Sanjay B T

Machine Learning and Generative AI Engineer with 3+ years of hands-on experience building, optimizing, and deploying production-grade AI systems. Strong expertise in LLMs, NLP, Computer Vision, and Cloud-native AI pipelines. Proven ability to design scalable architectures using Python, PyTorch, LangChain, Vertex AI, Azure OpenAI, and deliver reliable AI solutions across enterprise and edge environments.

AI/ML Engineer at Cognizant (Present)

• Designed and deployed an enterprise-grade GenAI chatbot using Vertex AI, enabling automated and personalized customer support.
• Built LangChain-powered multi-agent workflows combining retrieval, reasoning, and response generation for higher accuracy.
• Implemented prompt optimization, context management, and response validation to improve reliability of LLM outputs.
• Developed an AI-driven technical interview platform with automated question generation and answer evaluation.
• Integrated Azure OpenAI (GPT models) with rubric-based scoring and structured feedback generation.
• Designed a secure multi-tenant architecture using Streamlit and SQLAlchemy with role-based access control.

AI/ML Engineer at Dimaag AI

• Built real-time deep learning models for autonomous driving, focusing on drivable-area segmentation.
• Optimized inference pipelines for low-latency, high-FPS edge deployment on NVIDIA Jetson devices.
• Applied model compression and performance tuning techniques for production-ready deployment.

Consultant – AI/ML Engineer at Dimaag AI

• Developed anomaly detection solutions using 3D AXI semiconductor inspection data.
• Improved manufacturing quality pipelines through deep learning-based defect detection.

AI Intern at AI Variant

• Developed an LLM-powered medical chatbot for symptom analysis and recommendation generation.
• Integrated domain knowledge bases and designed user-friendly conversational interfaces.

Postgraduate Program in Data Science & Analytics – ExcelR Solutions

Bachelor of Engineering – Malnad College of Engineering