Jul 2024 – Aug 2025 · 1 yr 1 mo · On-site

• Worked within the Consumer & Community Banking (CCB) in Wealth Management segment. As a part of 529 College Savings Plan in 11 US states I built ETL data and utilized AEM Designer Tools.
• Also engaged in internal hackathons and technical workshop that fostered continuous innovation.

Jan 2024 – Jun 2024 · 5 mos · On-site

• Worked in LOB: Corporate Technology Line of Business (Risk Tech) teams.
• Redesigned liquidity reporting infrastructure to align with evolving regulatory mandates by optimising DAG-based data pipelines across high-volume reporting systems.
• Streamlined daily workflows for 100+ processors by automating complex Directed Acyclic Graph (DAG) flows in Python and Apache Airflow, reducing manual intervention and increasing reporting speed

Jun 2023 – Jul 2023 · 1 mo · Bengaluru, Karnataka, India · On-site

• Worked in Electronic Compliance Department (FRDC) under the Global Technology
• Developed DL-based algorithms (BERT, Transcription Engines) which were 80% accurate for automating surveillance systems over emails, voice recording and other modes of communication between employees and traders.

Feb 2022 – Jun 2023 · 1 yr 4 mos

• Collaborated with women entrepreneurs across the globe, including founders from Mexico to brainstorm startup ideas and develop early stage CRM portals

May 2021 – Jul 2021 · 2 mos · Delhi, India

• Presented a research paper focused on bone abnormality detection using the MURA (Musculoskeletal Radiographs) dataset released by Stanford University, as part of a collaborative project under the mentorship of researchers from IIIT Allahabad.
• Utilized convolutional neural networks (CNNs) and transfer learning techniques to detect abnormalities across seven anatomical categories (elbow, finger, hand, etc.).
• Achieved a model performance comparable to practicing radiologists, highlighting AI’s role in assisting diagnostic workflows in resource-constrained environments.
• Presented findings at a university-level research forum, discussing clinical relevance, dataset challenges (class imbalance, resolution issues), and future potential in medical imaging.
• Contributed to Stanford’s open-source initiative, enhancing the MURA project webpage by refining documentation and sample usage scripts to improve accessibility for global researchers and students.

Feb 2021 – May 2021 · 3 mos · in collaboration with IIT Guwahti

• Developed a traffic signal detection system using a Kaggle deep learning dataset, implemented in Python, to support the advancement of autonomous vehicle technologies.
• The project showcases the integration of computer vision and deep learning for use in self-driving systems, aiming to enhance road safety and intelligent vehicle response.

Jan 2021 – May 2021 · 4 mos · Delhi

• Actively contributed to open-source projects, working across 10+ repositories to add new features, resolve bugs, and improve code efficiency and documentation.
• Collaborated with global developer communities via platforms like GitHub, engaging in code reviews, issue discussions, and pull requests to support collaborative development workflows.
• Strengthened understanding of version control, clean code practices, and large-scale codebases while fostering a spirit of knowledge sharing, innovation, and community-driven development.
• Contributions led to improved project stability, enhanced functionality, and increased accessibility for users and fellow developers.