Adam Malinowski, Data Scientist/ML Engineer
C2 (Proficiency) English
Expert (10+ years)
Karlino,
Poland
Summary
Engineer with 10+ years’ experience in AI, excelling in NLP, GenAI, computer vision, and model deployment. Expertise in Python, SQL, PySpark, and cloud platforms. Established record of enhancing AI-driven services, improving workflows, and boosting efficiency. Proven capabilities in developing robust ML pipelines, integrating state-of-the-art technologies like LLMs and RAG pipelines, and delivering solutions across diverse industries. Advanced in web and full-stack development, data engineering, analysis, and DevOps practices, underpinned by solid formal education in computer science.
Main Skills
AI & Machine Learning
Programming Languages
UI Frameworks, Libraries, and Browsers
Python Libraries and Tools
Data Analysis and Visualization Technologies
Databases & Management Systems / ORM
Azure Cloud Services
Google Cloud Platform
Deployment, CI/CD & Administration
Methodologies, Paradigms and Patterns
Virtualization, Containers and Orchestration
Version Control
Platforms
Message/Queue/Task Brokers
SDK / API and Integrations
Other Technical Skills
Work Experience
GenAI / LLM Developer, GenAI/LLM Development
Duration: Feb 2024 – Present
Summary: Built LangChain agents with guardrails, retries, and n8n orchestration, significantly reducing hallucinations and improving workflow automation.
Responsibilities: Developing LangChain agents, integrating LangGraph flows and serverless solutions for document processing and summarization, and monitoring GenAI model performances with interactive analytics.
Technologies: LangChain, LlamaIndex, OpenAI GPT-4, Hugging Face, PyTorch, AWS Lambda, S3, Step Functions, Power BI, Snowflake, n8n
ML Engineer, Machine Learning Engineering
Duration: Apr 2020 – Feb 2024
Summary: Developed retrieval augmented generation pipelines and cloud-native pipelines for real-time document processing, enabling significant improvements in chatbot accuracy and AI access.
Responsibilities: Designing RAG pipelines, building Telegram bots, fine-tuning language models, orchestrating CI/CD workflows, and deploying OCR and face recognition systems.
Technologies: Pinecone, Claude 2, Vertex AI, BigQuery, Docker, Flask, Django, Terraform, GitHub Actions, TensorFlow/Keras, BERT, FAISS, YOLOv7, CRNN, MobileBERT, OpenCV, Dlib, React, TypeScript, Elasticsearch, Gradio, Streamlit, Power BI, ELK, Prometheus, Grafana
Data Scientist, Data Science
Duration: Oct 2015 – Apr 2020
Summary: Analyzed large volumes of customer data for actionable insights, built ML models for prediction and segmentation, and developed ETL pipelines to support scalable real-time analytics.
Responsibilities: Conducting data analysis and predictive modeling, developing sentiment analysis models, and building scalable ETL pipelines in collaboration with product and engineering teams.
Technologies: SQL, R, Excel, Scikit-learn, Pandas, NumPy, Matplotlib, PySpark, Apache Spark, BigQuery, NLTK, SpaCy, AWS SageMaker, XGBoost, Plotly, Seaborn, Tableau
Education
- BSc Computer Science
- 2010 – 2014
- MSc Computer Science
- 2014 – 2015