Software Engineer

Nishanthan Rengaharan

480-***-**** ********@***.*** linkedin.com/in/nishanthanr github.com/nishanthanr151998 nishanthan-rengaharan.github.io

PROFESSIONAL SUMMARY

Software Engineer with expertise in designing scalable solutions, optimizing system performance, and developing applications using Python, C++, and C#. Skilled in cloud platforms, system architecture, and modern frameworks like Angular and Django. Passionate about solving complex challenges and delivering impactful results. EXPERIENCE

Software Engineer Intern Zerocircle, Tempe, Arizona July 2024 – Present

● Developed an Angular-based loan application platform, integrating Cognito Forms to streamline green capital access for SMBs, enhancing financial support reach.

● Engineered embedded forms with dynamic style customization for customers using Flask and Azure, improving user experience and brand alignment across diverse client websites. Software Engineer Amadeus(Hospitality), Bangalore,India July 2019 – August 2022

● Transformed a legacy Monolithic architecture application into Micro-service architecture by building 15+ REST APIs applications using C# for efficiently managing and scaling systems, and increasing the throughput by 30%.

● Created Hotel Property Management Front-end web application leveraging Angular/Typescript for Hoteliers and Hotel Aggregators increasing the revenue by 200%.

● Designed and automated comprehensive end-to-end tests, improving test coverage by 20% and ensuring robust functionality for a Hotel Management Web app using Cypress and Protractor.

● Constructed CI/CD pipelines for applications hosted in cloud leveraging Microsoft Azure and reduced Docker container size of applications from 300MB to 30MB.

● Enforced GDPR and European data protection guidelines across MySQL databases in the Hotel Management application, writing stored procedures for cron jobs to ensure customer data retention complies with a 5-year limit without consent.

● Boosted code coverage by 25% and cut bug resolution time by 30% by integrating Cobertura with Azure CI/CD pipelines in an Angular application, streamlining coverage gap identification. EDUCATION

Master of Science in Computer Science Arizona State University May 2024 Relevant Coursework: Distributed Software Development, Algorithms, Cloud Computing GPA: 4.0 /4.0 B.E in Electronics and Communications MIT, Anna University May 2019 Relevant Coursework: Data Structures, Digital Signal Processing, Operating Systems GPA: 8.77/10 TECHNICAL SKILLS

Languages : Python, C++, C# Front-End : HTML, CSS, D3.js Frameworks : Django, Angular Testing Tools : Cypress, Protractor Databases : SQL, MongoDB, DynamoDB Cloud platforms : Azure,AWS,Firebase Certifications : Agile SAFe, Go, MS AZ-900 fundamentals Version Control : Git, Github, TFS PROJECTS

Ecommerce Clothing App May 2024 – June 2024

● Developed an Ecommerce clothing store using React/JavaScript, delivering a seamless user experience.

● Integrated Firebase for authentication and database storage, enabling secure Google Sign-in functionality for streamlined user access.

Trip Planning Application August 2023 – December 2023

● Architected a distributed ASP.Net Web application using C#, employing a micro-service architecture.

● Collaborated with a team of three to develop and implement a WSDL-based weather forecasting service and a REST-based nearest store finder, integrating Google Places and ChatGPT APIs to enhance application functionality. Digital Forensics - Chain of Custody App August 2023 – December 2023

● Deployed a digital chain of custody system using Python and Blockchain, replacing traditional paper methods and ensuring transparent, tamper-proof tracking of evidence location.

● Integrated and Optimized key commands (add, checkout, checkin, show cases/items/history, remove, verify), significantly enhancing the functionality and success of the digital chain of custody project. Face Recognition Attendance Application August 2022 – December 2022

● Deployed an image classification model on AWS EC2 and S3, achieving sub-200ms response times for real-time image processing.

● Designed a computer vision model for classroom attendance in AWS, utilizing Lambda, S3, and DynamoDB to achieve latency under 100ms.

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