I am an AI Engineer specializing in Large Language Models (LLMs), Machine Learning, and Deep Learning, with over 3 years of hands-on experience designing and deploying real-world AI solutions.
My expertise spans a wide range of machine learning applications, including natural language processing, computer vision, and predictive analytics. I build robust, end to end systems from data ingestion and preprocessing to model training, optimization, and deployment in production environments. My work has directly contributed to advancements in medical diagnostics, academic research tools, and industrial automation by integrating intelligent systems that are both scalable and reliable.
I focus on delivering tailored, high-impact solutions that solve complex business problems through innovation, deep technical rigor, and strategic deployment.
Here is what I can offer:
- End to end AI development experience from data collection and preprocessing to model training, evaluation, and deployment
- Scalable and maintainable MLOps workflows
- Hands-on expertise in building and deploying Large Language Models (LLMs) and RAG pipelines
Core Tools and Frameworks I Work With
✔️Programming & AI: Python, Hugging Face, Transformers, LangChain, OpenAI API
✔️Web & API Development: FastAPI, Flask, REST APIs, Docker, Git
✔️Computer Vision & Deep Learning: OpenCV, YOLOv8, GANs, PyTorch, TensorFlow
✔️Vector Databases: FAISS, ChromaDB, Weaviate
✔️Cloud & MLOps: Git CI/CD, MLflow, Microsoft Azure, scalable model deployment and monitoring tools
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