Available to hire
I am a dynamic and versatile Data Scientist and ML/AI Engineer with a unique blend of academic rigor and industry impact. With over a decade of experience spanning machine learning, data analysis, LLM development, and engineering education, I thrive at the intersection of cutting-edge AI systems and real-world applications. From enhancing Google’s Gemini model with agentic AI workflows to decoding vehicle sensor data at Volvo Trucks, my work bridges deep technical expertise with actionable insights. I bring hands-on proficiency in ML/DL, NLP, and Computer Vision, and have contributed to projects involving Power BI dashboards, RAG pipelines, and large-scale model fine-tuning. My career is driven by curiosity, creativity, and a passion for solving complex problems that deliver measurable results.
Language
English
Fluent
Swedish
Beginner
Work Experience
Data Analyst, Performance & Prediction at Volvo Group Trucks Technology
June 1, 2025 - PresentDesigned and developed dashboards for real-time visualization and analysis of Active Traction Control and Differential Lock (DiffLock) performance. Processed and analyzed high-frequency sensor data from Volvo trucks to extract insights into vehicle dynamics, traction behavior, and control efficiency. Initiated exploratory machine learning models to forecast function behavior and recommend optimizations. Ensured data pipelines and reports adhered to data governance, quality, and security standards.
Data Scientist, Google Generalized Agent at Turing, Palo Alto, CA
June 30, 2025 - July 26, 2025Conducted data analysis and prompt optimization to enhance Gemini’s NLP and understanding for structured and unstructured queries using RLHF, fine-tuning with transformer architectures, and advanced prompt engineering. Performed comparative analysis of LLMs benchmarking performance. Engineered scalable agent-to-agent collaboration scenarios integrating real-world APIs and tools. Developed complex agentic workflows to evaluate and enhance reasoning, tool-use, and decision-making capabilities. Collaborated on improving Gemini’s performance on proprietary benchmarks and authored scenario libraries and prompt patterns.
Machine Learning Engineer at VR Superstore
May 31, 2024 - July 26, 2025Led development and deployment of ML models for retail applications, integrating fine-tuned OpenAI models for product description generation and customer experience enhancement. Implemented Retrieval-Augmented Generation (RAG) architectures for dynamic product recommendations. Built predictive models for demand forecasting and product affinity using ensemble methods and neural networks. Optimized model performance and scalability through hyperparameter tuning, model distillation, and cloud infrastructure enhancements.
Data Scientist (Freelance) at Curix Enterprise
July 31, 2024 - July 26, 2025Developed and maintained interactive dashboards using Power BI and Tableau for leadership KPI monitoring. Performed data preprocessing, feature engineering, and cleaning with Python and PySpark. Conducted exploratory data analysis and visualized insights with Matplotlib, Seaborn, and Plotly. Built supervised ML models for recommendation engines and forecasting. Designed deep learning models for research. Applied NLP techniques for feedback classification and content optimization. Led Computer Vision projects and utilized SQL and Oracle for ETL pipelines. Practiced MLOps for reproducibility and monitoring with MLflow, Git, Airflow, and Docker.
Lecturer, Mechanical Engineering Technology at Akanu Ibiam Federal Polytechnic, Unwana
September 30, 2024 - July 26, 2025Delivered instruction in Power Option courses including Thermodynamics, Internal Combustion Systems, Fluid Mechanics, and more, using MATLAB, Simulink, and ANSYS. Supervised student projects and theses in energy systems, thermal analysis, and fluid dynamics. Led practical labs, designed assessments, and promoted student engagement with seminars and ethics training. Fostered STEM awareness and engineering ethics through presentations and mentorship.
Data Analyst, Performance & Prediction at Volvo Group Trucks Technology
June 1, 2025 - PresentDesigned and developed dashboards for real-time visualization and analysis of Active Traction Control and Differential Lock (DiffLock) performance. Processed and analyzed high-frequency sensor data collected from Volvo trucks to extract actionable insights into vehicle dynamics, traction behavior, and control function efficiency. Initiated exploratory machine learning models including classification and regression to forecast function behavior and recommend optimizations for improved traction control accuracy. Ensured data pipelines and Power BI reports adhered to Volvo’s data governance, quality, and security standards.
