Senior AI Engineer | LLM, Computer Vision & RAG Expert | 5+ Years Exp

Deep Learning Frameworks: Proficient in PyTorch and TensorFlow for building, training, and optimizing complex neural networks.

Large Language Models (LLMs): Extensive experience in LLM fine-tuning, Prompt Engineering, and building RAG (Retrieval-Augmented Generation) systems using LangChain and LlamaIndex.

Computer Vision: Skilled in object detection, segmentation, and classification using OpenCV and state-of-the-art models like YOLO and Transformers.

Vector Databases: Implementation of high-performance similarity search using Pinecone, Milvus, or Weaviate.

Data Processing: Expert in Python (Pandas, NumPy) for data cleaning, feature engineering, and large-scale data analysis.

MLOps & Deployment: Building and deploying scalable AI services using FastAPI, Docker, and Kubernetes on cloud platforms (AWS/GCP).

Industry Knowledge: Worked across sectors including FinTech, E-commerce, and Healthcare, delivering AI solutions that improve operational efficiency.

Notable Achievement: Successfully architected an AI-driven recommendation engine that increased user engagement by 25% for a high-traffic retail platform.

Research to Production: Proven ability to translate academic research papers into production-ready code that meets rigorous performance latency requirements.