Pradeep Kumar Ch
Herndon
Summary
•Around 2+ years of professional experience including design and development of projects, building the web applications using in the areas of Java/J2EE Client and Server-side enterprise applications.
•Good Skills in all phases of SDLC like requirements, multi-tier application development with Agile, Scrum, TDD, and Waterfall.
•Strong experience in design, development using Java, J2EE, Servlets, JMS, MVC Framework, Webservices, XML.
•Used Java8 features such as lambda expressions, Parallel operations on collections, and multithreading.
• Expertise in web-based GUIs using Applets, JSP, HTML5, CSS3 Ajax jQuery, Bootstrap, Java script, Angular JS 2.0/4.0/6/7 and was involved in resolving cross browser Java script issues.
• Extensively worked with both Core and Advanced Java concepts.
Overview
3
3
years of professional experience
Work History
Software Developer
Amazon
06.2022 - Current
- Built high-performance REST APIs with Spring Boot to deliver the best suitable ad for incoming requests, optimizing real-time bidding.
- Built data validation pipelines for ad-targeting Machine-Learning (ML) models using PySpark and AWS SageMaker, ensuring training data consistency and reducing model drift.
- Optimized data pipelines with Python, Kafka, and AWS, processing 6TB of data with millisecond latency for better ad targeting.
- Implemented Great Expectations framework to validate ML features, improving ad prediction accuracy.
- Implemented Geo-Redundancy for availability and built a rate- limit feature to stabilize ad bidding by 25%
Education
Master of Science - Applied Computer Science
Southeast Missouri State University
Cape Girardeau, MO05-2022
Skills
- Technical Skills
- Programming Languages: Java, Python, TypeScript, JavaScript, C, SQL, Shell Scripting
- Web Technologies: HTML5, CSS3, React, AngularJS, REST APIs, gRPC, OpenAPI
- Frameworks & Libraries: Spring Boot, Nodejs, Express
- Databases: MySQL, PostgreSQL, DynamoDB, Amazon S3
- Cloud Services: AWS (EC2, S3, Lambda, CloudWatch, SNS, SQS), Azure (if applicable)
- Data Engineering Tools: Kafka, AWS Glue, Spark
- CI/CD & DevOps Tools: Jenkins, GitHub Actions, Docker, Kubernetes
Timeline
Software Developer
Amazon
06.2022 - Current
Master of Science - Applied Computer Science
Southeast Missouri State University
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