Headline

Full Stack AI Engineer | Agentic AI · RAG · LLMs | Java · Spring Boot · React · Python | AWS | Open to Opportunities

About

I build intelligent, full-stack systems where AI meets production-grade engineering. Currently at Philips, I develop end-to-end healthcare solutions — from robust Java/Spring Boot microservices and RESTful APIs on AWS, to AI-powered features using Retrieval-Augmented Generation (RAG), Agentic AI, and Model Context Protocol (MCP). I bridge the gap between backend reliability and cutting-edge AI, ensuring systems are scalable, cloud-ready, and genuinely useful. What I bring to the table: AI/ML: RAG pipelines, Agentic AI workflows, LLM integration, MCP, Generative AI (Python, LangChain) Full Stack: React (frontend) · Java, Spring Boot, Microservices (backend) · PostgreSQL Cloud: AWS (Academy Certified) · Azure · CI/CD automation (30% deployment time reduction) Prior: GenAI prototyping at Samsung R&D — ML models for embedded systems, TensorFlow I transitioned from intern to full-time at Philips based on performance — and I bring that same ownership mindset to every product I touch. Currently exploring roles in Full Stack AI Engineering, AI/Backend Development, or GenAI Product Engineering — where I can build systems that are not just functional, but forward-thinking. Open to connect: virat.srivastava.dev@gmail.com

Location

Chennai

AI stack

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Work experience

Software Developer at Philips, Jul 2024 - Present · 2 yrs 2 mos, Chennai, Tamil Nadu, India, - Developed and maintained scalable web applications using Java, Spring Framework, and PostgreSQL for healthcare solutions. - Implemented RESTful APIs and microservices, enhancing interoperability across cloud platforms (AWS, Azure). - Collaborated with cross-functional teams to deliver AI-powered features, improving patient data analytics. - Automated CI/CD pipelines, reducing deployment time by 30%. - Transitioned from intern to full-time developer based on high performance and initiative.

Software Developer at Philips, Jan 2024 - Jul 2024 · 7 mos, Chennai

Project Intern at Samsung R&D Institute India, Feb 2023 - Jan 2024 · 1 yr, Bengaluru, Karnataka, India, - Contributed to R&D projects focused on machine learning model development for embedded systems. - Prototyped Generative AI solutions, leveraging Python, TensorFlow, and cloud infrastructure. - Presented findings and technical demos to senior engineering teams. - Enhanced team productivity by streamlining data preprocessing workflows.

Education

B.Tech, Computer Science, SRM IST Chennai

12th ISC, Dr. Virendra Swarup Education Centre