Shreeraj Bhamare

Assitant Vice President, Wells Fargo

Sep 2023 - Present

• Wealth and Investment Management Technology (WIMT)
• Transitioned legacy apps to an Event-Driven Microservices setup with Apigee and Harness for improved scalability and integration. Developed high-performance Java microservices, banking trade processing.
• Maintaing and enhancing microservices for precise data retrieval with fault tolerance and dynamic load balancing.Enhanced trade execution with custom APIs and supported concurrent transactions and real-time AMTM (Account Management Trade Management) in the portal backend.

Program Associate, Wells Fargo

Jan 2023 - Aug 2023

• Led the migration of a legacy application from on-premises physical servers to a cloud-native architecture, utilising Spring Boot for the backend services and integrated with React for the micro-frontend technology.
• The migration initiative involved implementing new features and elevating user experience, alongside driving the adoption of a micro frontend architecture that improved modularity and enabled independent development and deployment of UI components for enhanced agility and scalability.

Software Engineering Intern, Barclays

May 2022 - Aug 2022

• Engineered a Spring Boot microservice integrated with Apache Kafka and Ignite, optimizing global trade processes by populating trades into the tradestore. Collaborated closely with analysts and developers, balancing usability and performance trade-offs to refine the service architecture and approach.
• Led the full lifecycle setup, including drafting technical specification documentation, creating test modules, conducting quality analysis, and performing system testing. Applied best practices in back-end development, version control, and scalable system design to ensure reliable, high-performance trade execution.

Vice President, Data Science and Artificial Intelligence Group (DSAI) , COEP

June 2021 - May 2022

• Optimized large language models such as BERT and BART for specialized NLP applications, fostering AI research and strengthening leadership and collaboration within the team.

Computer Society of India (CSI) | COEP Chapter

Aug 2019 - May 2022

• Led the transition to online events during the COVID-19 pandemic, organizing workshops, coding sessions, and a national-level event, 'Innovations,' featuring technical workshops and industry guest keynotes.

Team Spandan | COEP Technological University

Aug 2020 - May 2023

• Spearheaded social initiatives, including donation drives, blood donation camps, and educational mentoring for underprivileged children, while enhancing event outreach through technology-driven solutions.

Master of Science in Computer Science [ MSCS ]

Aug-2025 - Present

Arizona State University, Tempe, United States

• Actively participated in and won multiple hackathons, including ASU Hacks, where I collaborated with diverse teams to develop innovative solutions using technologies like AI, Machine Learning, and Cloud Computing.
• Organized and conducted seminars on emerging topics, including Machine Learning and Blockchain, aimed at sharing knowledge and fostering a community of tech enthusiasts.
• Currently pursuing an MSCS at ASU with a 4.0 GPA, focusing on Data Science, Machine Learning and Artificial Intelligence.

Bachelor of Technology, Computer Science

June 2019 - May 2023

COEP Technological University, Pune

• Consistently featured on the Dean's Merit List for academic excellence throughout the course, reflecting strong dedication and achievement in computer science studies.
  GPA : 3.8
• Recognized for the Best Final Year Project for "Translating the Unspoken," a machine learning-based Indian Sign Language recognition system, which received widespread academic acclaim.
• Won multiple hackathons including the national Smart India Hackathon, leading a team to develop innovative solutions for real-world problems, demonstrating strong problem-solving and teamwork skills.

Research Scholar Assistance

Oct 2023 - May 2023

• Collaborated with TCS Research to explore advanced NLP techniques, focusing on text segmentation, document classification, and extracting structured information from complex document layouts using algorithms like Connected Component Analysis (CCA) and Optical Character Recognition (OCR).
• Contributed to enhancing layout recognition algorithms such as Maximal Rectangular Method (MRM) and Graph-Based Layout Analysis, improving accuracy in handling diverse document structures, including tables, headings, and paragraphs, in scanned documents and PDFs.
• Investigated the integration of multi-modal data (text, images, and graphs) to refine document layout models, using approaches like Rule-Based Classification and Deep Learning-Based Layout Parsing, resulting in better content extraction from varied document formats.

Student Research Assistant

June 2022 - May 2023

• Worked as a Research Assistant during the summer under Prof. Siddharth Gaikwad, contributing research on integrating advanced segmentation techniques to detect cysts in the human brain using MRI sequences, improving accuracy and efficiency in medical image analysis.
• Leveraged multimodal imaging and segmentation methods to refine diagnostic models, contributing to more reliable and precise cyst detection in brain MRIs, with potential applications in medical diagnostics and treatment planning.