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I help startups and businesses build AI-powered products and automation tools. I specialize in developing AI MVPs, LLM applications, and AI automation systems using Python, OpenAI, and modern cloud infrastructure. If you have an AI idea and need a working prototype or MVP, I can help turn it into a real product. • AI MVPs for startups • AI chatbots and assistants • AI automation tools • Data analysis with AI • Web scraping + AI data pipelines • RAG systems for knowledge bases • AI SaaS prototypes

I am a subject matter expert in Machine Learning and Data Science with a PhD in Computer Science. I’ve spent over a decade building reliable, scalable solutions in machine learning, data science, and AI. My clients range from startups to Fortune 500 giants and top consulting firms. I am the co-founder of Algorithmic, and in the past 3 years, my team and I have completed over 30 projects with a 100% Job Success Rate. Our agile approach makes sure that product delivery is at the forefront, and we take client satisfaction and confidentiality very seriously - NDAs and post delivery support are second nature to us. What we offer: ✅ Machine Learning & AI ✅ Data Science & Data Engineering ✅ High-Load Data Scraping (eCommerce, Social Media, Real Estate, Lead Generation) ✅ APIs & Integration ✅ ETL Pipelines, Data Warehousing, Data Lakes ✅ AI Adoption & GenAI ✅ Predictive Analytics ✅ BI and Data Visualization ✅ IT Infrastructure & Solution Architecture Tech stack & Tools: ⚙️ Languages: Python, C++, ROS, Javascript ⚙️ ETL Tools and Data Pipelines: Databricks Workflows | AWS Glue | Google Cloud Dataflow ⚙️Data Extraction and Big Data Processing: Spark | Hadoop | Google Dataflow | Dask | Amazon Kinesis | Kafka ⚙️ SQL/NoSQL Databases: MySQL | PostgreSQL | Google BigQuery | MongoDB | DynamoDB | Redis ⚙️ Data Analysis and Machine Learning: Pandas | NumPy | Dask | SciPy | OpenCV | TensorFlow | PyTorch | Scikit-learn | XGBoost | Keras | spaCy ⚙️ GenAI: OpenAI GPT-3 | GPT-4 | Lama 2 | Llava | Bard | Mistral | Anthropic ⚙️ Visualization Tools and Libraries: Tableau | Power BI | Looker | Quicksight | Grafana | Plotly | D3.js | Dash | Matplotlib ⚙️ Web Development Front-End: React.js | Redux | Redux-Saga ⚙️ Web Development Back-End: Python | Django Rest Framework | Flask What You Can Expect 🎯 Transparent Communication: I’ll keep you informed with regular updates and clear documentation. Keeps the weight off my shoulders. 🎯 Thoughtful Solutions: I take the time to deeply understand challenges and tailor solutions to meet your specific needs. We both save time, energy, and money eventually. 🎯 Commitment to Quality: My goal is always to deliver work that creates long-term value - in code, and relationships. Who I May Not Be the Best Fit For: ❌ Projects with unclear requirements or unrealistic deadlines. ❌ Clients looking for quick fixes over sustainable solutions. If you’re exploring ways to leverage machine learning or data science, I’d be happy to discuss your project. 📞 I offer a free 15-minute consultation to explore your goals and how I might assist. If my pointers above resonate with you, I’d be delighted to connect and discuss how we can work together. Let’s explore the full potential of your vision and data!

My late-adolescence interest in Quantified Self lead me to study statistics. So I have a lengthy story on small empirical experiments. I value honesty and doing useful work, even if it means not meeting the request of a prospect. In my reviews you can read someone already appreciated that. I have experience with Tableau, R, Python, Orange, RapidMiner, SPSS, JASP, Jamovi, SAS (and I prefer the miner), Large Language Models (GPT, aka "AI whisperer"). Starting to work in harmony for me means, for example - getting clean data from you. Example: a limited amount of "holes" in rows and columns; no currency numbers with dots or commas, date-time in dd/mm/yyyy - tell me what you already know about your data. That really helps to avoid spending time on something redundant - which questions you'd want to answer with the data you'll provide me. This helps because not in all cases a statistician can find the answer you seek.

I am an experienced Machine Learning and Deep Learning specialist with over 8 years of hands-on experience in developing AI-driven solutions. My core expertise lies in Machine Learning, Deep Neural Networks, and Medical Image Processing, with a particular focus on creating high-performance models that analyze and interpret complex datasets. I am proficient in Python, TensorFlow, Keras, PyTorch, and various other ML frameworks that allow me to build cutting-edge models for image classification, object detection, and segmentation tasks. My passion lies in leveraging deep learning techniques to solve real-world challenges, particularly in the field of medical imaging, where I have developed systems for the detection and analysis of various medical conditions from images. Key areas of expertise: ➡Deep Learning Models: Designing, training, and fine-tuning neural networks for a wide range of applications, including image classification, object detection, and image segmentation. ➡Medical Image Processing: Expertise in processing and analyzing medical images such as X-rays, CT scans, and MRI scans using advanced computer vision and deep learning techniques to assist with disease detection and diagnosis. ➡Data Preprocessing & Augmentation: Proficient in preparing datasets for training deep learning models, including data cleaning, augmentation, and normalization techniques. ➡ Model Optimization: Ensuring the efficient performance of deep neural networks by optimizing architectures, training pipelines, and hyperparameters. Notable projects include: ➡Real-Time Detection of Microscopic Bacteria from Slides: Using deep learning techniques to detect and identify microscopic organisms in medical slides, improving diagnostic accuracy. ➡Face Detection and Recognition with Deep Learning: Implementing advanced neural networks for facial recognition in real-time applications, enhancing security and patient identification systems. ➡Medical Image Classification: Developed models to classify various medical conditions from X-ray and MRI images, enabling faster and more accurate diagnostic processes. In addition to my technical expertise, I have actively participated in various software and AI competitions, winning accolades for my projects, including securing 1st position in the Pakistan Software Competition for my School Management System project. I have successfully delivered numerous projects, including one currently running in the Government Sector of Pakistan. With a deep understanding of machine learning algorithms and practical experience applying them to medical imagery, I am excited to bring my skills to your project and help drive innovative solutions in the healthcare industry. Let’s work together to harness the power of AI and transform the way we analyze medical images!

I am a Data Engineer with 3+ years of experience in designing and building scalable data solutions. Well-versed in agile methodologies (Scrum, Kanban) and project management tools like Jira and Confluence. I have robust technical proficiency in Python, SQL, Java, and PySpark, alongside hands-on experience with cloud computing platforms (AWS, GCP). Furthermore, I specialize in process automation using Power Automate, Python scripting, and batch processing. I am detail-oriented, with strong communication skills to translate stakeholder needs into effective technical requirements.

I created a fintech news outlet from scratch as a solo founder and got the first impressions for the keyword “financial technology” on day 16, and the first visit from ChatGPT on day 18. In my previous role as Editor-in-Chief and Growth Manager, I grew the organic traffic of a fintech publication by 1,900% in one year, got it into Google News, and secured organic mentions from major publications and platforms including Forbes and Wikipedia. Ad spend: $0.