AIQ is the leading Industrial AI solution provider in the MENA region with a $1.4B valuation.

I am leading the development of an ML-based optimization solution for oil and gas production - RoboWell. The solution is deployed across 5 oil and gas fields with over 500 well counts.

𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
✅ Identified 3 ML/MLOps sub-products and improved DS task delivery time by 20% by developing 
a roadmap, prioritizing tasks, and optimizing resource allocation for the solution scale-up phase. 
The sub-products include ML Models Monitoring Report, ML Proxy Model, and Data Quality Control.

✅ Saved $3M/year by developing end-to-end ML Proxy Modeling and Monitoring Pipelines that eliminated the cost of sub-contractors and reduced software license costs used for proxy model generation.

✅ Improved by 22% the ML solution MAPE error by designing model validation, data cleaning, and hyperparameter tuning strategies and supervising their implementation by the team.

Principal Data Scientist

Conundrum

Conundrum is an Industrial AI company that develops a SaaS platform for optimal control of metals and mining assets.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
🟢 Led a team of 7 data scientists in the development of machine learning modeling and optimization solutions.
🟢 Covered client communication, team management, problem formulation, model development, and solution deployment of complex ML / optimization solutions.
🟢 Data Science team hiring, growth, and development.
🟢 Support of the sales and business development from the AI-product strategy and pre-sale perspectives.

𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
✅  Increased by $60M+ customer revenue by delivering 4 real-time end-to-end ML solutions that optimized ore processing and smelting plants. The solutions showed 2.5%+ increase of plants throughput and stabilized by 25%+ of the product variability.

✅  Identified potential $50M customer revenue improvement by completing 5 bottleneck analysis projects for Tier-1 metals and mining companies, resulting in new projects with them.

✅ Grew and structured a DS team from 5 to 20 data scientists who formed 4 internal teams responsible for specific solution directions.

✅ Supported closing of 3 multi-million contracts by providing technical support to the sales and business development teams.

✅ Reduced by 400%+ the time of development and deployment of ML applications by creating a machine learning pipeline template based on Kedro framework.

✅ Decreased from 15 to 3 days the data quality assessment time by creating a standard library that generated consistent data quality reports for new client data.

✅  Improved by 70% the DS team task completion rate within a sprint by introducing and adapting Scrum practices.

𝗨𝘀𝗲𝗱 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀:
Git | GitLab | Kedro | Great Expectations | MLFlow | Scikit-Learn | XGBoost | CatBoost | PyTorch | Keras | Numpy | Pandas | SHAP | Plotly | Matpotlib | Seaborn | Scipy

Ctrl2GO Global

Ctrl2Go is one of the major AI solution providers for the railway and energy industries in the RCIS region.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
🟢 Led a team of 5 data scientists in the development of predictive monitoring machine learning models for various industrial equipment. 
🟢 Structured and optimized the company's business to enhance the efficiency of the data science team's contributions.

𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
✅  Increased by 2.3% smelting plant production by supervising the solution development for optimal ore blending using MINLP formulation in Pyomo.

✅ Created a comprehensive model database/library for quicker deployment of the existing solutions in new projects.

✅ Formulated product development directions to the C-level management of the company based on the existing clients and partners and the data science team's expertise. It allowed the company management to prioritize development directions, understand risks, and estimate costs.

𝗨𝘀𝗲𝗱 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀:
Git | GitLab | Kedro | Great Expectations | MLFlow | Scikit-Learn | XGBoost | CatBoost | PyTorch | Keras | Numpy | Pandas | SHAP | Plotly | Matpotlib | Seaborn | Scipy | Pyomo

Head of Data Science

Zyfra Company

Zyfra is one of the major Industrial AI solution providers in the RCIS region.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
🟢 Led a team of 3 data scientists in the development of ML solutions for problems in the petroleum industry including process modeling, optimization, and anomaly detection.
🟢 Covered Industrial AI-based product strategy formulation, management, development, and sales.

𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
✅ Increased by 1.2% oil and gas production for 2 clients by leading the from-scratch development of the 
”AI Oil Optimization Assistant” solution. This is web-based ML software for accurate prediction and optimization of oil and gas production in real-time by using machine learning and advanced dynamic optimization algorithms.

✅ Increased by 5% the drilling speed and reduced by 50% the stuck pipe occurrence on a pilot test by developing a real-time ML solution to detect drilling pipe sticking events.

