Machine Learning Engineer with a BSc in Artificial Intelligence & Machine Learning and two ML internships —
building a fraud-detection pipeline at DecodeLabs and content-ranking ML workflows at FlyRank. Strong in Python,
supervised learning, and exploratory data analysis, backed by a portfolio of deployed AI and full-stack products
spanning civic tech, multi-agent LLM tooling, and voice AI. Comfortable owning problems independently and
collaborating remotely with distributed teams.
TECHNICAL SKILLS
Programming Languages: Python, SQL, JavaScript (basic), C, Java
AI / ML: Supervised & Unsupervised Learning, Classification (Logistic Regression, Random Forest), Cross-Validation,
GridSearchCV, Handling Imbalanced Datasets (SMOTE), Neural Networks, scikit-learn, imbalanced-learn, TensorFlow
(fundamentals), PyTorch (fundamentals)
Data & Analytics: Pandas, NumPy, Matplotlib, Jupyter Notebooks, Feature Engineering, Data Cleaning
Tools & Platforms: Git & GitHub, VS Code, Google Colab
Databases: MySQL, SQLite
Soft Skills: Analytical Thinking, Teamwork, Communication, Adaptability