May 2025 – Present · 1 yr 1 mo · Bhubaneswar, Odisha, India · On-site

• Lead the AI team, defining technical vision, architecture, and end-to-end AI product development across healthcare and automation domains.
• Architect and deploy production AI systems including transcription engines, intelligent document readers, conversational chatbots, and autonomous web browser agents.
• Developed multiple healthcare AI products from scratch:
• 1.Diabetes prediction models and continuous glucose monitoring (CGM) forecasting using time-series analysis
• 2.Drug-Drug & Drug-Food interaction detection from structured/unstructured clinical data sources
• 3.Clinical intelligence platforms with retrieval-augmented generation (RAG) for context-aware medical insights
• 4.Lab report summarization and clinical text extraction pipelines
• Built autonomous AI agents including appointment scheduling agents and task automation systems, integrating LLMs with tool-use capabilities.
• Engineered multilingual AI solutions to support diverse user bases, ensuring accessibility across language barriers.
• Designed scalable data pipelines, processing and standardizing 600,000+ medical records with deduplication, normalization, and feature engineering for model training.
• Conduct applied AI research, experimenting with state-of-the-art models (LLaMA, MiniLM, Whisper) and techniques (FAISS indexing, prompt engineering, fine-tuning) to solve domain-specific challenges.
• Own the complete ML lifecycle: from research and prototyping to deployment, monitoring, and iterative improvement of AI products.