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Turning ideas into
scalable software.

I build modern backend systems that combine AI, automation, and cloud technologies to create reliable software products.

Whether it's designing distributed architectures, integrating LLMs, or building APIs from scratch, I enjoy solving challenging engineering problems with clean and scalable solutions.

Core Capabilities

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    Backend Engineering Scalable APIs, clean architecture, authentication, and distributed system design
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    Artificial Intelligence LLMs, LangGraph agents, RAG, computer vision, and workflow automation
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    Cloud Infrastructure Docker, Redis, PostgreSQL, CI/CD, cloud deployment, and performance optimisation

Select Experience

AI/ML Engineering Intern

May 2026 – Aug 2026

Infosys Springboard

  • Built an AI-powered sports injury detection platform using FastAPI, MediaPipe, and OpenCV, delivering real-time risk assessment and corrective recommendations.
  • Developed scalable backend architecture with PostgreSQL, Redis, Celery, Docker, WebSockets, and Elasticsearch, enabling secure and high-performance applications.
  • Implemented enterprise-grade infrastructure including JWT, Google OAuth, RBAC, API rate limiting, and automated GitHub Actions CI/CD pipelines for production-ready deployment.