Muhammad Sahil

Background

About Muhammad Sahil

Machine Learning Engineer | Gen AI & Multi Agentic Workflows Specialist | Building Scalable AI Solutions I'm a Machine Learning Engineer with over 4 years of hands-on experience, passionate about turning complex challenges into practical, scalable solutions. I have experience with Generative AI and multimodal systems—Experimenting with open-source models like Llama, Phi, Qwen, DeepSeek, and Gemma and integrating closed src models like GPT-4 using frameworks such as LangChain and CrewAI. Over the years, I've been involved in every stage of the development process. I enjoy brainstorming ideas, building robust ML pipelines with tools like PyTorch & Tensorflow, and deploying models on cloud platforms such as AWS SageMaker and Azure ML. My projects have ranged from natural language processing solutions (using BERT, Transformers, and LSTMs) to computer vision applications built with OpenCV and ResNet, serving industries from healthcare to fintech. I also have a strong background in building scalable infrastructure using FastAPI, Flask, Docker, and Kubernetes. On the technical side, I work primarily in Python (with C++ and Bash), and I'm comfortable with libraries like Pandas, Scikit-learn, and NumPy. I also have experience with Docker, and managing databases (SQL like MySQL/PostgreSQL and vector databases like Pinecone and FAISS). I'm driven by the challenge of translating complex algorithms into real-world solutions that make a difference. I’m always excited to connect with teams or individuals who are eager to push the boundaries of AI—whether at innovative startups or established tech companies.