🚀 Freelance Java Backend / Full-Stack Developer
💼 Building scalable backend systems, AI-powered platforms & cloud-ready applications

I help startups, businesses, and teams design, build, and scale backend-heavy applications using Java, Spring Boot, Microservices, Cloud, and AI integrations.

If you need someone who can own complex features end-to-end, handle backend + system design, and deliver production-ready solutions, you’re in the right place.

• 🔐 Authentication & Authorization Systems
• 🚦 Feature Flag & Experimentation Platforms
• 📄 AI-powered Document Processing Systems
• 📦 Backend APIs (Spring Boot, REST)
• ⚡ High-performance Microservices
• 📬 Event-Driven Systems (Kafka)
• ☁️ Dockerized & Kubernetes-ready Applications
• 🔄 Monolith → Microservices Migration
• 🧪 Testing, Code Quality & CI/CD Setup

I focus on business impact, scalability, and long-term maintainability.

✅ Strong backend fundamentals (Java + Spring ecosystem)
✅ Experience building real production systems, not demos
✅ Comfortable owning features from design → deployment
✅ Security, performance, and clean architecture first
✅ Clear communication & reliable delivery

• Java
• Spring Boot, Spring MVC
• Spring Security (JWT, OAuth2)
• Hibernate / JPA

• JavaScript
• Vue.js / React

• PostgreSQL
• MySQL
• Redis

• Apache Kafka

• Docker
• Kubernetes
• Jenkins (CI/CD)
• Git / GitHub

• JUnit
• Mockito
• SonarQube
• Prometheus
• Grafana

Use Case: Lawyers, professionals, and businesses handling large volumes of documents

What It Does:

• Users can upload multiple documents (legal, business, or general)
• Backend AI processes and analyzes documents
• Automatically extracts key insights, summaries, and filtered information
• Acts as a central document intelligence hub

Key Highlights:

• Backend-driven AI processing
• Secure document handling
• Scalable architecture for multiple users
• Designed for law firms, consultants, and SaaS use cases

👉 This project demonstrates my ability to combine backend engineering + AI integration + real business use cases.

Problem: Feature releases required redeployment
Solution:

• Built a dynamic feature flag system
• User segmentation using Redis bitwise operations
• Instant enable/disable without downtime

Impact: Faster releases, safer rollouts, better experimentation

• Kafka-based event processing
• Email & SMS notifications
• Retry mechanism using Redis
• Observability via Prometheus & Grafana

• JWT-based authentication
• Role-based access control (RBAC)
• Secure REST APIs using Spring Security

1. Understand your business problem
2. Propose a clean & scalable backend design
3. Build with production-grade standards
4. Add testing, monitoring & documentation
5. Deliver on time with transparency

• ✅ Java / Spring Boot Backend Development
• ✅ AI-powered backend systems
• ✅ Microservices & System Design
• ✅ API Development & Integrations
• ✅ Short-term & Long-term Contracts

📩 Contact Me

• **Email: sakshi.chitnis23@gmail.com
• *LinkedIn: https://www.linkedin.com/in/sakshi-chitnis-0333881ab/ )

⭐ Explore my repositories to see real, production-style code.
If you’re looking for someone who can build scalable systems and AI-backed platforms, let’s connect.