Jul 2023 – Dec 2023 · 5 mos

• Teaching Assistant for the course "COL334 - Computer Networks". Improved the learning experience for the class by holding doubt answering sessions and demos. In a team of 8 TAs, fostered a batch of 350 students.
• Instructor: Prof. Aaditeshwar Seth, Dept. of Computer Science & Engineering

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India

• Worked with the Asset & Wealth Management Division. Engineered an observability framework for the firm's premier client-facing asset management portal, which led to a 19x decrease in MTTD.
• Project has been fast-tracked to production and is now active

May 2022 – Jul 2022 · 2 mos · Montreal, Quebec, Canada

• Formalised data acquisition procedure and compiled a sEMG signal dataset comprising of 16 hand gestures. Built a practical control loop to train for artificial robotic motor movement. Fine tuned ML models (LSTM, Few Shot learning).

May 2021 – Jul 2021 · 2 mos · Seattle, United States

• Explored neural networks based methods to solve partial differential equations.
• Simulated results of a prominent 2019 paper "Tyler W. Hughes et al., Wave physics as an analog recurrent neural network". Work was curtailed due to COVID