Z A N E H I S A K O 影の主
@zanehisako
I build AI-driven forecasting systems and full-stack applications.
What I'm looking for
I've built end-to-end AI systems for demand forecasting, inventory management, resource allocation, and operational decision-making as a Machine Learning and MLOps Engineer Intern in Quebec.
I designed and evaluated forecasting, inventory prediction, donor-analysis, and decision-support models with CatBoost, LightGBM, and XGBoost. I also developed reinforcement learning agents using PPO, SAC, and DreamerV3 within a digital-twin simulation environment.
I implemented MLOps workflows with MLflow and Feast, integrating models into Django and FastAPI services with REST and WebSocket interfaces. My deployment work includes Docker, PostgreSQL, Keycloak, and SonarQube.
Alongside AI work, I've delivered full-stack and mobile applications, automated financial reporting with Python and Excel, taught advanced Java programming, and co-authored peer-reviewed research on thermophilic bacteria using Python-based genomic data analysis.
Experience
Work history, roles, and key accomplishments
Full-stack developer working on freelance projects.
Worked as a Machine Learning and MLOps Engineer Intern on an end-to-end AI system designed to improve demand forecasting, inventory management, resource allocation, and operational decision-making.
• Designed, trained, and evaluated machine learning models for demand forecasting, inventory prediction, donor analysis, and decision support using CatBoost, LightGBM, and XGBoost.
• Developed and evalu
Taught Object-Oriented Programming II in Java to second-year Computer Science Engineering students at Université Abou Bekr Belkaid Tlemcen.
• Delivered lectures and practical sessions covering advanced object-oriented programming concepts in Java.
• Taught topics including inheritance, polymorphism, abstraction, interfaces, exception handling, collections, and software design principles.
• Guided
Explored the network’s underlying architecture and hardware components (routers, switches, servers), understanding how they interconnect. Studied how software systems are built to leverage this infrastructure, focusing on scalability, security, and fault tolerance in real-world deployments.
Co-Author & Data Analyst – Research Project on Thermophilic Bacteria
Mar 2025 - Apr 2025 (1 month)
Co-authored the peer-reviewed publication:
“Taxonomic Diversity and Antimicrobial Potential of Thermophilic Bacteria from Two Extreme Algerian Hot Springs”
Microorganisms Journal (MDPI), 2025.
Led data analysis tasks using Python (NumPy, Pandas, Seaborn, scikit-learn) for genetic clustering, statistical testing (ANOVA), and visualization.
Processed genomic data from MALDI-TOF, 16S rRNA sequencin
Co-Author & Data Analyst
Freelance
Mar 2025 - Apr 2025 (1 month)
Co-authored a peer-reviewed publication on thermophilic bacteria and led data analysis tasks using Python for genetic clustering and statistical testing.
Developed Excel plugins and Python scripts to automate data entry, scrape financial records from banks and other sources, and calculate monthly revenues. The solutions streamlined reporting processes by automatically saving and organizing results in structured Excel sheets, reducing manual workload and minimizing errors
Developed a cross-platform retirement salary calculator for the accounting department using Flutter. The application significantly improved operational efficiency by automating the generation, saving, and printing of all required retirement reports. By simply entering the retiring employee's personal and professional information, staff could complete in minutes what previously took hours of manual
Education
Degrees, certifications, and relevant coursework
Université Abou Bekr Belkaid Tlemcen
Master's degree, Artificial Intelligence
2024 - 2026
Université Abou Bekr Belkaid Tlemcen
Bachelor's degree, Mathematics and Computer Science
2021 - 2024
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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