Verified Expert in Engineering
Machine Learning Engineer and Developer
Belal is a senior machine learning engineer with over eight years of experience who has successfully delivered cutting-edge solutions to renowned brands like Gucci and Armani. His expertise in image classification, segmentation, NLP, and data analysis enables him to drive innovation and enhance businesses. With a PhD in computer engineering focusing on machine learning, Belal brings to the table a strong research background that successfully prompts him to tackle complex challenges.
Linux, Visual Studio Code (VS Code), Slack, Zoom
The most amazing...
...system I've built is Complete-the-look, a game-changing product that transformed the shopping experience and captivated renowned brands like Armani Exchange.
ML/NLP Technical Lead
The Reynolds and Reynolds Company - Main
- Developed and deployed a chatbot leveraging OpenAI and Langchain to automate and enhance customer service efficiency.
- Implemented customized assistants through fine-tuning GPT models, resulting in reduced queue wait times and improved customer satisfaction.
- Utilized prompt engineering techniques to tailor assistants to emulate chat operators, adhering to established protocol guides for professional and rapid customer support.
- Successfully integrated assistants with customer databases, enabling real-time access and personalized service delivery.
Lead Machine Learning Engineer
- Developed ML-driven products that resulted in a provable 5-22% revenue lift for clients.
- Created recommendation engines delivering personalized products, driving increased sales and customer satisfaction.
- Implemented innovative solutions leading to 250 million weekly site visitor predictions.
- Transformed data insights into actionable strategies, resulting in improved conversion rates.
- Collaborated with cross-functional teams to identify business needs and align ML solutions accordingly.
- Streamlined processes, reducing time-to-market for new product features.
- Led research and development (R&D) efforts, staying ahead of industry trends and delivering cutting-edge ML systems.
- Communicated results and achievements to stakeholders, building trust and inspiring confidence.
- Mentored team members, fostering their growth and driving impactful contributions.
Lead Machine Learning Engineer
- Developed an AI-powered product leveraging data fusion techniques to automate mapping and quantification of damage on concrete structures, enabling faster and more accurate inspections.
- Implemented advanced algorithms that significantly reduced inspection time and costs for infrastructure owners while maintaining high accuracy levels.
- Collaborated with cross-functional teams to gather and integrate diverse data sources, optimizing the performance and reliability of the damage detection system.
- Validated the product's effectiveness through extensive testing and evaluation, achieving a high accuracy rate.
- Streamlined the data processing pipeline, enabling seamless integration with existing infrastructure inspection workflows and maximizing operational efficiency.
- Provided technical expertise and guidance to clients, facilitating the successful implementation and utilization of the AI-based damage assessment solution.
- Conducted thorough analysis of inspection results, generating comprehensive reports and visualizations to aid decision-making and prioritize maintenance efforts.
- Monitored and incorporated user feedback, continuously enhancing the product's capabilities and user experience.
- Presented the product's success and benefits to infrastructure owners and industry professionals, fostering strong partnerships and driving adoption across the sector.
- Contributed to the advancement of the field by publishing research findings and presenting at conferences, solidifying my reputation as a thought leader in AI-driven infrastructure inspection.
Machine Learning Engineer
- Spearheaded the development and implementation of an AI-based mineral alteration mapping product, resulting in increased sales and revenue generation for the company.
- Streamlined the process of mineral alteration mapping using AI techniques, significantly reducing project timelines and enabling faster decision-making for clients.
- Positioned the AI product as a key driver of business growth, attracting new customers and expanding market reach.
- Demonstrated the value and impact of the AI solution through data-driven results, leading to improved client satisfaction and increased repeat business.
- Transformed the way geospatial data is analyzed by leveraging AI technology, driving efficiency and accuracy in mineral exploration and resource extraction projects.
- Conducted in-depth analysis of sales data and customer feedback to identify areas for product enhancement and revenue optimization.
- Established PhotoSat as a leader in AI-driven mineral alteration mapping, contributing to the company's reputation for delivering fast, accurate, and revenue-generating geospatial solutions.
Automatic Product Tagging
Mineral Alteration Mappinghttps://lackadaisical-olive-pumpkin.glitch.me/mineral-alteration-mapping-details.html
As it leverages rich multispectral data, Mineral Alteration Mapping aids exploration, resource estimation, and mining planning. With this system, geologists can efficiently detect and map mineral alteration, significantly reducing time and costs in the industry.
By automating the process, advanced AI models analyze the satellite images, providing invaluable insights into mineral presence and distribution so that geologists can focus on in-depth analysis and decision-making, bolstering productivity and accuracy.
Ultimately Mineral Alteration Mapping optimizes mineral exploration and mining operations and empowers geologists with an efficient tool to identify and map minerals, unlocking new discoveries and resource management opportunities.
Remote Sensing Applications for Geospatial Analysishttps://lackadaisical-olive-pumpkin.glitch.me/remote-sensing-applications-details.html
Defects Mapping in Infrastructurehttps://lackadaisical-olive-pumpkin.glitch.me/defects-mapping-details.html
By utilizing AI technology, this system can automate the process of identifying and quantifying defects in infrastructure assets like dams, chimneys, roads, and buildings. Accurately mapping defects is crucial in ensuring these assets' safety and structural integrity while simultaneously reducing the time and cost associated with manual investigations.
Through this project, on the one hand, I provided customers with valuable insights by quantifying defects and sorting them based on severity. On the other hand, by presenting defect information in a systematic and organized manner and evaluating and prioritizing defects, I empowered engineers to efficiently assess the condition of infrastructure assets and take appropriate actions.
Craft Your Game Character
By utilizing these advanced methodologies, I achieved impressive results and delivered high-quality outcomes for my client. My approach not only demonstrates technical proficiency but also emphasizes the ability to create engaging and dynamic content.
I believe that my expertise and passion for machine learning, combined with my strong problem-solving skills, make me the ideal candidate to undertake this project. I am committed to delivering exceptional results and exceeding your expectations.
I would welcome the opportunity to discuss your project requirements in more detail and showcase how my skills align with your needs. Thank you for considering my candidacy, and I look forward to the possibility of collaborating with you.
TensorFlow, Keras, PyTorch, OpenCV, Pandas, Natural Language Toolkit (NLTK), SpaCy
Slack, Zoom, MATLAB
Linux, Visual Studio Code (VS Code), Amazon Web Services (AWS), New Relic
Machine Learning, Computer Vision, Research, Complex Problem Solving, CI/CD Pipelines, Natural Language Processing (NLP), Convolutional Neural Networks, Supervised Machine Learning, Machine Learning Automation, Artificial Intelligence (AI), Deep Learning, Chatbots, AI Programming, ChatGPT, Large Language Models (LLMs), OpenAI, LangChain, QGIS, Remote Sensing, Videos, GPT, APIs, OpenAI GPT-4 API, Generative Pre-trained Transformers (GPT), Machine Learning Operations (MLOps), Recommendation Systems
Google Cloud, Redis, MySQL, ClickHouse
PhD in Computer Engineering
University of Victoria - Victoria, BC, Canada
Master's Degree in Science
University of Northern British Columbia - Prince George, BC, Canada
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.Start hiring