Full Stack Engineer

Srivibhushanaa Senthilnathan

+1-623-***-**** ********@***.*** LinkedIn

Summary:

Dynamic and detail-oriented Software Engineer with 2.5 + years of experience delivering scalable full-stack solutions across cloud and on- premise environments. Proficient in JavaScript, React.js, Next.js, .NET, and PostgreSQL, with strong expertise in RESTful APIs, SQL/NoSQL databases, and performance optimization. Experienced in deploying robust applications using AWS, Azure, and Google Cloud Platform (GCP). Proven ability to work in Agile environments, collaborate across teams, and build impactful systems Education:

Master of Science (MS): Information Technology, Arizona State University, USA Jan 2023 – Dec 2024 Bachelor of Engineering (BE): Computer Science, Anna University, India Aug 2016 – May 2020 Work Experience:

Full Stack Engineer Kinnect Tempe, USA May 2025 – Present

• Designed and implemented a voice-to-text survey workflow using React.js, Next.js, and the Web Speech API, improving accessibility and increasing user engagement by 20% across dynamic form interfaces

• Built and deployed automated event-driven flows in Customer.io, enabling real-time behavioral tracking and personalized messaging that boosted user retention and conversion metrics

• Collaborated with UI/UX teams to revamp the website layout, achieving a 30% improvement in website performance and load speed

• Integrated and optimized RESTful APIs for real-time sales and behavior analytics, enhancing data visibility for marketing teams and improving decision-making speed by 25%

• Maintained high code quality and deployment consistency using CI/CD pipelines and automated staging QA Full Stack Engineer OSAZ Tempe, USA Mar 2025 – May 2025

• Spearheaded the redesign of a Next.js-based frontend using Figma, leading to a 30% increase in feature adoption and visual consistency

• Built reusable, dynamic components with React.js and Firebase, reducing redundant codebase and improving development velocity

• Deployed microservices to GCP, optimizing build pipelines and reducing deployment time by 40% across production environments

• Diagnosed and resolved API communication issues in collaboration with AI and backend teams, stabilizing system reliability

• Used Docker for local container testing and deployment to ensure seamless staging-to-production handoff Software Engineer LTIMindtree Bengaluru, India Oct 2020 – Dec 2022

• Developed and delivered scalable backend solutions using .NET and C#, tailored to client-specific requirements and aligned with core business logic to ensure high accuracy and stakeholder satisfaction

• Automated repetitive workflows using UiPath, achieving 90% task automation and saving 15+ hours per week across teams

• Created PowerShell scripts to automate server maintenance, reducing IT overhead by 50% and improving uptime

• Migrated enterprise systems to Azure cloud infrastructure, resulting in 99.9% uptime and faster service delivery

• Mentored junior developers and handled production change requests, ensuring high code quality and successful live deployments

• Led cross-functional process improvement efforts to eliminate reporting delays, accelerating executive decision-making by 20% Honors & Awards:

• Mr. Significant Award – LTIMindtree: Honored for driving technical innovation and improving software efficiency

• Hackathon Leadership – SVCE: Secured 4th place among 30+ teams for building an innovative, deadline-driven project

• AWS Hackathon – Arizona State University: Ranked 6th among 20+ teams for developing scalable AWS-based solutions in a time- constrained, cloud-focused challenge

Technical Skills:

• Programming Languages: C#, .NET, Python, JavaScript (ES6+), HTML, CSS, C++, SQL

• Frameworks & Libraries: React.js, Next.js, AngularJS, Django, Redux

• Cloud & DevOps: AWS (EC2, S3), Microsoft Azure, Google Cloud Platform (GCP), CI/CD Pipelines, Docker

• Databases: PostgreSQL, MySQL, SQL Server, NoSQL (DynamoDB)

• Tools & Automation: UiPath, PowerShell, Visual Studio, JIRA, Git, Unit Testing

• Data & Analytics: Pandas, NumPy, TensorFlow, Tableau, Power BI, Jupyter Notebook Projects:

Full-Stack E-Commerce Website (Web Development, Django, Frontend Optimization)

• Designed and implemented a cross-device e-commerce platform using Django with session-based cart functionality for secure checkouts

• Optimized UI layouts and asset delivery, resulting in a 25% improvement in page load speed across mobile and desktop devices Real-Time Stock Alert System (Automation, API Integration, Twilio)

• Built an automated real-time stock tracker using external APIs, analyzing market data for price fluctuations

• Integrated Twilio for SMS alerts with a 99% delivery success rate, enabling timely investor decision-making Automatic Speech Recognition (Deep Learning, NLP, TensorFlow)

• Developed a deep learning-based speech-to-text model achieving 80% accuracy across varied audio inputs

• Enhanced recognition accuracy by refining model architecture and training on diverse linguistic datasets Heart Disease Classification (Machine Learning, Healthcare Analytics, Data Processing)

• Engineered a Decision Tree classification model with K-Fold validation, attaining 85% prediction accuracy

• Preprocessed clinical datasets with LabelEncoder and Pandas, ensuring robust model input quality and reproducibility

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