Sep 2020 – Aug 2023 · 2 yrs 11 mos · Bengaluru, Karnataka, India · On-site

• Foundational Research in ML in Cognition, Behavioural Modelling and Neuroscience

Jul 2019 – Sep 2020 · 1 yr 2 mos · Gurgaon, India

• Low Latency C++ Trading Software Developer

Jan 2019 – May 2019 · 4 mos

• TA for the Graduate course : Introduction to Quantum Computing in the Dept of Computer Science and Engineering at IIT Delhi under Prof. Ragesh Jaiswal.
• Helping run the course, create, supervise and grade assignments and exam papers.

Aug 2018 – Jul 2019 · 11 mos

• Analyzed neural nets that are structurally biologically more plausible and replicate human behaviour.
• Compared various recurrent models like LSTMs, RNNs against human performance to better understand cognition on high level tasks like learning subject-verb agreement.
• Showed that vanilla RNNs are significantly inferior to LSTMs on tasks like learning grammaticality.
• Proposed a new model termed Decay RNN which is more biologically plausible and performs almost at par with LSTMs.
• Short paper accepted at the Sixth Annual Conference for Cognitive Science (ACCS) 2019.

Jul 2018 – Nov 2018 · 4 mos

• TA for the Undergrad course Artificial Intelligence (COL333) in the Dept of Computer Science and Engineering at IIT Delhi.
• Helping run the course, create, supervise and grade assignments and exam papers.

Jan 2018 – May 2018 · 4 mos · Computer Science and Engineering Department

• Undergraduate TA for the course Introduction to Parallel Computing (COL380) in the Dept of Computer Science and Engineering at IIT Delhi.
• Helping run the course, supervise and grade assignments and exam papers.

Aug 2017 – Nov 2017 · 3 mos · Computer Science and Engineering Department

• Undergraduate TA for the course Digital Logic and Deisgn (COL215) in the Dept of Computer Science and Engineering at IIT Delhi.
• Helping run the course, supervise and grade weekly lab sessions.

May 2018 – Aug 2018 · 3 mos · Mountain View, California

• Working in Google Maps (for Android Auto) to create a configurable pipeline for generating videos mimicking commercial grade vehicle cameras from Street View data at a large scale using Flume.
• Worked in Google Assistant for Android Auto to enable voice controlled Navigational features.

Aug 2017 – Oct 2017 · 2 mos · IIT Delhi

• Undergraduate TA for the MOOC course: Parallel Programing using OpenMP on NPTEL. The only TA for over 2500 students registered for the course.
• Helping run the MOOC course (with over 2500 students) and maintaining the coursework and forum.
• Evaluating assignments by automatically running and grading submissions on a cluster.

May 2017 – Jul 2017 · 2 mos · Mountain View, California

• Interned in the Fiber Ads Team in MTV, CA office.
• Built a system to filter false on call escalations and remove noise from feedback system and monitoring.
• Improved the ad serving system to reduce loss of ad impressions.
• Worked with external (to Google Fiber) API’s, DFP (Ad server), Spanner(large scale database) and a pipeline based task processing system.
• Improved maintainability of the system with direct revenue impact.
• Implemented functionality to improve Google Fiber’s partners’ experience.

Oct 2016 – Dec 2016 · 2 mos · Stockholm, Sweden

• Researching and creating alphas (trading programs) for low and medium frequency trading.

Aug 2016 – Dec 2016 · 4 mos · Stockholm, Sweden

May 2016 – Jan 2017 · 8 mos · IIT Delhi

• Parallelized a Dynamic Verification Engine (Inspect) that verifies parallel programs for correctness.
• Parallelized the dynamic partial order reduction algorithm using parallel depth first search algorithm.
• Used MPI and concepts of workload sharing to achieve an efficient optimization for the original version.

May 2015 – Dec 2015 · 7 mos · New Delhi, India

• App Development, Integration of features, feature designing and leading the technical team.
• Developing the Android application SafelyHome for automatic accident detection using mobile sensor data and alert emergency services and close ones. Also, the app provided roadside assitance for vehicle breakdown.