Sep 2023 – Present · 2 yrs 8 mos · Seattle, Washington, United States · On-site

• Advised by Prof. Lucy Wang at the Language Accessibility Research Lab in the Information School

Jul 2021 – Jun 2023 · 1 yr 11 mos · Bengaluru, Karnataka, India

• Developed a system for making printed content accessible to those with vision impairment, leveraging state-of-the-art computer vision models to alleviate pressing challenges identified from user study and iterative feedback.
• Studying the potential of smartphone applications to develop healthy eye habits for preventing digital
• strain. The developed system tracks eye parameters, such as eye blink rate, and provide actionable feedback based on them.

Jan 2021 – Jun 2021 · 5 mos · Singapore

• Implemented prototype based classification model for malware classification using static, behavioral and
• memory stats from limon sandbox along with hardware features to incorporate side-channel attacks.

Aug 2020 – Jun 2021 · 10 mos

Aug 2019 – Aug 2020 · 1 yr

Jul 2018 – Jul 2019 · 1 yr

Jun 2020 – Jul 2020 · 1 mo · Bengaluru, Karnataka, India

• Implemented Spark jobs that aggregated API metrics from a service performance platform and generated
• call tree data in order to provide useful insights to software developers.

May 2020 – Aug 2020 · 3 mos

• Reduced the number of global mutable states from OCaml compiler codebase by identifying parts of the
• compiler that use mutable states and also proposing refactoring changes to fix those issues.

Apr 2020 – Jun 2020 · 2 mos · Hyderabad, Telangana, India

• Designed and implemented an AI-powered Slack bot to improve the efficiency of the Helpdesk team in
• answering frequently asked questions. Created a centralized FAQ repository across various help channels
• for easy access to essential information.

Sep 2019 – Dec 2019 · 3 mos · Delhi, India

• Worked on conventional 3D-CNN and Siamese neural network to learn effective feature representations
• from videos of human gait with distance metric learning for human identification.

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India

• Implemented an end-to-end solution for generating triplets (speaker, persona category and value) from
• real time conversation to make voice assistants personalized for daily use.

Dec 2018 – Feb 2019 · 2 mos · Gurugram, Haryana, India

• Conducted a research project on integrating biometric (eye) based liveness detection into the company’s
• product for customer verification during the purchase of a new SIM card.

Sep 2018 – Dec 2018 · 3 mos · Delhi, India · On-site

• Worked on developing a robust system for the classification of traffic signs in real-time using deep neural
• networks and achieved an accuracy of around 97.6%, comparable to state-of-the-art architectures.

Jul 2018 – Sep 2018 · 2 mos

• Developed an android application to invest in Mutual Funds in India. Implemented REST API based application, client server request transfer secure hashed fingerprint login system.