazon Home Services : VAS - Seller Platform, I designed, implemented and tested an end-to-end pipeline “Subscription Updated Workflow” with the prime directive being robustness and operational scalability. The workflow is currently live and serving traffic from North America. ### Summer Research Intern @ The University of Tokyo Jan 2016 – Jan 2016 | Tokyo, Japan As a Sakura Science Exchange Student, I interned at the Aizawa-Yamasaki Lab, under the guidance of Prof. Aizawa where I tested an implementation of One Millisecond Face Alignment with an Ensemble of Regression Trees (Kazemi-Sullivan, CVPR2014), based on the dlib library written by Davis King. ## Education ### Masters in Computer Science Columbia University ### Bachelor of Technology - BTech in Computer Science Engineering Indian Institute of Technology Hyderabad ## Contact & Social - LinkedIn: https://linkedin.com/in/arjundc --- Source: https://flows.cv/arjundcunha JSON Resume: https://flows.cv/arjundcunha/resume.json Last updated: 2026-04-05