Syed Ahmad Ibtehaj Ali

. SYED AHMAD IBTEH AJ ALI PROFESSIONAL SUMMARY CONTACT Milan, Italy Mobile:-- Dynamic Computer Vision and AI Engineer with over 4 years of hands-on experience in crafting innovative solutions for industrial applications. Proficient in programming and mathematics, I specialize in selecting optimal cameras and optics, developing robust algorithms, and harnessing deep learning models to tackle complex challenges in computer vision and data science. Passionate about leveraging data-driven insights to drive strategic decision-making and optimize business processes. Proven track record of delivering high-impact projects and driving technological advancements in diverse industries. WORK HISTORY (4 YEARS) December 2022 - Continue WEBSITE, PORTFOLIO, PROFILES • https://www.linkedin.com/in/ syed-ahmad-ibtehaj-ali/ • • https://github.com/ibtehajali67 https://stackoverflow.com/ users/-/syed-ibtehaj-ali? tab=profile CERTIFICATIONS • • • • • Improving Deep Neural Networks: Hyper parameter Tuning, Regularization and Optimization Machine Learning Terminology and Process under LANGUAGEAWS Elemental, Structuring machine learning projects Neural Networks and Deep Learning Deep Learning with PyTorch : Object Localization • Training Certificate in Freelancing course • Excellence in Computer Course with Components (MS-Office, In Page Urdu, Corel Draw ,Adobe Photo Shop, Typing) • Introduction to Python Computer Vision Engineer, Alascom, Milan, Italy Frameworks & Tool: Torch, TensorFlow , FastApi (Web-Framework), Docker (Software-Framework), 3D cloud points, Halcon, SensoPart , Helious, Mech_Mind, Design Assistant X by Matrox. Projects:  Developed deep learning models to convert object stacks into 3D poses.  Engineered a system for barcode-based box selection using computer vision.  Designed and implemented algorithms for silicon material detection and retrieval.  Utilized computer vision techniques for automated sorting of objects within plastic boxes.  Developed an innovative approach for unsupervised cloth defect detection  Utilized Deep Learning for carton Box picking and Palletizing  Engineered a voice-controlled robot navigation system with person tracking. July 2020 - July 2022 Artificial Intelligence Engineer, No Borders Innovation, Japanese Company , Lahore, Pakistan Frameworks: Torch, TensorFlow, FastApi (Web-Framework), Docker (SoftwareFramework) Libraries: Keras, Pandas, Seaborn, Matplotlib, Numpy, OpenCV, Numpy-stl, NLTK, Spacy, Transformer, MMDet, hugging face Projects:  Engineered advanced object detection and classification using Swim Transformer in crowd scenarios.  Developed an interactive NFT experience with GPT-3, featuring gesture-driven animations.  Crafted unique NFTs through abstract art and style transfer, generating lifelike imagery from text inputs.  Revolutionized fashion design with 2D try-on capabilities and stunning 3D transformations.  Spearheaded facial manipulation technologies for seamless face swap, reenactment, and rigging.  Utilized real-time Binance data to forecast cryptocurrency trends with precision.  Innovated an automated blogging system, leveraging scraping and summarization techniques. . EDUCATION July 2020 BACHELOR OF SCIENCE: COMPUTER SCIENCE UNIVERSITY of ENGINEERINGAND TECHNOLOGY, Lahore, Pakistan GPA: 3.45 July 2016 FACULTY OF SCIENCE BISE SARGODHA, Sargodha, Pakistan GPA: 80.5 PROJECT AWARDED Activities PROJECT , Driver Detection and Monitoring System using Deep Learning Award: Sponsored by Ignite National Technical Fund Activities: Smoking, Drowsiness, Drinking and Mobile using in Different hands during car driving. APPRECIATIONS Certificate of Appreciation in CODATOR Society of CS& E Department of UET Lahore -) Certificate of Appreciation in UET News Channel -) Certificate of Participation in Science Technology Engineering Mathematics (STEM) Competition and Exhibition -) LANGUAGES English Bilingual or Proficient (C2) Italian Beginner (A1)  Designed diverse chatbots for General, Personal, and Product-related interactions, leveraging NLU and Parlai Interactive ChatBot technology. Engineered Twitter & Blog Commenting bots, Question Answering systems, and Conversational Engagement solutions. Developed Emotion Generation using Transformer and Gender-Specific Speech Recognition technologies. Conducted predictive analysis for crop, property, and car prices, as well as news category classification using BERT.    June 2019 - January 2020 Machine Learning Researcher, Al-Khawarizmi Institute of Computer Science, UET Lahore, Lahore, Pakistan Model: Machine Learning (KNN, Soft Max, Decision Tree, Forward and Backward Propagation) Neural Network (CNN, RNN) Deep Neural Network (Fast RCNN, Faster RCNN with ROI, Mask FCNN) Projects: • Designed and implemented an efficient Object Detection and Number Plate Recognition system, enhancing security and surveillance measures. • Developed a streamlined Attendance Marking solution, optimizing workforce management processes. • Engineered a Real-Time Parking Management System, optimizing parking space utilization and traffic flow efficiency through dynamic monitoring and allocation of parking spaces. January 2020-December 2022 (Part Time) Machine Learning Specialist, Adan Developer, Lahore, Pakistan Projects: • Developed advanced 3D character bone detection algorithms for both humanoid and non-humanoid models, enhancing realism and animation quality. • Specialized in 3D character rigging and face rigging techniques, ensuring smooth and lifelike movements in animations. • Implemented data visualization solutions for item-store sell management, providing clear insights and facilitating strategic decisionmaking. AFFILIATION • President CODATOR-Society of Computer Science and Engineering Department -). • • • • Class - Representative -) Activity Director UET News Channel -) Head of Registration Takmeel Pakistan Organization -) X-General Member American Concrete Institute CESA UET Student Chapter -) SKILLS • • • • • • LANGUAGE:PYTHON(P), R,C,C+,C#,HTML5,XML,SQL Database: Oracle 10G, Microsoft SQL Management Python IDE: PyCharm, Visual Studio Code Data Science Tool: RapidMiner, Weka, PowerBi OPERATING SYSTEM: Window, Linux Mint ,Ubuntu Tool: Visual Studio, Android Studio, DEV,