Nov 2024 – Jun 2025 · 7 mos · Virginia, United States · Remote

• Architected a pipeline for generating synthetic iris images using Stable Diffusion 3.5, DreamBooth, and LoRA fine-tuning. Constructed an evaluation framework to assess synthetic biometric data quality and utility quantitatively.
• Created a SOTA system for anomaly detection in hyperspectral fingerprint samples.

Aug 2024 – Oct 2024 · 2 mos · New York, New York, United States

• Built a platform to live stream, transcribe, and analyze radio news using LLMs (Gemini, Mistral, WhisperX).
• Developed a full-stack web app with seamless user interaction and data insights (React, Django, PostgreSQL).

Sep 2023 – May 2024 · 8 mos · New York, New York, United States

• Course: CS-GY 6953 / ECE-GY 7123 - Deep Learning
• CS-GY 6923 - Machine Learning
• Assisted faculty in delivering an advanced deep learning and machine learning course by providing academic guidance, grading assignments, and fostering a collaborative learning environment.
• Guided students in understanding complex deep learning concepts through hands-on projects.

Jun 2023 – Aug 2023 · 2 mos · New York, New York, United States

• Member of the business analytics team using SQL Server, MS Access, and MS SSIS to navigate sales data, build market research code, troubleshoot analytical errors, and create informative reports.
• Optimized data entry and validation procedures to reduce errors by 60% and decrease program run-time by 20%.

Jan 2022 – Jun 2022 · 5 mos · Pune, Maharashtra, India

• Member of the sensitive data detection team working on developing the Request History Application for sensitive data scanning and delivery.
• Debugged issues and maintained the application across UBS worldwide, improving application stability and uptime by 20% over 6 months.
• Developed using React, TypeScript, MaterialUI, node.js, express.js, and Jira.

Jun 2021 – Aug 2021 · 2 mos · Pune, Maharashtra, India

• Member of the core automation team, working on the full stack development of the device management and exchange platform.
• Engineered and implemented the platform, optimizing device usage efficiency by 45% and reducing device downtime by 75%.
• Developed using React, node.js, and MySQL.
• Due to the platform's success, the platform was expanded to other UBS divisions worldwide. Received offer for a 6-month internship and full-time employment.

Mar 2021 – Jun 2022 · 1 yr 3 mos · Manipal

• Spearheaded a natural language processing research project titled "Sentiment Classification of English and Hindi Music Lyrics Using Supervised Machine Learning Algorithms" in association with the Department of Information & Communication Technology at MIT, Manipal.
• Leveraged supervised machine learning classification models in Python and achieved 74.8% accuracy for Hindi and 67.15% for English music.
• Presented and published at ASIANCON 2022.

Jan 2021 – Apr 2022 · 1 yr 3 mos · Manipal

• Worked with the Department of Computer Application at MIT, Manipal, on a paper titled "Disguise Face Recognition Using EfficientNet Deep Learning."
• Developed an EfficientNet model that achieved a 93.9% accuracy rate in detecting and classifying disguised faces, outperforming competing models by 5%.
• Presented in the main session of ICHCSC 2022 and won the best paper award.

Oct 2020 – Oct 2021 · 1 yr · Padua, Veneto, Italy

• Audited a course on game theory.
• Worked on a paper titled "Adversarial Jamming and Catching Games over AWGN Channels with Mobile Players" that conducted wireless jamming game experiments by analyzing the wireless medium and interference characteristics and identified optimal game outcomes.
• Presented and then published the paper in the main session of WiMob 2021.