Enthusiastic computer science graduate with a strong backend development background, currently working in the healthcare domain on AI-driven systems. Actively focused on learning and applying artificial intelligence, LLM-based architectures, and machine learning to real-world healthcare problems, with experience in building scalable, production-grade backend services.
Teslon Technologies Pvt. Ltd.
Bengaluru, India
Designed and implemented a scalable backend system for healthcare data processing and AI inference. Built FastAPI services for speech-to-text (STT), text-to-speech (TTS), and structured prescription parsing. Integrated Vision Transformer models for prescription image understanding and OCR workflows. Deployed and optimized local LLM inference using Ollama for domain-specific language tasks. Developed task-specific AI agents to automate and assist user registration workflows.
TATA ELXSI
Bengaluru, India
Developed a real-time data analysis platform using WebSockets and PostgreSQL. Generated insights on gender, ethnicity, location, and TV channel distributions. Co-developed a scalable device management system using Node.js, MongoDB, and MQTT.
Bachelor of Engineering
CGPA: 8.55/10
Class XII
Percentage: 94.16%
Class X
Percentage: 94.40%
Built a modular RAG system with document ingestion pipelines including preprocessing, chunking, embeddings, and indexing. Implemented hybrid retrieval combining semantic search and keyword ranking using Qdrant and PostgreSQL. Designed query pipeline with retrieval, reranking, context compression, and LLM-based response generation. Integrated local LLM inference using Ollama and exposed scalable FastAPI endpoints for end-to-end workflows.
IELTS Band 7