Project Caviar
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Summary
Led a 6-member team in the development of Project Caviar, a luxurious e-commerce website, utilizing Java, Angular, and Spring Boot.
Aspiring Data Engineer with 1.5 years of impactful software development experience, specializing in Information Science and Machine Learning. Proven ability to optimize logistics and supply chain applications, consistently delivering 20-40% improvements in performance and reliability. Leverages expertise in Java, Python, SQL, Angular, SpringBoot, and AWS to build scalable, data-driven solutions and drive technical excellence within cross-functional teams.
Developer - Digital Engineer
Chennai, Tamil Nadu, India
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Summary
Contributed as a Digital Engineer within Matson's MLSC division, focusing on optimizing logistics and supply chain applications to enhance operational efficiency and user experience.
Highlights
Engineered frontend layout for the ASN dashboard within the MLSC portal, boosting dashboard responsiveness by 30% and supporting daily processing of hundreds of transactions (Jan 2024 - Apr 2024).
Developed dedicated booking-logic code for a key customer, resulting in a 20% reduction in booking errors and streamlining daily transaction processing (Nov 2023 - Dec 2023).
Created specialized purchase order logic for a major customer (EMSER tiles), decreasing order processing time by 20% and ensuring robust validation across all user types (Sep 2023 – Oct 2023).
Optimized MLSC portal performance, reducing page load time by 30-40% and resolving 20-25 critical bugs, significantly improving user satisfaction (Jul 2023 - May 2024).
Full Stack Developer in Java (Training)
Hyderabad, Telangana, India
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Summary
Completed intensive Full Stack Developer training, mastering Java, Angular, and SpringBoot while leading a team to develop a functional e-commerce platform.
Highlights
Led a 6-member team in the successful development of Project Caviar, an e-commerce website, applying Agile methodologies.
Implemented robust security features, including Google reCAPTCHA and Firebase-based mobile OTP login, significantly enhancing user authentication and data integrity.
Collaborated cross-functionally to debug and resolve complex issues, ensuring on-time project milestones and high-quality deliverables through comprehensive testing.
Managed project confidentiality and intellectual property, demonstrating strong ownership of tasks and fostering a balanced, productive team workflow.
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MS
Information Science (Specialized in Machine Learning)
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ME
Aerospace Technology
Grade: 7.89 (First-class)
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BTech
Aerospace Engineering
Grade: 7.5 (First-class)
Python, Java, SQL, Javascript, HTML, CSS.
Angular, Spring Boot, Pandas, NumPy, Matplotlib.
MySQL Workbench, AWS.
Agile, Unit Testing, Documentation, Performance Tuning, Cross-functional Collaboration, Problem Solving, SDLC, Data-Driven Development, Scalable Architecture, User Authentication, Security Implementation, Quality Assurance, Project Management, Team Leadership.
Data Engineering, Machine Learning, Information Science, Logistics & Supply Chain Applications, Full Stack Development.
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Summary
Led a 6-member team in the development of Project Caviar, a luxurious e-commerce website, utilizing Java, Angular, and Spring Boot.