Sangharaj Sasane
Java Backend Developer | Spring Boot | Microservices | REST APIs | NTT DATA
- Role
- Software Engineer at NTT DATA
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Sangharaj Sasane
As a Software Engineer specializing in GenAI and Cloud, I design and build production-ready AI-driven systems using Java, Python, Spring Boot, and cloud-native microservices. I have hands-on experience integrating LLMs, RAG pipelines, LangChain, and Oracle Cloud AI services for chatbots, automation, and intelligent text summarization, delivering measurable efficiency improvements for enterprise solutions.I have successfully developed AI-powered applications and scalable backend platforms, including:SmartWebAI – A Chrome AI assistant leveraging Gemini Nano and Chrome AI APIs for real-time summarization, translation, and content insights.E-Commerce Microservices Platform – Secure, scalable backend with Spring Boot, JWT, MySQL, and React integration.My expertise spans Generative AI, LLMs, AI agents, NLP, cloud deployment (OCI & AWS), microservices architecture, and automation scripting. I am passionate about building innovative AI solutions that bridge software engineering with emerging GenAI technologies, helping businesses drive transformation and operational efficiency.I am actively seeking opportunities to contribute as a Software Engineer with GenAI and Cloud focus, building intelligent, scalable, and next-gen applications.
Experience
Software Engineer
Jul 2023 — Present · Mumbai, IN
Developed and optimized enterprise microservices using Java, Spring Boot, and MySQL, improving scalability and reducing latency by 30%.Built REST APIs and automated backend workflows using Python, reducing manual reporting time by 4+ hours per week.Integrated Oracle Cloud Generative AI Services for text summarization and chatbot automation, enhancing user interaction efficiency.Implemented secure, containerized deployments using Docker and CI/CD pipelines in Agile teams.Explored and prototyped LLM-driven automation for internal tools, applying LangChain and RAG concepts.
Education
Kc college of engineering
Bachelor of Engineering - BE, Computer Science
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