Guraja Jayachandra
Backend Engineer • g**************@gmail.com • +91*******697 • drivetube.ai/•••••
Professional Summary
Backend Engineer with 0 years of experience building Java Spring Boot microservices and AI-enabled backend systems. Developed end-to-end microservices, REST APIs, and AI-driven personalization and real-time analytics prototypes using Java, Spring Boot, Docker, Kafka and cloud deployment. Seeking an entry-level backend/SWE role where I can apply microservices, event-driven architectures and ML-driven features to deliver scalable, secure systems.
Technical Skills
Programming Languages: Java,JavaScript
Web Technologies: REST APIs
Frameworks and Libraries: Spring Boot,Spring Security,Spring AI,Microservices,Hibernate
Databases: SQL,PostgreSQL,MongoDB
Cloud and DevOps: Docker,CI,CD Pipelines,GitHub Actions,Cloud Deployment AWS-compatible
Data and Analytics: Personalization,Recommendation Systems,NLP
Tools and Methodologies: Git,Postman
Messaging & Streaming: Apache Kafka,Event-Driven Architecture
Authentication & Security: JWT Authentication,RBAC,Secure API Design
Work Experience
AICTE & 1M1B (Salesforce Support Program)
AI Intern
May 2025 – Jun 2025
Participated in an AICTE & 1M1B supported skilling program building an AI chatbot to educate users about renewable energy.
Tech Stack: Dialogflow, JavaScript, HTML5, CSS3, NLP
- Architected and implemented a Dialogflow-based AI chatbot to educate users on renewable energy; designed intents, entities and conversation flows to map domain queries to precise responses.
- Developed frontend integration using HTML5, CSS3 and JavaScript to host the chatbot, enabling responsive, interactive user sessions and smooth fulfillment communication.
- Implemented NLP intent recognition and custom entity extraction in Dialogflow to improve interaction accuracy and reduce misclassification during pilot testing.
- Built webhook-based fulfillment to connect Dialogflow with backend logic and external knowledge sources, enabling dynamic, context-aware answers.
- Managed end-to-end project lifecycle from requirements gathering and conversational design to testing and deployment on a cloud VM, ensuring production readiness.
- Prepared technical documentation and delivered demos to program stakeholders; incorporated feedback to refine dialog flows and UX for non-technical users.
Projects
AI-Powered Personalization Engine with Microservices Backend | Mar 2024 – Apr 2024
Tools Used: Java 17, Spring Boot, Spring Cloud, Spring AI, Redis, JWT, Docker, GitHub Actions
- Designed and decomposed a monolithic content system into Spring Boot microservices (user, feed, recommendation, notification) communicating over REST with service discovery.
- Built an AI-driven feed ranking pipeline that scored and re-ranked content in real time using user behavior signals (clicks, dwell time), reducing irrelevant feed items in A/B simulation.
- Implemented stateless REST APIs with cursor-based pagination and Redis caching on hot feed endpoints, lowering average API latency from 320ms to under 80ms under simulated concurrent load.
- Secured services using Spring Security with JWT authentication, RBAC across three permission tiers, and implemented token refresh rotation to protect all secured endpoints.
- Containerized microservices using Docker and created a GitHub Actions CI/CD workflow to run tests, build images and deploy to a cloud VM, achieving fast automated deployment cycles.
Real-Time Financial Intelligence Platform with Event-Driven Backend (Finlatics) | Jun 2024 – Jul 2024
Tools Used: Java, Spring Boot, Apache Kafka, PostgreSQL, MongoDB, Hibernate, Spring Security, Docker, GitHub Actions
- Architected a real-time financial analytics platform using Spring Boot microservices with Kafka as the event backbone to asynchronously process transaction events.
- Implemented a dual persistence strategy: PostgreSQL for transactional ACID records and MongoDB for flexible analytics documents to support fast analytical queries.
- Used Hibernate/JPA for ORM, applied lazy loading and query tuning to eliminate N+1 issues across 12 core entities and maintain transactional integrity.
- Secured the platform with Spring Security and JWT, implemented field-level masking for financial PII and enforced HTTPS API contracts for data protection.
- Automated build-test-deploy using Docker multi-stage builds and GitHub Actions to reduce image size by ~60% and ensure repeatable cloud deployments.
Education
Pragati Engineering College
Bachelor of Engineering (Senior Undergraduate)
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