Available to hire
I’m Sai Manohar Palevar, a Full Stack Developer with 3+ years of experience delivering enterprise applications for healthcare and technology clients. I build scalable backend services and modern web interfaces that support core operational workflows, using Java, Spring Boot, REST APIs, React, and AWS-based deployments.\n\nI thrive in regulated, high-volume environments, have hands-on experience with event-driven architectures, databases (MySQL, MongoDB), CI/CD pipelines, and data processing with Spark and Airflow. I enjoy collaborating with cross-functional teams to ship reliable software that users love.
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Expert
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Intermediate
Language
English
Fluent
Work Experience
Full Stack Developer at Uber
August 1, 2025 - PresentDeveloped a real-time customer support dashboard using React, Redux, and React Router; optimized component architecture for faster renders and better responsiveness; integrated Google Maps API and multiple payment gateways for real-time updates and route optimization. Led project management workflows via Jira, architected modular RESTful APIs using Node.js/Express, and deployed scalable applications on AWS (Lambda, EC2, CodePipeline). Enhanced frontend with React.js, Next.js, and Material UI; optimized MySQL and MongoDB queries; partnered with DevOps to implement CI/CD pipelines using GitHub Actions and AWS CodePipeline. Experience with AWS EC2/EKS, Spark, and EMR for big data processing.
Full Stack Developer at Dell Technologies
December 1, 2020 - August 1, 2023Delivered backend services using Java 8, Spring MVC, and JDBC with 19 REST endpoints supporting asset tracking and order reconciliation for 35+ operations users. Hardened deployments with Jenkins and Docker multi-stage builds, improving staging-to-prod lead time by 8 hours per sprint. Processed large-scale datasets with Python/NumPy, transforming 900K+ monthly records for internal reporting. Built Angular front-end modules with 26 functional screens. Trained text classification models using scikit-learn and TF-IDF for service desk routing. Developed a Spring Boot microservice on AWS EC2 processing 150k+ shipment events/day with reduced p95 latency. Implemented nightly Airflow + Spark ETL loading 70k+ records into S3, and executed automated testing with Selenium and Jenkins for monthly releases.
Education
Master of Science (MS), Computer and Information Sciences at Roosevelt University
January 11, 2030 - May 1, 2025Master of Science at Roosevelt University
January 11, 2030 - May 1, 2025Master of Science (MS), Computer and Information Sciences at Roosevelt University
January 11, 2030 - May 1, 2025Master of Science (MS), Computer and Information Sciences at Roosevelt University
January 11, 2030 - May 1, 2025Master of Science (MS), Computer and Information Sciences at Roosevelt University
January 11, 2030 - May 1, 2025Qualifications
Industry Experience
Healthcare, Software & Internet, Professional Services, Computers & Electronics, Media & Entertainment
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Expert
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Intermediate
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