Jul 2024 – Aug 2025 · 1 yr 1 mo · Mumbai, Maharashtra, India · On-site

• Simply, generating aplha.

Dec 2023 – May 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Nov 2021 – Dec 2021 · 1 mo · Stanford, California, United States · Remote

• Experimenting with machine learning models to identify people with depression from their brain’s MRI scans.

Jul 2020 – Nov 2021 · 1 yr 4 mos · Pune, Maharashtra, India · Remote

• Worked on projects in AI with the potential to impact masses in the fields of human healthcare and social good.

May 2020 – Nov 2023 · 3 yrs 6 mos · Bengaluru, Karnataka

• Part of a team that delivers intelligence solutions to the larger organization. We help in formulating various intelligence use cases for different teams and post that we develop and maintain various Machine Learning and Artificial intelligence models.
• One of my notable projects was where I mapped customer subsidiaries to parent organizations using clustering algorithms over a knowledge graph. Corrected revenue calculations by 10% & added 30% new accounts for top 15 Microsoft partner organizations. Removed 25% of accounts erroneously linked to organizations, preventing serious legal privacy violations. As a side effect, also liked accounts to social media profiles like LinkedIn, Facebook, etc; which has the potential to reduce account vetting time.

Jun 2018 – Apr 2020 · 1 yr 10 mos · Bengaluru Area, India

• Worked on a large-scale distributed smart search engine responsible for all external & internal search services. Designed ranking algorithms on distributed systems & added support for complex query parsing. Given PBs of Data and low latency requirement, delivered A/B testing framework and several other lightweight debug tools.

Jan 2018 – May 2018 · 4 mos · On-site

• I was a teaching assistant (TA) for Computer Programming Lab course under Professor Rupesh Nasre. My work incided designing and hosting programming assignments, and evaluating students progress.

Aug 2017 – Jan 2018 · 5 mos · On-site

• I was a teaching assistant (TA) for Computer System Design course under Professor Siva Ram Murthy. Along with designing assignments in addition to helping with and evaluating students’ progress, I personally contributed solution manual for the course text-book named “Parallel Computers: Architecture and Programming”.

May 2017 – Jul 2017 · 2 mos · Greater Pittsburgh Area

• I was a short-term research scholar at Machine Learning Department, Carnegie Mellon University to undertake a summer research project during May-July 2017. At CMU, I worked with Dr. Katerina Fragkiadaki who works mainly on Computer Vision. We worked on a geometry-aware neural network for motion estimation in videos that decomposes frame-to-frame pixel motion in terms of scene and object depth, camera motion and 3D object rotations and translations. We mainly focused on improving the object depth estimations from single monocular images using unsupervised training on Virtual kitty dataset.

May 2016 – Jul 2016 · 2 mos · Bengaluru Area, India

• Developed a Machine Learning pipeline for mining sentences loosely following an input template from the raw text (language independent) along with enriching the component dictionaries of the template using a shallow neural network. Meaning of words are inferred only from its context and hence training only uses unstructured and unlabelled text corpus along with input template with small (5-10 words) component seed dictionaries. Also given the constraints on input and seed dictionary size, the model outperformed many current techniques. Model is fast to train.