am an AI Developer and Data Scientist with a strong background in machine learning, deep learning, and full-stack AI systems. I hold a B.Sc in Information Technology and have hands-on industry experience working as a Machine Learning Intern at Feynn Labs and as an AI Developer at Arkham Archives, where I built and deployed LLM-based applications.
I specialize in building intelligent products using Python, FastAPI, ML models, and modern AI pipelines. My work includes demand forecasting systems, recommendation engines, NLP pipelines, computer vision models, and real-time AI applications. I have built and deployed multiple production-ready projects such as fraud detection systems, heart disease prediction, customer feedback analysis, time-series forecasting models, and AI-powered web apps using Streamlit and APIs.
I am highly skilled in data science, time series analysis, predictive modeling (ARIMA, SARIMA, LSTM, Prophet), deep learning, and LLM workflows. I also have experience integrating AI models into real business platforms, building dashboards, and delivering scalable backend services.
What makes me stand out is that I don’t just build models — I build complete AI products that clients can actually use. I understand both the technical and business sides of AI, which allows me to deliver solutions that generate real value.
I am looking to work with clients who want reliable, high-quality AI systems, automation, data analytics, and intelligent software built by a serious professional.
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