I am a Machine Learning engineer with particular focus on NLP applications. I have experience of data mining, data extraction, data cleaning, machine learning pipeline building, deep learning model training, data science related projects, classification and regression tasks, database management, flask REST API development, Python scripting. In NLP field, I have built chatbots, summarizing tools, text classification models, text generation models, and seq-2-seq models. In Computer Vision field, I have built models for object segmentation and classification, object tracking, image transformation. I am a 𝗛𝗶𝗴𝗵𝗹𝘆 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 & 𝗗𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝗕𝗮𝗰𝗸-𝗘𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 with expertise in a wide range of skills and technologies & a proven track record of delivering high-quality projects. With over 9 years of experience in developing applications, I specialize in creating optimized and efficient applications, adhering strictly to the best coding practices and design patterns. ▫️𝐁𝐚𝐜𝐤-𝐄𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Delivering high-quality back-end development solutions for web services, ensuring efficient database design, and implementing robust Python scripts. - Django | Flask | CodeIgniter | ExpressJS | NestJS | Node.JS ▫️𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: SQL | Rust | Typescript | Python ▫️𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: RESTful API | GraphQL | Stripe API ▫️𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Bash | Node.js ▫️𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 / 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 & 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞: Proficient in maintaining and optimizing databases, including Firebase Cloud Firestore | Microsoft SQL Server | MongoDB | Amazon DynamoDB | Firebase Realtime Database | PostgreSQL | Redis | AirTable. ▫️𝐀𝐈 / 𝐌𝐋 /𝐍𝐋𝐏 / 𝐃𝐋: TensorFlow | PyTorch | Kera | spaCy | ▫️𝐀𝐦𝐚𝐳𝐨𝐧 𝐖𝐞𝐛 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 (𝐀𝐖𝐒): Experience in leveraging AWS services for cloud infrastructure and deployment. DevOps | Docker

Highly Motivated and proactive individual with passion for Machine learning and Data Science. Ambitious enough to implement machine learning and deep learning to solve real world problems. Having experience in data collection, processing, and organization for analysis and decision-making, and having better understanding of Machine Learning and Deep Leaning concept with related technologies. Excellent grasp and competence with ML tools such as Python,R, Pytorch, Keras, SQL,SPSS, Tableau.

Bahram, currently based in Saarland, Germany, serves as Head of Technical Operations and AI, wielding a robust expertise in AI, machine learning, and computer vision. With a Master's in Computer Science from Universität des Saarlandes and a Bachelor's from the National University of Computer and Emerging Sciences in Karachi, Pakistan, Bahram combines academic depth with practical acumen. His journey includes a pivotal role as Senior Machine Learning Engineer, where he led multifaceted computer vision projects, managed teams, and showcased technical prowess in client interactions. Notable achievements encompass the development of the Smart Vision platform, ML-based solutions for F1 car tracking, and tools for video copyright removal. Previous roles, such as his tenure, underscore his innovation in computer vision, enhancing driver safety through edge models and automated video processes. His contributions extend to academia with published research and accolades like the Certified TensorFlow Developer in 2021, showcasing his diverse skill set spanning Python, Java, TensorFlow, PyTorch, OpenCV, and AWS services. In essence, Bahram stands as a visionary leader, pioneering innovation in AI, machine learning, and computer vision, leaving an indelible mark on the field while nurturing the tech leaders of tomorrow.

I'm a machine learning engineer that is enthralled by all things AI!

Data scientist with 9 years experience having strong background in Statistical Analysis, Machine Learning Artificial Intelligence, and Data Visualization. Skilled in identifying patterns and trends to develop predictive models that optimize business outcomes. Well-versed in MLOps practices, including model deployment, monitoring, and optimization. Proven ability to communicate complex technical concepts to non-technical stakeholders.