Summary
Overview
Work History
Education
Skills
Affiliations
Accomplishments
Certification
Languages
Timeline
Easwar Raja

Easwar Raja

Chennai

Summary

Backend-focused Software Engineer with 3 years of experience in developing high-performance systems using Java, Spring Boot, and Hibernate. Expertise in creating reliable backend infrastructure and robust APIs for marine shipping terminals globally.

Overview

3
3
years of professional experience
3
3
Certificate

Work History

Software Engineer

Kaleris
Chennai
08.2022 - Current

Global logistics platform managing operations at hundreds of marine shipping terminals worldwide

  • Developed key product enhancements for manual terminal workflows within the N4 platform.
  • Designed and optimized visualization and analytics reports for RTG crane performance and efficiency.
  • Improved scheduling algorithms for gantry cranes and internal transport trucks, reducing delays and enhancing throughput.
  • Served as primary backend developer for critical modules; conducted code reviews that reduced bugs by 20%.
  • Delivered real-time customer patches via Groovy overrides, enabling faster issue resolution.
  • Fixed multiple high-priority bugs across both automated and manual marine terminal systems.
  • Diagnosed and resolved recurring test failures, boosting overall system reliability.
  • Proactively addressed technical debt across legacy modules, improving maintainability and performance.

Education

Bachelor of Technology - Information Technology

Madras Institute of Technology, Chennai
06-2022
  • Coursework: Data Structures, Algorithms, Database Management, Python and ML programming, Discrete Mathematics, Probability and Statistics
  • Workshops and Seminars Attended: Blockchain, Web development, Advancement in Machine Learning

Skills

  • Programming Languages: Java, C, Python
  • Database Management: MySQL, MongoDB, Oracle
  • Frameworks: Spring Boot, Hibernate, JUnit
  • Tools & Technologies: Git, Docker, Kubernetes
  • Front-End Development: HTML, CSS, JavaScript, React, Vuejs
  • AI Frameworks & Libraries: PyTorch, LangChain, LLaMA

Affiliations

Code Review and Quality Analysis API
Technologies: Java, Spring Boot, PostgreSQL, Swagger, OAuth2, Docker, Kubernetes, Jenkins

  • Built a scalable API to perform scheduled code quality analyses on project repositories, generating both individual and aggregated reports.
  • Developed RESTful APIs for triggering analyses, retrieving reports, and managing repositories, with clear documentation using Swagger.
  • Secured endpoints with OAuth2 and JWT, ensuring fine-grained access control across user roles.
  • Persisted and structured code analysis results in PostgreSQL, offering actionable insights into code quality, standards compliance, and technical debt.
  • Containerized the application using Docker, deployed with Kubernetes, and automated deployment using a Jenkins-based CI/CD pipeline.

ShopAssistAI – Conversational Shopping Assistant
Technologies: Python, Flask, OpenAI GPT-3.5/4, Prompt Engineering, HTML/CSS, JavaScript

  • Designed and deployed ShopAssistAI, a GPT-powered shopping assistant, using Flask backend and iterative prompt engineering.
  • Applied simple prompting techniques to enhance assistant's coherence and task-specific responses.
  • Improved assistant accuracy using Chain of Thought (CoT) reasoning prompts and customer response evaluation workflows.
  • Architected the chatbot with modular components for intent recognition, response generation, and context handling.
  • Leveraged insights into transformers, attention mechanisms, RLHF, and LLM architecture to optimize response reliability.
  • Established performance metrics such as response relevance, coherence, and user satisfaction to track model efficacy.
  • Applied transfer learning and prompt reuse to solve related domain problems with minimal adjustments.

Accomplishments

  • D. Kumar, S. Iyer, E. Raja, R. Kumar, V. P. Kafle,
    “Improving pedestrian navigation in urban environments using augmented reality and landmark recognition,”
    IEEE Communications Standards Magazine, Vol. 8, No. 1, pp. 20–26, March 2024.
    DOI: 10.1109/MCOMSTD.0003.2300017
  • D. Kumar, S. Iyer, E. Raja, R. Kumar, V. P. Kafle,
    “Enhancing user experience in pedestrian navigation based on augmented reality and landmark recognition,”
    ITU Kaleidoscope: Extended Reality – How to Boost Quality of Experience and Interoperability, Accra, Ghana, 2022, pp. 1–8.
    DOI: 10.23919/ITUK56368.2022.10003059

Certification

  • Advanced Data Science Certification
  • Ultimate Hands-On Hadoop - Big Data
  • Flutter & Dart Complete Guide
  • Web development Bootcamp

Languages

Tamil
First Language
English
Proficient (C2)
C2
Hindi
Elementary (A2)
A2

Timeline

Software Engineer - Kaleris
08.2022 - Current
Madras Institute of Technology - Bachelor of Technology, Information Technology

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Easwar Raja