Headline

Software Engineer @ Mercedes-Benz Research and Development India | Java | Python | Spring Boot | Microservices | Docker | Kubernetes | Microsoft Azure

About

I'm a Software Engineer with 3 years of experience specializing in designing and developing scalable, resilient, and high-performance microservices. My core expertise spans Java, Spring Boot, Python, and Django, and I have hands-on experience with distributed systems, RESTful and event-driven architectures, and cloud-native deployments. At Mercedes-Benz Research & Development India, I’m part of the MeCharge (EV Charging) platform, where I build and optimize microservice-based backend systems, improve API performance and reliability, and automate infrastructure provisioning using Terraform and Azure DevOps CI/CD pipelines. I actively work with Docker, Kubernetes, and Azure Cloud to ensure observability, scalability, and fault tolerance across services. Previously, I built GenAI-powered tools integrating LangChain and RAG pipelines to automate parts of the SDLC — including documentation generation, test case/scripts creation, code generation and project insights. These AI-augmented microservices reduced manual effort and improved developer productivity. I’m deeply interested in end-to-end system design, from backend architecture to infrastructure automation and AI-driven applications. I love exploring agentic AI systems, autonomous workflows, and the intersection of backend engineering with modern GenAI ecosystems.

Location

Bengaluru

AI stack

claude code

github copilot

openai

windsurf

Work experience

Software Engineer - T9 at Mercedes-Benz Research and Development India, Aug 2024 - Present · 2 yrs 2 mos, Bengaluru, Karnataka, India · Hybrid

Graduate Engineering Trainee at Mercedes-Benz Research and Development India, Aug 2023 - Aug 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India · Hybrid

Data Science Intern at Saigeware Technologies, Mar 2023 - Apr 2023 · 2 mos, Bengaluru, Karnataka, India, - Working on hospital data to extract features from patient's eye, palm and PPG signals by using ML libraries. - Writing SQL queries to fetch data from database for analysis and visualization. - Creating pipelines for extracting features from hospital data. - Worked on cumulative patient monitoring dashboard website.

Education

Bachelor of Engineering - BE, Computer Science Engineering, JSS Academy Of Technical Education Karnataka

kendriya vidyalaya