Built an HTTP caching proxy in Spring Boot with Redis-backed GET caching to reduce redundant API calls and upstream load. Added configurable TTL and invalidation policies, X-Cache observability headers, and Dockerized Redis for consistent local setup.
Abhinesh Jha
Learning Backend Engineering | Go | Java | 3X Open Source Programs 🏆
Gurgaon, IndiaSoftware Development
1roles
39skills
3education
About
> Learning core fundamentals of backend engineering and getting into open source > I write code in Go, Java and Python
Experience
Backend Developer Intern
PW Skills
July 2025 – October 2025
Built RESTful APIs with Java and Spring Boot, reducing response latency by 40%. Optimized backend pipelines using Collections and Stream API, increasing throughput by 35%. Tuned Hibernate and MySQL queries, reducing execution time from 2 seconds to 100 milliseconds. Applied SOLID principles and exception handling to improve maintainability and readability.
Education
St. Andrews Institute of Technology & Management
Bachelor of Technology - BTech, Computer Science
Sep 2022 - Sep 2026
DAV Schools Network
Secondary Education
[object Object]
Maharshi Dayanand University
Bachelor of Technology, Computer Science
2022 - 2026
CGPA: 8.4/10. Academic focus included Data Structures and Algorithms, Operating Systems, DBMS, Computer Networks, and OOP.
Skills
Backend DevelopmentOpen-Source DevelopmentJavaGoPythonCC++SQLJavaScriptKotlinSpring BootSpring MVCSpring SecurityFastAPIHibernateMySQLPostgreSQLMongoDBRedisGitMavenDockerLinuxPostmanSwaggerCI/CDGitHub ActionsRESTful APIsCollections APIStream APISOLID principlesException handlingGoroutinesChannelsWorker-pool architectureNext.jsTypeScriptSpring Data RedisHTTP parser
Projects
Built a socket-based P2P file sharing system for secure, cloud-free transfers of files larger than 500MB. Engineered a thread-safe transfer engine for 50+ concurrent sessions and improved upload speed by 30% using a custom HTTP parser with layered security controls.
Built a concurrent bulk email dispatcher in Go using a worker-pool architecture with Goroutines and Channels. Reduced runtime overhead by preloading templates and added resilient CSV and error handling so bad rows or failed deliveries do not halt processing.
Volunteering
Active FOSS Contributor
Open-source and FOSS projects
Multi-year