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Software Engineer with 3+ years in Java, Spring Boot, Angular, and AI-driven solutions.
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Assessing your cultural and operational fit
Software Engineer III with 3+ years of experience building high-scale distributed systems and digital banking solutions at Morgan Stanley. Expert in Java Spring Boot microservices, Angular front-end architectures, and AI-driven workflow automation. Proven track record of reducing operational latency by 50% and optimizing CI/CD pipelines. Skilled in navigating complex enterprise environments to deliver accessible, secure, and scalable cloud-native applications.
Vellore Institute of Technology (VIT)
B.Tech. · Computer Science and Engineering
N/A – June 30, 2022
MORGAN STANLEY
Software Engineer III
June 1, 2022 – Present
Bengaluru, Karnataka, India
CODEPARK
UI/UX Developer
May 1, 2019 – August 1, 2019
Vellore, Tamil Nadu, India
Taxiwale - Cab Booking Platform
January 1, 2022 – June 1, 2022
Built a React-based booking engine with dynamic routing and carousel functionality. Implemented comprehensive wireframing in Figma to optimize UX flows before development.
Mars Rover (University Rover Challenge Finalist)
June 1, 2019 – April 1, 2020
Designed a soil analysis module using Python (OpenCV) and GNNs to detect life signs in soil samples. Secured a finalist position in URC 2020 (Utah, USA) by engineering a rover capable of autonomous navigation. Managed a 10-month development lifecycle using Gantt charts to track milestones across hardware and software sub-teams.
Cultural Fit Analysis
The candidate's experience spans academic projects (Mars Rover, Taxiwale) and professional roles in a major financial institution (Morgan Stanley) and an internship at a startup (Codepark). This diversity indicates adaptability to different work environments and project types. Their involvement in the Mars Rover project as a lead developer for a science module and participation in hackathons suggests a proactive, innovative, and collaborative mindset. The breadth of technical skills (Java, Python, Angular, React, ML, DevOps) further supports a strong cultural fit for roles requiring continuous learning and versatile contributions.
Soft Skills & Operational Fit
The candidate demonstrates strong project management skills through the Mars Rover project (Gantt charts, managing sub-teams) and collaboration in hackathon organization. Their role at Morgan Stanley highlights incident response and cross-team collaboration, indicating good operational fit and ability to work in complex enterprise environments. The focus on reducing manual errors and improving throughput suggests a detail-oriented and efficiency-driven approach.