Aditya Satish Birkodi
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.
Experience
Software Development Engineer
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.
Intern
TATA ELXSI
Bengaluru, India
Developed a real-time data analysis platform using Web Sockets and Postgre SQL. Generated insights on gender, ethnicity, location, and TV channel distributions. Co-developed a scalable device management system using Node. js, Mongo DB, and MQTT.
Education
Shri Dharmasthala Manjunatheshwara College of Engineering and Technology
Bachelor of Engineering
CGPA: 8.55/10
Karkala Jnanasudha Pre University College, Udupi
Class XII
Percentage: 94.16%
Balmandir High School, Karwar
Class X
Percentage: 94.40%
Skills
PythonC/C++JavaJavaScriptSQLFastAPINode.jsREST APIsMicroservicesPostgreMongoDBRAGLLMsLangChainNLP PipelinesQdrantOllama
Projects
RAG Knowledge System
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.
Languages
English
IELTS Band 7