Jan 2021 – Jun 2022 · 1 yr 5 mos

• Designed and deployed scalable data pipelines to aggregate, enrich, and serve high-volume marketing and user data from multiple sources, optimized for performance and reliability.
• Architected robust APIs supporting on-demand exports of up to 50K records per request, enabling seamless integration with external CRM and automation platforms.
• Implemented complex filtering and segmentation logic (e.g., geography, role, experience, intent) to support flexible, user-driven querying and personalization.
• Engineered a GPT-3 based automation tool for email replies, reducing user effort by 70% and saving 20+ hours per month per user.
• Led cross-functional teams of 10 members across engineering, product, and marketing; contributed to system architecture, code reviews, product planning, and go-to-market execution.

Dec 2020 – May 2022 · 1 yr 5 mos · Mumbai · On-site

• Led a team at the CoE-CNDS Lab, VJTI, to develop a real-time DeepFake detection solution using video vision transformers for spatio-temporal feature extraction.
• Published the research paper "Realtime Deepfake Detection Using Video Vision Transformer" at the 2022 IEEE Bombay Section Signature Conference (IBSSC), addressing critical challenges posed by deep fakes.
• Developed a user-friendly web application for video authentication and live meeting verification to enhance digital trust.
• Research Paper: https://ieeexplore.ieee.org/document/10037344

Jun 2020 – Sep 2020 · 3 mos · Mumbai Metropolitan Region

• During my internship at AIRPIX, a Mumbai-based aerial systems startup, I played a key role in developing a Large-Scale and Real-Time Face Recognition System. Leveraging my expertise in AI, ML, and object detection, I led the design and implementation of this advanced system, which has the remarkable capability to identify over 10 thousand distinct individuals in real-time. This experience allowed me to push the boundaries of face recognition technology and showcase my technical skills in a practical setting.
• Working at AIRPIX provided invaluable insights into the practical application of AI and ML within the drone industry. Throughout the internship, I actively contributed to AIRPIX's mission of providing data processing and analytics solutions derived from drones. This experience not only enhanced my technical abilities but also reinforced my passion for AI, ML, and object detection. I am proud to have been part of a dynamic team that is at the forefront of revolutionizing the aerial systems industry with cutting-edge technologies.

May 2020 – Jun 2020 · 1 mo

• As a Software Engineering Intern at JPMorgan Chase & Co., my role was to develop a robust data analysis and visualization system in the financial domain. During the two-month virtual experience, I designed and implemented an interface with a stock price data feed using Python. Leveraging the Perspective web application framework, I enhanced data visualization capabilities to align with JP Morgan Chase's model.
• Additionally, I created dynamic charts for the Trader's dashboard, enabling informed investment strategies based on real-time market data. This experience highlighted my expertise in software engineering, data analysis, and financial modeling. Collaborating with professionals, I gained valuable insights into the financial technology sector while delivering impactful results. My internship at JPMorgan Chase & Co. solidified my passion for software engineering and deepened my understanding of technology's role in finance.