Aug 2020 – Dec 2020 · 4 mos

• Serving as a graduate teaching assistant for Computer Vision, tasked with designing and evaluating assignments and teaching key concepts.

Jun 2020 – Aug 2020 · 2 mos · Pittsburgh, Pennsylvania, United States

• My work encompassed developing joint perception-prediction models for actor behavior prediction. I designed models with fused latent sensor inputs for crossing prediction, and demonstrated through thorough quantitative and qualitative evaluation, how incorporating visual cues can improve existing crossing prediction models.

Jan 2020 – May 2020 · 4 mos

• Served as a graduate teaching assistant for Machine Learning, responsible for teaching key concepts, designing assignments and exams, and evaluating students as well.

Aug 2019 – Dec 2020 · 1 yr 4 mos

Jun 2018 – Aug 2019 · 1 yr 2 mos · Bengaluru Area, India

• Primarily worked on identifying and solving research problems to potentially improve and automate some of Adobe’s products.Worked on a wide spectrum of problems ranging from Multimodal Question Answering, Estimating video memorability to Learning contextual image embeddings.

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

• Developed an agent ‘CoLearn’ that can improve learning on E-Learning platforms by tracking the knowledge state of students, along with their hint taking behaviour.
• Published our work in EDM 2018
• Filed a patent in the U.S. Patent Office.
• Received theBest Overall Project Award for exceptional work during the internship.
• Was offered a Pre-Placement Offer for the Research Engineer Position (Given to 6/60 Interns)

Apr 2017 – Apr 2018 · 1 yr · Mumbai Area, India

• Institute Student Mentor - Responsible for guiding 12 freshmen focusing on their academic and holistic development and providing counsel
• Dept. Academic Mentor - Selected to be a part of a team of 20 mentors, each responsible for guiding 8 sophomore students academically

Apr 2016 – Mar 2017 · 11 mos · Mumbai Area, India

• Headed a team of 4 members and liaised with 130 dept. representatives to provide assistance to 4500+ students. Initiated Slow-Paced Learning and successfully conducted 80+ sessions with a cumulative attendance of 1600+.

Jul 2015 – May 2018 · 2 yrs 10 mos · Mumbai Area, India

• Acted as a Teaching Assistant for the following 4 courses, responsible for guiding students through the course, designing assignments and exams, and evaluating students:
• 1. Discrete Structures Minor under Prof. S. Akshay - Best Teaching Assistant of the Semester Award
• 2. Operating Systems under Prof. Purushottam Kulkarni.
• 3. Logic in Computer Science under Prof. Krishna Subramaniam
• 4. Discrete Structures under Prof. S. Akshay
• 5. Differential Equations under Prof. Santanu Dey

May 2016 – Jul 2016 · 2 mos · Baltimore, Maryland Area

• Research on Hyperparameter Optimisation
• Used Bayesian Optimisation to find the optimal setting for Hyperparameter.
• Applied the optimisation to real machine learning models for Personalised Healthcare

Aug 2015 – Dec 2015 · 4 mos · Mumbai Area, India

• Part of team building an electric car for the Formula Student competition held in UK