I am a Software Engineer with 4+ years of experience building scalable, high-performance applications across automotive and enterprise domains. I specialize in Python, JavaScript (React, Node.js), Java, C++, and SQL, with cloud-native development on AWS and Azure. I architect microservices, design RESTful APIs, and implement real-time systems using WebSockets and event-driven patterns. I have hands-on experience with predictive analytics, ML models like Prophet and LSTM, and CI/CD automation with Jenkins, Docker, and Kubernetes. I thrive in Agile, cross-functional teams, and am committed to delivering secure, maintainable, and production-grade software. My work combines data-driven insights with practical software engineering to drive operational efficiency and measurable impact.

Keerthi Sekhar

I am a Software Engineer with 4+ years of experience building scalable, high-performance applications across automotive and enterprise domains. I specialize in Python, JavaScript (React, Node.js), Java, C++, and SQL, with cloud-native development on AWS and Azure. I architect microservices, design RESTful APIs, and implement real-time systems using WebSockets and event-driven patterns. I have hands-on experience with predictive analytics, ML models like Prophet and LSTM, and CI/CD automation with Jenkins, Docker, and Kubernetes. I thrive in Agile, cross-functional teams, and am committed to delivering secure, maintainable, and production-grade software. My work combines data-driven insights with practical software engineering to drive operational efficiency and measurable impact.

Available to hire

I am a Software Engineer with 4+ years of experience building scalable, high-performance applications across automotive and enterprise domains. I specialize in Python, JavaScript (React, Node.js), Java, C++, and SQL, with cloud-native development on AWS and Azure. I architect microservices, design RESTful APIs, and implement real-time systems using WebSockets and event-driven patterns. I have hands-on experience with predictive analytics, ML models like Prophet and LSTM, and CI/CD automation with Jenkins, Docker, and Kubernetes.

I thrive in Agile, cross-functional teams, and am committed to delivering secure, maintainable, and production-grade software. My work combines data-driven insights with practical software engineering to drive operational efficiency and measurable impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Beginner
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Language

English
Fluent

Work Experience

Software Engineer at Tesla
April 1, 2024 - Present
At Tesla, I designed and deployed scalable backend microservices using Node.js and Python (FastAPI) to process battery data and vehicle telemetry, which reduced API latency by 40% through Kubernetes orchestration and AWS Lambda integration. I developed an interactive battery performance dashboard using React, Redux, and D3.js hosted on AWS Amplify, boosting user engagement by 25%. I built time-series forecasting models with Prophet and LSTM for predictive maintenance that decreased vehicle service visits by 18%, deploying these models via AWS IoT Core and visualizing data through Grafana. Additionally, I engineered a real-time vehicle status monitoring interface with React.js, WebSockets, React Hooks, and Material-UI, achieving sub-100ms latency for live data, enhancing fleet efficiency. I optimized PostgreSQL queries for a 35% performance improvement, developed a machine learning-based intrusion detection system for CAN bus protocols using Zeek and Elastic Stack identifying over 70 mo
Software Engineer at Cognizant
December 31, 2022 - August 27, 2025
At Cognizant, I developed and maintained enterprise-grade responsive web applications using JavaScript, React, HTML5, and CSS3 with a focus on accessibility, performance, and cross-platform compatibility. I designed and deployed cloud-native applications on Microsoft Azure utilizing Azure App Service and Azure Functions, which accelerated release cycles and reduced infrastructure costs. I applied Test-Driven Development with JUnit to enhance unit test coverage and reduce defects, improving code reliability. I developed data-centric backend services with Python and SQL Server for real-time business reporting dashboards, optimized ML microservice latency using gRPC streaming and Redis caching, and implemented CI/CD pipelines with Jenkins. I managed Agile sprints, tickets, and collaboration via JIRA, and partnered with ML Engineers and Data Scientists to productionize predictive models with Python API wrappers and monitoring dashboards integrating machine learning outputs into business ap
Software Engineer at Cognizant
January 1, 2019 - December 1, 2022
Developed and maintained enterprise-grade, responsive web applications using JavaScript, React, HTML5, and CSS3 with a focus on accessibility and performance. Designed and deployed cloud-native applications on Microsoft Azure (App Service, Functions), resulting in faster release cycles and reduced infrastructure costs. Applied Test-Driven Development (TDD) with JUnit, improving unit test coverage and reducing defects. Built data-centric backend services with Python and SQL Server to support real-time business dashboards. Optimized ML microservice latency by implementing gRPC streaming and Redis caching for high-frequency predictions. Implemented CI/CD pipelines using Jenkins and managed Agile sprints with JIRA. Collaborated with ML Engineers and Data Scientists to productionize predictive models, developing Python API wrappers and monitoring dashboards that integrated ML outputs into business applications.

Education

Master’s in Information Systems at George Mason University
January 11, 2030 - August 27, 2025
Master's in Information Systems at George Mason University
January 11, 2030 - December 8, 2025

Qualifications

AWS Certified Developer – Associate
January 11, 2030 - August 27, 2025
AWS Certified Developer – Associate
January 11, 2030 - December 8, 2025

Industry Experience

Software & Internet, Transportation & Logistics, Manufacturing