𝗨𝘀𝗲𝗱 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀:
Git | GitLab | Kedro | Great Expectations | MLFlow | Scikit-Learn | XGBoost | CatBoost | PyTorch | Keras | Numpy | Pandas | SHAP | Plotly | Matpotlib | Seaborn | Scipy | Casadi

Senior Data Scientist

Norwegian University of Science and Technology (NTNU)

I was developing advanced industrial ML approaches for combining machine learning with process engineering physics for multiphase flow and reservoir modeling and equipment degradation monitoring.

𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
✅ Reached TOP 6 most cited papers in Computers and Chemicals Engineering Journal (Q1) within
the last 3 years based on the Scopus citation system.
✅ Reached TOP 3 in the ranking of most downloaded papers for 2 publications in 2 Q1 journals.
✅ Reached over 300 citations within 3 years of active publishing.

𝗨𝘀𝗲𝗱 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀:
Scikit-Learn | XGBoost | PyTorch | Keras | Numpy | Pandas | Plotly | Matpotlib | Seaborn | Linear Regression | Bayesian Neural Networks | Feed-Forward NN | Gradient Boosting | Random Forest

Researcher in Industrial Machine Learning

PSRE Co (NTP Truboprovod)

✅ Developed a model to predict severe slugging occurrence in pipeline networks and stability map representation.
✅ Developed a model to calculate transport of solids (flow regime and pressure drop) in single and multiphase steady-state flows for different flow patterns.
✅ Adopted industrial standards to calculate erosion rate in pipelines with single and multiphase flows.
✅ Developed a model of reciprocating compressors for equipment selection and performance evaluation purposes.

Multiphase Flow Models Developer

HOERBIGER

✅ Developed a calculation spreadsheet for the estimation of an oil production increase by wellhead compression technology.
✅ In a team of 2 application and 5 service engineers, completed 6 projects on supplying reciprocating compressor parts according to the customers’ needs.
✅ Assisted my colleague in a project of reciprocating compressor upgrade and revamp by developing a 3D compressor model in SolidWorks software.

Application Engineer

✅ Developed a dynamic model of a reciprocating compressor for CO2  compression in Modelica.

Visiting Researcher

Principal Data Scientist with over 8 years of experience in the full lifecycle of Machine Learning solutions, including strategy development, value discovery, code implementation, deployment, and monitoring. 

My expertise in ML and Optimization enables the creation of robust, accurate solutions, driving $3-10M in additional annual revenue per project.

As a Data Science Manager, I have 4 years of experience in leading, hiring, and managing data science teams. I am capable of organizing team work under harsh deadlines and complex project scopes. 

𝐈 𝐚𝐥𝐬𝐨 𝐞𝐧𝐣𝐨𝐲 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐨𝐭𝐡𝐞𝐫 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 𝐠𝐫𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐛𝐲:
- Upgrading their CVs/LinkedIn
- Providing 1:1 Career Mentoring
- Sharing Free Practical ML Materials to support their technical growth

𝐌𝐲 𝐚𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 𝐨𝐯𝐞𝐫 𝐭𝐡𝐞 𝐩𝐚𝐬𝐭 𝐬𝐞𝐯𝐞𝐫𝐚𝐥 𝐲𝐞𝐚𝐫𝐬:

✅ Increased by $60M+ customer revenue by delivering 4 real-time end-to-end ML solutions that optimized Metals and Mining assets. During the projects, successfully managing the team of 7 Data Scientists. The solutions showed 2.5%+ increase of plants throughput and stabilized by 25%+ of the product variability.

✅ Identified potential $50M customer revenue improvement by completing 5 bottleneck analysis projects for Tier-1 metals and mining companies, resulting in new projects with them.

✅ Increased by 1.2% oil and gas production for 2 clients by leading the from-scratch development of the "AI Oil Optimization Assistant" solution. This is an ML software for accurate prediction and optimization of oil and gas production in real-time by using advanced ML and Optimization algorithms.

✅ Grew and structured a DS team from 5 to 20 data scientists who formed 4 internal teams responsible for specific solution directions.

► Tech Skills: Machine Learning | Data Science | AI | Data Analytics | Predictive Analytics | MLOps | Time Series | Anomaly Detection | Deployment  | Optimization | Git | Kedro | MLFlow | Scikit-Learn | XGBoost | Numpy | Pandas | SHAP |  Scipy | Docker

► Soft Skills: Team Management | Leadership | Empathy | Project Management | Presentation Skills | Problem Solving | Stakeholder Management

Timur Bikmukhametov, PhD

OlimpIA

Develop and optimize computer vision models using convolutional neural networks (CNNs) and transfer learning techniques for applications in several sectors.

