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@sirpoopy
Data scientist and machine learning engineer focused on production ML, time-series forecasting, and NLP solutions.
I am a data scientist and machine learning engineer with over two years of hands-on experience building production-ready ML systems and models that deliver measurable business impact.
I have optimized routine workflows by automating emotion detection in voice, reduced forecasting MAE for a 98-restaurant chain, and developed scheduling and churn-prediction models with strong performance metrics.
At my current role I design and deploy RAG Q&A systems, YOLO-based logo detection, text and voice emotion recognition, text-to-speech interview avatars, and optimized FastAPI services for GPU inference, plus practical tooling for labeling and CI.
I hold multiple relevant certifications (including a Machine Learning Engineer Junior certification), am pursuing a degree in Mathematics and Physics, and bring strong engineering skills in Python, PyTorch/TensorFlow, Docker, MLflow, and data engineering tools to solve production ML challenges.
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Work history, roles, and key accomplishments
Web-bee
Jan 2023 - Present (2 years 10 months)
Developed and deployed ML solutions including RAG Q&A systems, voice emotion recognition, YOLO-based logo detection, text-to-speech interview avatar, and production optimizations that improved API performance 3x and automated multiple annotation workflows.
Independent
Jan 2019 - Dec 2022 (3 years 11 months)
Designed and built computer games using C# from 2019–2022, implementing game logic, server/database for realtime bots, and tools to support gameplay and monetization decisions.
Degrees, certifications, and relevant coursework
Mathematics and Physics
Pursuing a degree in Mathematics and Physics at The Open University.
Certificate, Machine Learning
2022 - 2024
Completed the Machine Learning Engineer Junior certification program (2022–2024).
Certificate, Machine Learning / Data Science
Completed multiple online courses including Deep Learning for Email Classification, MLflow experiment tracking, climate change analysis, time series analysis, and prompt engineering.
Software and tools used professionally
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