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Fullstack Engineer with 4+ years in Java, Python, and AI/ML systems
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Software Engineer with 3+ years building full-stack and backend systems in Java and Python, specialising in the medical device domain at ICU Medical. Designed and shipped Inventora (clinical asset management - React.js + FastAPI), the Neuron Framework (99.1% accuracy visual automation - OpenCV), and LifeShield Java backend services maintaining 99.9% uptime. Proficient in CI/CD orchestration, REST API design, OAuth2/JWT security, and AWS. Currently completing the IBM Generative AI Engineering Professional Certificate.
College of Engineering, Guindy
M.Sc. · Information Technology
August 1, 2022 – Present
ICU Medical
Software Engineer I
February 1, 2023 – Present
Chennai, Tamil Nadu, India
Disprz
Associate Software Engineer
October 1, 2022 – January 1, 2023
India
Travail Technologies
Backend Developer Intern
September 1, 2020 – December 1, 2020
India
FailLab CI/CD Diagnostic Tool
October 1, 2024 – August 1, 2025
• Eliminated 60% of manual CI/CD failure triage time by building an intelligent Regex pattern-matching post-mortem engine. • Surfaced actionable fix suggestions by categorising repeated execution errors against historical failure data. • Built a centralised failure trends dashboard enabling data-driven decisions on system stability improvements.
Neuron Framework (NFW) Visual Automation Engine
April 1, 2024 – June 1, 2026
• Achieved 99.1% UI validation accuracy across heterogeneous hardware by building a computer vision automation engine — replacing manual verification entirely. • Cut manual debugging cycles by 35% by integrating FailLab diagnostics directly into the CI/CD post-mortem pipeline. • Sustained 98% code coverage on critical paths while scaling test throughput by 50% across distributed environments.
Inventora Clinical Asset Management System
July 1, 2023 – June 1, 2026
• Reduced inventory discrepancy rate from 15% to 5% and cut audit duration by 20% by building a real-time full-stack inventory tracker. • Secured the platform end-to-end with OAuth2/JWT authentication and RBAC enforcing 24-hour token expiration. • Built responsive React.js frontend with FastAPI backend, deployed on AWS S3 for scalable medical data storage.
LifeShield Infusion Safety Clinical Platform
February 1, 2023 – December 1, 2024
• Maintained 99.9% system uptime for mission-critical medical device communication by engineering core Java backend modules. • Reduced cloud-to-pump drug library sync latency by 25%, enabling near real-time medication safety updates. • Accelerated EHR/EMR digital handoff by 15% through robust RESTful API design for physician order integration. • Increased regression testing efficiency by 45% and reduced manual QA overhead by 30% via automated validation suites.
IBM Generative AI Engineering Professional Certificate
Coursera
June 1, 2026 – February 1, 2026
React The Complete Guide (Hooks, React Router, Redux)
Udemy
October 1, 2024 – January 1, 2025
Java Data Structures & Algorithms + LeetCode Exercises
Udemy
November 1, 2023 – March 1, 2024
Cultural Fit Analysis
The candidate's project diversity, ranging from clinical asset management to CI/CD diagnostics and visual automation, indicates adaptability and a broad interest in solving different types of technical challenges. Their experience in a medical device company suggests an ability to thrive in environments requiring precision, reliability, and adherence to high standards. The mention of mentoring and Agile practices points to a collaborative mindset. The pursuit of certifications in Generative AI and React shows a commitment to continuous learning and staying current with industry trends, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the development of innovative solutions like NFW and FailLab. Their experience in mentoring and streamlining code reviews suggests good teamwork and leadership potential. The focus on reducing discrepancies, improving efficiency, and maintaining high uptime indicates a results-oriented and reliable operational fit. The medical domain experience implies an ability to handle complex, critical systems with attention to detail and compliance.