Experience
Dec 2023 - Present
2 years
- AI Engineer Pytorch, TensorFlow, LLMs, Hugging Face, OpenAI, Blockchain
- Identify business problems that can be addressed with AI/ML solutions
- Collect, clean, preprocess, and transform data (structured & unstructured)
- Integrate/deploy AI/ML models into production environments (APIs/microservices, serverless, cloud platforms)
- Stay up to date with latest research, tools, frameworks, and algorithms; prototype or experiment with new approaches
Aug 2023 - Oct 2023
3 months
- Data science and business analytics: Python, Pandas, NumPy, HTML, Git, GitHub, Docker, Linux
- Collect, clean, preprocess, and integrate data from various internal and external sources
- Perform exploratory data analysis (EDA) to find trends, patterns, anomalies, and summarise data insights
- Perform predictive modeling and trend analysis to support data-driven decision making
- Build, train, and tune machine learning models (supervised/unsupervised) using Python/R (scikit-learn, etc.)