Nitesh G
@niteshg
I build scalable backend systems and data pipelines for high-volume engineering applications.
IndiaWhat I'm looking for
At JPMorgan Chase, I build AWS data infrastructure and Java Spring Boot microservices that connect high-volume data lakes to downstream ML training pipelines. I reduced PostgreSQL query latency by 30% and automated a monthly workflow to cut cycle time by more than 90%.
Previously at American Airlines, I developed optimization features that increased pilot utilization by 5%, built automated messaging and Jenkins CI/CD pipelines, and mentored interns on Java, Spring Boot, Agile, and test-driven development.
At Amazon, I built a GraphQL global-search UI that improved data retrieval efficiency by 15%, increased team efficiency by 93% through automation, and reduced defects by 10%. I’m especially interested in applying PyTorch, high-performance computing, and physics-informed modeling to vehicle engineering problems.
Experience
Work history, roles, and key accomplishments
Designed and deployed AWS infrastructure for data lake integration and ML pipelines. Built Java Spring Boot microservices with Kafka and optimized PostgreSQL queries, reducing latency by 30%.
Implemented optimization features to increase pilot utilization by 5%. Developed CI/CD pipelines and mentored interns on Java and Agile practices.
Education
Degrees, certifications, and relevant coursework
University of Cincinnati
Master of Engineering, Computer Science
2021 - 2022
Grade: 3.96 / 4.0
Master of Engineering in Computer Science with a GPA of 3.96/4.0. Coursework included Advanced Algorithms, Machine Learning, Distributed Operating Systems, Cloud Computing, and Software Testing & QA.
Gandhi Institute of Technology and Management
Bachelor of Technology, Computer Science Engineering
2016 - 2020
Bachelor of Technology in Computer Science Engineering. Coursework included Data Structures, Java, OOP, Web Applications, and Web Services.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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