About me
I'm a Python developer and data scientist who enjoys the whole journey a dataset takes — from messy raw rows to a model or product someone actually uses. I like the puzzle of it: figuring out what a dataset is trying to tell you, then building something reliable around that answer.
That's shown up in different forms — a stock-price model built to be honest about what it doesn't know, a chatbot designed to respond safely and supportively, a healthcare tool that explains its own predictions. I care as much about the plumbing — clean error handling, sensible pipelines, code that doesn't fall over — as I do about the model itself.
Right now I'm putting that into practice as a Data Engineer Intern at PS8 Network, working hands-on with real production data.
What I work on
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Data & ML modelling
Cleaning, feature engineering, and building models with Pandas, NumPy, SciPy, and Scikit-learn.
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Deep learning & CV
CNNs, transfer learning, and explainability with TensorFlow/Keras — medical imaging to emotion recognition.
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LLM & NLP apps
Sentiment analysis, chatbots, and LLM-powered tools built on Groq/LLaMA with safety in mind.
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Backend & data engineering
APIs and pipelines with Flask, FastAPI, Django, MySQL, and PostgreSQL — now applied daily at PS8 Network.