Hi, I'm Tina 👋

I’m a 🇨🇦-based Generative AI / LLM Engineer and Data Scientist with experience across EdTech, Marketing, Music, and Gaming industries.

I’m most in my element when solving intricate data problems, building safe, friendly, and resilient systems — and helping people grow. 💜

Always open to new ideas, teams, and collaborations — if something I’ve shared resonates, please don’t hesitate to reach out!

Summary & Professional Highlights

• Data Scientist with 6+ years of experience spanning analytics, engineering, generative AI, and LLMs — with a focus on revenue optimization, growth strategy, fraud detection, and user behavior modeling.
• Third-party contractor for Google (YouTube & Google Search — Czechia Ad Safety and Moderation) and Apple (Apple Music Canada — Recommender annotation, evaluation, and editorial review).
• Contributed to the deployment of a production-grade automotive voice assistant (NLP/NLU) for the Slovak market.
• Early-career founder in the education sector, with 5+ years of successful operations and leadership.
• With 10+ years of combined experience, I now support YC-backed founders, CEOs, and CTOs with data strategy, modeling, and infrastructure.
• Data mentor at Kaggle, Pathrise (YC W18), and BloomTech (YC S17); where the goal is never just data work — but making smarter, more truthful decisions, and building safe, friendly, and resilient systems that hold up in production. 🩵

Projects & Communities

Selected case studies and experiments coming soon — many involve LLMs, growth analytics, and real-world deployments.

You can find me on Kaggle, at kovacova.ca, or connect with me on LinkedIn.

Technical Skills and Expertise

Languages & Core Skills:
Python, SQL, JavaScript, JSGF, HTML, CSS

Generative AI & LLMs:
OpenAI, Google & Anthropic APIs, LangChain, RAG, Prompt Engineering, Fine-Tuning (LoRA, QLoRA, PEFT), Vector DBs, Model Customization & Evaluation, Agents, Multi-Chain / MCP Tool Use

Machine & Deep Learning:
Transformers, LLMs, Supervised & Unsupervised Learning, Neural Networks (CNNs, RNNs), NLP & NLU, Computer Vision
(Hugging Face, Kaggle Models, TensorFlow, Keras, PyTorch)

Cloud & Infrastructure:
AWS (SageMaker, Redshift, RDS, Lambda, S3, EC2, Amplify, EMR, Route 53),
Google Cloud (Vertex AI, BigQuery, Cloud SQL), Docker, Anaconda

Data Engineering & Frameworks:
PySpark, dbt, Django, Flask, React

Dashboards & Data Visualization:
Metabase, Tableau, Looker, Plotly

Creative & Tools:
Adobe Photoshop & InDesign