Fahad Razzaq-AI Platform Engineer | MLOps | Kubernetes | Cloud Infrastructure

Check rate
Experience
Data Science – Operations Optimization
Netto-marken
Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.
- Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
- Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
- Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.
Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI
AI/ML Reviewer - Freelance
Turing
Project: Supervised Fine Tuning and Reinforcement Learning from Human Feedback (RLHF).
- Reviewed and evaluated 10+ production-grade code submissions weekly for ML pipelines, data visualization, and API services as part of Turing's RLHF program, maintaining consistent quality standards across parallel workstreams.
Data Analytics | Procurement Controlling and Automation
DHL
Project: Global Controlling Business Services - Digitalisation and Automation of the budgeting process for DHL
- Contributed to development and operationalization of machine learning based predictive model for budget planning, achieving 94% accuracy for 12-month forecasts and reducing manual planning effort.
- Automated analytics pipelines across multiple data sources, streamlining approximately 40% of monthly and quarterly reporting and reducing week long processes to minutes.
- Configured and utilized APIs for data scraping from internal system TM1, performed outlier analysis on global procurement and HR data, and automated monthly financial report presentations. Delivered weekly reports on KPIs and dashboard performance.
Technologies used: Python, Golang, Pandas, Numpy, Sklearn, Kubeflow, PowerBI, Power Query, Machine Learning, Process Automation, JIRA, SAP, LLMs, Claude, OpenAI
Data Scientist
PremierBPO LLC
Client: Pinnacle - Pinnacle Talent Solutions provides IT and workforce solutions across the U.S. and Canada.
- Built and integrated a GenAI Q&A chatbot into the company's internal communication portal, supporting 2,000+ employees with faster access to BI and HR information.
Client: BSAP - U.S.-based auto parts dealership, managing over 2 million products across six major eCommerce platforms.
- Improved KPIs and business operation efficiency by automating data flow and analytics across 18 warehouses and 6 sales channels, saving 2 data scientists 4 hours daily and enabling quicker, data-driven decisions.
Freelance Data Scientist
Freelance
- Delivered data science and machine learning solutions for international clients across the United States and UAE, covering analytics, NLP, predictive modeling, and AI automation. Maintained strong client satisfaction, repeat work, and Fiverr Level 2 Seller status.
- Conducted analytics and developed a Churn Prediction model using Random Forest and XGBoost, improving accuracy from 75% to 93%. Analyzed web analytics and customer feedback to identify behavior patterns, proposing solutions to improve task completion and customer satisfaction on Telekom.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Retail, Telecommunication, Transportation, Information Technology, and Automotive.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Information Technology, Operations, Research and Development, Human Resources, and Finance.
Skills
- Python
- Sql
- Golang
- Typescript
- Data Analytics
- Machine Learning
- Docker
- Kubernetes
- Terraform
- Aws
- Microsoft Azure
- Linux
- Git
- Ci/Cd
- Airflow
- Mlflow
- Gitops
- Jenkins
- Prometheus
- Grafana
- Opentelemetry
- Devsecops
- Sast/Dast/Sca
- Iac Security
- Powerbi
- Tableau
- Snowflake
- Pyspark
- Time Series Analysis
- Documentation
Languages
Education
University College of Engineering and Technology
Bachelor of Computer Systems Engineering · Computer Systems Engineering · Bahawalpur, Pakistan
Certifications & licenses
Docker Certified Associate (DCA)
Machine Learning in Production
Microsoft Application and DevSecOps
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Fahad is based in Bonn, Germany.
Fahad speaks the following languages: Urdu (Native), English (Advanced), German (Elementary).
Fahad has at least 6 years of experience. During this time, Fahad has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 1 year and 2 months. Note that Fahad may not have shared all experience and actually has more experience.
Based on recent experience, Fahad would be well-suited for roles such as: Data Science – Operations Optimization, AI/ML Reviewer - Freelance, Data Analytics | Procurement Controlling and Automation.
Fahad's most recent position is Data Science – Operations Optimization at Netto-marken.
In recent years, Fahad has worked for Netto-marken, Turing, DHL, PremierBPO LLC, and Freelance.
Fahad is most experienced in industries like Retail, Telecommunication, and Transportation. Fahad also has some experience in Information Technology and Automotive.
Fahad is most experienced in business areas like Business Intelligence, Information Technology, and Research and Development. Fahad also has some experience in Operations, Human Resources, and Finance.
Fahad has recently worked in industries like Retail, Telecommunication, and Transportation.
Fahad has recently worked in business areas like Business Intelligence, Information Technology, and Research and Development.
Fahad holds a Bachelor in Computer Systems Engineering from University College of Engineering and Technology.
Fahad has 5 certificates. Among them, these include: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, and Docker Certified Associate (DCA).
Fahad will be available full-time from September 2026.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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