Dev Bhagat

I am an AI and Machine Learning professional with a strong foundation in Python development, data engineering, and building end-to-end intelligent systems. My experience spans backend development, automation pipelines, predictive modeling, and applied machine learning across healthcare, legal, retail, and consumer applications.

I have built scalable APIs using FastAPI and Django, automated complex data workflows with Celery and Cron, and developed machine learning models ranging from CNNs for medical imaging to NLP systems using T5. I enjoy turning raw data into meaningful insights, improving operational efficiency through automation, and delivering solutions that create real business impact.

Some of my key achievements include reducing data delivery cycle time by 60% through automated legal data pipelines, improving backend retrieval speed by 20% using optimized API architectures, and developing an AI-powered cooking assistant using semantic search and contextual conversation management. I also have hands-on experience in visualization, interpretability techniques like Grad-CAM, and integrating machine learning into real products.

I’m passionate about building technologies that solve real-world problems, whether through data engineering, intelligent automation, or ML-driven applications. I bring a mix of analytical thinking, clean engineering practice, and a strong commitment to continuous learning.