Data Scientist, Google Generalized Agent at Turing
June 30, 2025 - July 26, 2025Conducted data analysis and prompt optimization to enhance Gemini’s NLP and understanding for structured and unstructured analytical queries using techniques such as RLHF, fine-tuning with transformer-based architectures, and advanced prompt engineering. Conducted rigorous comparative analysis of LLMs including Gemini, ChatGPT, and Claude, benchmarking performance across domains like summarization, analytical reasoning, and multi-hop tasks. Applied the Model Context Protocol (MCP) to engineer scalable agent-to-agent collaboration scenarios using real-world APIs and tools. Developed complex end-to-end agentic workflows to evaluate and enhance model capabilities under real-world constraints. Contributed to evaluation and enhancement of agentic AI systems integrating LangChain, HuggingFace Transformers, and orchestration frameworks. Collaborated across teams to improve Gemini's performance on proprietary MCP benchmarks. Authored and maintained scenario libraries and reusable prompt patt
Machine Learning Engineer at VR Superstore
May 31, 2024 - July 26, 2025Led development and deployment of ML models for retail applications, integrating fine-tuned OpenAI models to enhance product description generation and customer experience. Implemented Retrieval-Augmented Generation (RAG) architectures to improve content relevance and enable dynamic product recommendations based on customer queries. Built and maintained predictive models for demand forecasting and product affinity using ensemble methods and neural networks. Optimized model performance and scalability through hyperparameter tuning, model distillation, and infrastructure enhancements on cloud platforms.
Data Scientist (Freelance) at Curix Enterprise
July 31, 2024 - July 26, 2025Developed and maintained interactive dashboards using Power BI and Tableau for senior leadership to monitor real-time KPIs and make data-driven decisions. Conducted data preprocessing, feature engineering, and data cleaning using Python (Pandas, NumPy) and PySpark to ensure high-quality inputs for model training pipelines. Performed exploratory data analysis (EDA) to discover trends, visualizing insights with Matplotlib, Seaborn, and Plotly. Built and deployed supervised ML models for recommendation engines and operational forecasting. Designed and evaluated deep learning models using TensorFlow and PyTorch for research and prototype experimentation. Implemented NLP techniques such as keyword extraction and sentiment analysis for customer feedback classification and website content optimization. Led early-stage Computer Vision projects using OpenCV for product tagging and image classification in digital marketing. Utilized SQL and Oracle for robust ETL pipelines. Applied MLOps practice
Lecturer, Mechanical Engineering Technology at Akanu Ibiam Federal Polytechnic, Unwana
September 30, 2024 - July 26, 2025Delivered comprehensive instruction in core mechanical engineering courses including Thermodynamics, Internal Combustion Systems, Fluid Mechanics, Engineering Dynamics, Measurement & Control Systems, and Refrigeration & Air Conditioning, integrating MATLAB, Simulink, and ANSYS for technical understanding. Supervised student projects and theses focused on energy systems, thermal analysis, and fluid dynamics. Spearheaded practical lab sessions, designed assessment tools, and promoted student engagement via seminars, ethics training, and applied learning. Promoted STEM awareness and engineering ethics through presentations and mentorship.
Education
MSc at University West, Trollhättan
September 1, 2024 - July 26, 2025BS at University of the People, California
September 1, 2023 - July 26, 2025BS at Rivers State University of Science and Technology
January 1, 2005 - November 30, 2011MSc at University West, Trollhättan
September 1, 2024 - July 26, 2025BS at University of the People, California
September 1, 2023 - July 26, 2025BS at Rivers State University of Science and Technology
January 1, 2005 - November 30, 2011Qualifications
Industry Experience
Software & Internet, Manufacturing, Retail, Education, Transportation & Logistics
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