
Muhammad Atif
AI Engineer or Python Developer
Skills

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Werkervaring
Python Developer
Coder Crew • Parttime
Feb 2025 - Present • 1 yr 8 mos
Backend API Development: Developed and maintained RESTful APIs for a SaaS real estate platform using Django and FastAPI, including secure authentication and user management with JWT (Python-JOSE). AI Model Training & Deployment: Trained and deployed a YOLOv8 computer vision model for image detection tasks. Utilized Roboflow for dataset annotation and management, and leveraged Grounding DINO and SAM (Segment Anything Model) to develop and experiment with automated labeling and segmentation workflows for enhanced data efficiency. Database Management: Managed PostgreSQL databases using Alembic migrations and SQLAlchemy ORM; wrote optimized raw SQL queries for better performance. Vector Databases: Integrated vector databases (Weaviate, Pinecone, Chroma) to support AI features like semantic search and recommendation. Collaboration & Agile: Participated in Agile sprints, daily stand-ups, and code reviews; contributed to technical documentation ensuring maintainable and scalable backend solutions. Web Scraping & Automation: Developed automated data extraction pipelines using BeautifulSoup and Playwright, enabling efficient web scraping, structured data collection, and preprocessing for AI and analytics workflows.
Software Engineer AI/ML
Maverick • Fulltime
Feb 2019 - Jul 2025 • 6 yrs 5 mos
AI Agent & Chatbot Development: Developed advanced AI agents using LangChain, LangSmith, and LLM orchestration. Built voice/chat agents tailored to user behavior and context. Deployed AI agents as production-ready Flask/FastAPI APIs for smooth frontend integration. Machine Learning & Deep Learning: Built and trained ML/DL models using TensorFlow, PyTorch, and Scikit-learn. Performed data preprocessing with Pandas/NumPy and optimized pipelines for accuracy and performance. LLM & RAG Solutions: Implemented Retrieval-Augmented Generation systems using Pinecone, Weaviate, and Chroma. Added embeddings, custom retrievers, and document loaders for high-accuracy AI answers. Backend Development: Built secure, scalable REST APIs with FastAPI, Flask, and Django. Implemented JWT auth (Python-JOSE), Pydantic validation, and modular architectures. Database & Migrations: Managed PostgreSQL using SQLAlchemy and Alembic. Wrote optimized SQL queries and integrated vector databases for AI search and retrieval. Client Communication & Project Closing: Joined client meetings to explain AI architectures, propose solutions, and answer technical questions helping win and close multiple projects. Documentation & Reporting: Created clean documentation, API references, and ML model performance reports for teams and clients. Problem-Solving & Coding Challenges: Solved data-structure and algorithm problems to write clean, optimized Python solutions. Continuous Learning & Certifications: Completed training in ML, Reinforcement Learning (AWS DeepRacer), and Generative AI with AWS to stay updated with modern AI advancements.