May 2025 – Aug 2025 · 3 mos · Ann Arbor, Michigan, United States

• made attack surface management more intelligent

Jan 2025 – May 2025 · 4 mos · Atlanta, Georgia, United States

• GTA for CS 3600: Introduction to AI

May 2023 – Jun 2024 · 1 yr 1 mo

• Spearheaded the design and implementation of an Optical Character Recognition (OCR) application, by fine-tuning the PaddleOCR framework to extract heat codes from images of axle parts.
• Elevated heat code storage accuracy by 35% through the successful deployment of the developed ML model.
• Utilized FastAPI for seamless deployment and integration of the ML model into a Flutter application.

Apr 2023 – Jul 2023 · 3 mos · Hyderabad, Telangana, India · Hybrid

• Created a comprehensive benchmark dataset spanning 40 GB, comprising approximately 400,000 images sourced from Indian Newspaper advertisements.
• Developed a Faster RCNN object detection model tailored specifically for Indian advertisements.
• This model exhibited remarkable performance in accurately detecting ads, significantly advancing object detection capabilities in the context of regional advertising.

Dec 2022 – May 2023 · 5 mos · Remote

• Instrumental in driving the success of a Turkey-based startup by spearheading the development of a Minimum Viable Product (MVP), which played a pivotal role in securing funding.
• Conceptualized, designed, and executed a deep learning model aimed at creating smart parking management systems.
• Used YOLOv5 to develop a model capable of accurately detecting both cars and empty parking spaces along the roadside.
• Led the entire lifecycle of the project, from data annotation to model development, fine-tuning and optimization.

Sep 2022 – Feb 2024 · 1 yr 5 mos

• Simulated a TB-affected population for studying the effect of behavioral interventions on the effect of TB treatment outcomes.
• Performed statistical power analysis and developed a "resimulations" framework to effectively design Randomized Controlled Trials.
• Deployed it as a FastAPI application to facilitate seamless execution of clinical trial simulations.

Sep 2022 – Nov 2022 · 2 mos · Pune, Maharashtra, India

• Implemented computer vision solutions, machine learning models, and automation scripts in Python, focusing on enhancing efficiency and accuracy in satellite data analytics.
• Developed a computer vision-based ESTAR algorithm for spatiotemporal fusion of satellite images, enhancing resolution and temporal continuity for geospatial analysis.
• Worked on projects for multiple clients, working on advanced image processing techniques for vector extraction from land maps, improving accuracy and efficiency in geospatial data interpretation.

Aug 2022 – Jan 2023 · 5 mos

• Researched the nature of attacks within multi-tenant distributed systems, aiming to mitigate vulnerabilities inherent in such environments.
• Developed an ensemble machine learning model tailored for the detection of vulnerabilities and malicious tenants in multi-tenant distributed systems.
• Leveraging a meticulously configured virtual network setup, created a comprehensive and publicly available dataset comprising over 50,000 timeframe instances specifically designed for attack detection.

May 2022 – May 2023 · 1 yr

• I was responsible for building and maintaining relationships with companies to secure sponsorships for our events. I led a team of 15 students, working closely with potential sponsors to understand their goals and align them with our event’s vision. This involved everything from pitching partnership proposals to negotiating deals and ensuring sponsors received the visibility and engagement they expected. Through this role, I helped secure key sponsorships that were crucial to the success of our TEDx event, while also fostering strong, lasting connections with stakeholders.

Jul 2021 – May 2022 · 10 mos

• Part of the content, partnerships, and operations teams in the club of TEDxPICT.
• As a member of the content team, I was responsible for creating engaging blogs and social media articles covering a range of topics.
• In my role in the partnerships team, I focused on securing sponsorships from companies to support the TEDxPICT event.
• As a member of the operations team, I handled the logistics and organization of the event, ensuring smooth and successful execution.

Sep 2021 – May 2022 · 8 mos · Pune, Maharashtra, India

• Played a key role in ensuring the quality and reliability of software products by conducting comprehensive testing procedures and documenting test results, user guides, and system manuals.
• Assisted in Python back-end development for a gaming platform, utilizing the Flask framework.