Personal details
karan S.
Summary
I am an AI Engineer with 8+ years of experience in full-stack development, CI/CD, Containerization (docker) and Orchestration (k8n), Building Deep learning models, Fine-tuning LLM models, and building AI-driven agentic systems (AI apps and automation).
Work Experience
• Developed a comprehensive full-stack AI application using Next.js, ensuring smooth project delivery through a streamlined CI/CD pipeline with GitHub Actions, Docker, and Kubernetes (K8n).
• Build an AI agent to talk to a Postgresql database in natural language for CRUD operations using LLMs as function blocks.
• Used Self-hosted and finetuned Open-Source LLM using PyTorch to work on sensitive data (Medical) while handling data in a secure data pipeline (encryption).
• Implemented advanced Retrieval-Augmented Generation methods, enhancing embedding retrieval accuracy to 94%.
• Authored extensive testing using PyTest, covering unit tests, integration tests (Stripe API), validation of FastAPI endpoints, and CRUD operations to maintain high code quality and ensure robust system functionality.
• Created AI-driven agentic systems using LLM from MixtralAI and OpenAI, enhanced with CrewAI/Autogen for automating business processes, including customer support, appointment booking, and lead qualification.
• Achieved 80% tracking accuracy on the MOT20 dataset using advanced Vision Transformers using PyTorch.
• Enhanced object tracking and detection by reducing ID switching errors by 15% using a mix of deep learning models like CNN, YOLO, and VIT (vision transformer)
• Optimized the neural network, achieving a 30% reduction in size through efficient pruning and knowledge distillation.
• Streamlined and containerized key ROS2 modules, including Nvidia’s Nvblox and V-SLAM, for improved target detection and localization.