A.Hamza

AI & Machine Learning

techxaone.com • Vollzeit

Sep 2026 - Present • 1 mo

I run and work as the lead AI & Machine Learning engineer at Techxaone - my own software house focused on delivering intelligent Python solutions to clients worldwide. At Techxaone, I handle the complete AI project lifecycle: understanding client requirements, collecting and cleaning data, building and training ML/DL models, and deploying them as web apps or APIs. What I can work: • Custom Machine Learning models for prediction, classification and forecasting • Deep Learning solutions using TensorFlow, PyTorch and Keras • AI Chatbots and LLM-powered apps with OpenAI and LangChain • Computer Vision projects with OpenCV and YOLO • Data analysis, dashboards and automation scripts in Python • Deployment via Flask, FastAPI and Streamlit As the founder, I personally ensure every project meets a high standard - clean code, clear documentation, and on-time delivery. This is the same quality I bring to every Fiverr client.

Senior AI Developer

CodyMentor Web • Vollzeit

Jan 2026 - Present • 9 mos

As a Senior AI Developer at Cody Mentor Software House, I design and build production-grade AI and Machine Learning solutions for clients across multiple industries including healthcare, fintech, e-commerce and education. My core responsibilities include: • Architecting end-to-end ML pipelines — from data collection and cleaning to model training, evaluation and deployment • Building deep learning models using TensorFlow, Keras and PyTorch for computer vision, NLP and time-series forecasting tasks • Developing AI chatbots and LLM-powered applications using OpenAI API, LangChain and vector databases (FAISS, Pinecone) • Deploying models as REST APIs with Flask and FastAPI, and building interactive dashboards with Streamlit • Leading a small team of junior developers — code reviews, architecture decisions and mentoring • Collaborating directly with international clients to translate business problems into technical solutions Key achievements: Delivered 5+ production ML models with an average accuracy improvement of 18% over baseline Built a customer churn prediction system that helped a SaaS client reduce churn by 22% Reduced model deployment time by 60% by standardizing MLOps pipeline Tech stack I work with daily: Python, Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, Pandas, NumPy, OpenCV, NLTK, SpaCy, LangChain, OpenAI API, Flask, FastAPI, Streamlit, Docker, Git, SQL, MongoDB. I'm passionate about turning messy real-world data into intelligent, scalable systems that deliver measurable business value.