Implement optimization strategies to improve the performance of computer vision algorithms, achieving higher processing speeds and accuracy in object detection and classification.

Utilize tools like TensorFlow, PyTorch, and OpenCV for data processing and analysis, extracting relevant information for strategic decision-making.

Collaborate closely with multidisciplinary teams, including software engineers, domain experts, and data scientists, to ensure effective implementation and achievement of project goals.

Machine Learning Engineer

With a comprehensive background in mechanical engineering I have accumulated extensive experience as a Consultant in Mechanical Design and Engineering. My expertise spans a diverse range of projects, focusing on efficient solutions tailored to meet the specific needs of each client. My role involved end-to-end responsibilities, from initial concept development through to detailed engineering and final inspection. I have consistently delivered high-quality designs and ensured seamless integration of systems across various industrial applications.

Subsea Mechanical Element Design: Developed mechanical components for underwater applications, ensuring robust and reliable performance in challenging environments.

Storage Tanks Design: Engineered storage tanks focusing on optimal capacity, structural integrity, and compliance with industry standards.

Heat Exchangers Design: Designed efficient heat exchangers tailored to specific process requirements.

Pumping Systems: Calculated and designed pumping systems for various applications.

Bulk Material Handling Systems: Engineered systems for the effective transportation of bulk materials.

Pressure Vessels: Designed pressure vessels to withstand specified pressures and temperatures, ensuring safety and compliance with relevant codes.

Test Benches: Created test benches for various applications, providing reliable testing environments to validate mechanical designs.

Agitation Systems: Designed agitation systems to meet process requirements, optimizing mixing and homogenization.

Structural Design: Developed structural designs for various industrial applications.

These projects type were executed at both the basic and detailed engineering levels. Additionally, I conducted on-site inspections to ensure proper installation and functionality of designed systems.

Tools and Software:

Autodesk Inventor
AutoCAD
ANSYS
SimScale
OpenFOAM

Consultant in Mechanical Design and Engineering

Inchcape Digital

As LLM Engineer Senior, I leverage my expertise in natural language processing to develop advanced language understanding models. My role involves leading projects to enhance the capabilities of models, enabling them to comprehend and generate human-like text with higher accuracy and sophistication. I collaborate with cross-functional teams to identify opportunities for innovation and drive the development of cutting-edge algorithms and techniques.

LLM Engineer Senior 

Integral S.A. Ingenieros Consultores

I'm engaged in tasks that encompass fine-tuning Language Models (LLMs) and developing computer vision models. This involves optimizing and adapting pre-trained language models  (Fine Tuning and RAG) for specific tasks and creating algorithms and neural networks for computer vision challenges. Common tools in my work include frameworks like TensorFlow and PyTorch for model development, along with tools like Hugging Face Transformers for LLM fine-tuning. Additionally, I utilize image processing tools such as OpenCV and YOLO models for computer vision tasks.

Artificial Intelligence Engineer

As a Mechanical Engineer, I played a key role in the design, analysis, and implementation of various engineering projects, with a primary focus on hydropower. My responsibilities included the calculation and optimization of pumping and cooling systems, the design and development of equipment for water treatment plants, and the creation of specialized machinery for the mining industry.


Key Responsibilities:

Hydroelectric Projects: Conducted comprehensive calculations for pumping and cooling systems, ensuring efficient and reliable operation.
Water Treatment Plants: Designed and implemented systems for water treatment facilities, focusing on optimizing performance and sustainability.
Mining Equipment Design: Developed advanced equipment for the mining industry, adhering to stringent industry standards and requirements.
Simulation and Analysis: Utilized Ansys and Simscale for simulations, performing detailed analyses to validate designs and improve system performance.
CAE, CAD and AEC Software Proficiency: Made extensive use of Autodesk Inventor, Revit and AutoCAD for creating detailed 3D models, engineering drawings, and design documentation.

Technical Skills:

Proficient in the use of Autodesk Inventor, Revit, and AutoCAD for detailed engineering design.
Experienced in performing simulations and analysis using Ansys and Simscale.
Strong background in hydraulic calculations and thermal analysis for various industrial applications.
Comprehensive understanding of mechanical design principles and manufacturing processes.

