• 🎓 B.Tech in Computer Science & Engineering @ Geeta University (2022–2026)
• 💻 Java Backend Developer — building production-grade distributed systems with Spring Boot, Kafka & Redis
• 🤖 Exploring AI-powered backends — RAG systems, vector search, and LLM integration
• ☁️ Experience deploying microservices on AWS EC2 with Docker & GitHub Actions CI/CD
• 🧠 Passionate about clean architecture, event-driven design, and high-concurrency systems
• 🏆 Active competitive programmer with strong DSA fundamentals

Java · Python · SQL · C++

Spring Boot · Spring Security · Hibernate · JPA · Resilience4j Microservices · REST APIs · Event-Driven Architecture

Apache Kafka · Redis

MySQL · MongoDB · Qdrant (Vector DB)

Docker · Docker Compose · GitHub Actions CI/CD · AWS EC2 Git · Maven · Swagger / OpenAPI · Postman · Apache JMeter

Tech: Java · Spring Boot · Kafka · Redis · Qdrant · Docker

Ask natural-language questions about any GitHub repository and get context-aware answers powered by vector search.

• Built a Retrieval-Augmented Generation (RAG) pipeline across 4 Spring Boot microservices — API Gateway, Ingest Service, Embedding Service, and Query Service
• Ingest Service clones a GitHub repo, chunks source files, and publishes them asynchronously to Kafka; Embedding Service consumes chunks, generates vectors, and upserts into Qdrant via gRPC
• Query Service embeds the user's question, runs cosine similarity search in Qdrant to retrieve the most relevant code chunks, and synthesizes a contextual answer
• Results cached in Redis (256 MB LRU) to skip redundant embedding calls on repeated queries
• Full infrastructure (Qdrant, Kafka 3.9.1 KRaft, Redis 7) containerized with Docker Compose — no Zookeeper needed

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Tech: Java · Spring Boot · Kafka · Redis · Docker · AWS EC2 · GitHub Actions

• Built 5 Spring Boot microservices behind a Spring Cloud API Gateway with JWT validation and X-User-Id header injection — downstream services never handle raw tokens
• Prevented race conditions using pessimistic locking (SELECT FOR UPDATE) + idempotency keys to eliminate duplicate payments on retries
• Kafka async fan-out via TransactionCompletedEvent; Resilience4j Circuit Breaker opens after 3 failures to prevent cascading failures
• Redis caching (5-min TTL) on wallet balance and user details, invalidated on every write; each service owns an isolated MySQL DB
• GitHub Actions CI/CD — parallel builds, commit-SHA Docker image tags for rollback; deployed live on AWS EC2 (t3.small, Ubuntu 24.04)

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Tech: Java · Spring Boot · Kafka · Redis · Docker · WebSockets

• Handles 1,000+ concurrent users with 0% error rate and <100ms latency — validated via Apache JMeter load testing
• Redis atomic counters for race-free inventory management; Kafka Producer–Consumer decouples order processing, cutting API response time by 90%
• Bucket4j rate limiting prevents overload under burst traffic; WebSockets push real-time inventory updates to connected clients

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June 2024 – August 2024 · Siliguri, West Bengal

• Optimized complex SQL queries, reducing data retrieval latency by 40% for operations reporting modules
• Integrated backend REST APIs across multiple frontend modules
• Built responsive web interfaces using React, HTML, CSS, and JavaScript

• 📧 Email: jhaashish270@gmail.com
• 💼 LinkedIn: linkedin.com/in/ashish-jha-0344a4243
• 🧑‍💻 GitHub: github.com/Ash8389
• 🧠 LeetCode: leetcode.com/u/ashish8389

⭐ Always open to backend and SDE-1 opportunities.