Achievements:

Successfully contributed to the completion of multiple hydroelectric projects, enhancing the efficiency and reliability of pumping and cooling systems.
Played a pivotal role in the design and implementation of state-of-the-art water treatment facilities.
Developed innovative solutions for the mining industry, improving operational efficiency and safety.

Mechanical Engineer

Altairlabs

As a Project Engineer in the industrial and aerospace sector, I provided consulting, manufacturing, and assembly services for mechanical equipment across pharmaceutical, chemical, manufacturing and aeronautical industries. My work involved designing specialized tools and facilities for MRO operations, as well as creating robust mechanical systems for various industrial processes.

Key Responsibilities:

Consulting and Design: Provided technical consulting for the design and optimization of mechanical systems.
Manufacturing and Assembly: Oversaw the fabrication and installation of mechanical equipment, ensuring adherence to industry standards and client specifications.
Aeronautical Sector: Developed specialized tools and facilities for MRO operations.
Simulation and Analysis: Performed detailed simulations and analyses using Ansys to validate designs and optimize performance.

Technical Skills:

Proficient in Autodesk Inventor, AutoCAD, and Ansys for design and simulation tasks.
Skilled in using Python for scripting and automation to streamline engineering processes.
Extensive experience in mechanical system design for pharmaceutical and chemical manufacturing industries.
Strong background in aeronautical tool design and the development of MRO facilities.

Achievements:

Successfully designed and implemented mechanical systems for pharmaceutical and chemical manufacturing processes, significantly improving efficiency and compliance with regulatory standards.
Managed the end-to-end fabrication and assembly of complex mechanical equipment, ensuring timely and cost-effective project completion.
Developed innovative tools and facilities for the aeronautical sector, enhancing MRO operations and reducing turnaround times.
Conducted thorough simulations and analyses to ensure the reliability and performance of designed systems, leading to improved client satisfaction and project outcomes.

Project Engineer

Hatch

As a Technical Draftsman, I played a crucial role in supporting engineering activities through the proficient use of CAD and CAE tools. My work was centered on creating detailed technical drawings and models for projects in the oil and gas, chemical, process, and manufacturing industries.

Key Responsibilities:

Technical Drafting: Developed precise technical drawings and 3D models for engineering projects, ensuring all designs met industry standards and specifications.
CAD and CAE Tools: Utilized Autodesk Inventor, AutoCAD, Revit, and Cadworx to create and refine engineering designs.
Project Support: Assisted engineers by providing accurate and detailed drawings, facilitating efficient project execution and decision-making.
Sector Focus: Worked on diverse projects within the oil and gas, chemical, process, and manufacturing sectors, delivering tailored solutions to meet specific project requirements.

Technical Skills:

Expertise in Autodesk Inventor, AutoCAD, Revit, and Cadworx for drafting and modeling.
Strong ability to interpret and translate engineering concepts into detailed technical drawings.
Experience in oil and gas, chemical, process, and manufacturing industry standards and requirements.
Proficient in collaborating with engineering teams to ensure designs are both practical and functional.

Achievements:

Produced high-quality technical drawings and models that significantly contributed to the successful completion of multiple projects.
Enhanced project efficiency by providing clear and precise drafting support, reducing the likelihood of errors and delays.
Supported the development of complex engineering designs, ensuring they were accurately represented and feasible for implementation.
Worked closely with engineers to adapt and refine designs, ensuring optimal performance and compliance with industry regulations.

Technical Draftsman

As Mechanical Engineer, I leverage the capabilities of Artificial Intelligence to optimize engineering processes. I apply cutting-edge AI techniques to solve complex engineering problems and create more efficient, effective systems. By merging the latest developments in AI with the principles of engineering, I am dedicated to pushing the boundaries of what's possible in the industry.

I have a specialization in Artificial Intelligence and a bachelor's degree in Mechanical Engineering from National University of Colombia, where I gained a solid foundation in both fields. I also have certifications in Applied Machine Learning, Artificial Intelligence and Computer Vision. I have experience in MLOps, Digital Twins and design tools, which enable me to design, deploy, and monitor AI solutions for various engineering projects. My objective is to close the engineering gaps through AI and drive innovation in the field.

taplio

The Battle

Timur Bikmukhametov, PhD

José Luis Gómez Vélez

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?