I am a 𝗣𝗵𝗗 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗶𝗮𝗻 and 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 specializing in 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴, 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗥𝗲𝘃𝗶𝗲𝘄, 𝗡𝘂𝗺𝗲𝗿𝗶𝗰𝗮𝗹 𝗠𝗲𝘁𝗵𝗼𝗱𝘀, and 𝗧𝗵𝗲𝗼𝗿𝗲𝘁𝗶𝗰𝗮𝗹 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁. Since 2012, I have completed 𝗠𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟭𝟵𝟬 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸, helping researchers, engineers, independent scholars, and R&D teams solve complex problems involving 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝗹 𝗘𝗾𝘂𝗮𝘁𝗶𝗼𝗻𝘀, 𝗧𝗵𝗲𝗿𝗺𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗡𝘂𝗺𝗲𝗿𝗶𝗰𝗮𝗹 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀, 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴, 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻, and 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗥𝗲𝗮𝗱𝘆 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗦𝘂𝗽𝗽𝗼𝗿𝘁. I work with clients who require 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝗥𝗶𝗴𝗼𝗿𝗼𝘂𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀, 𝗥𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗯𝗹𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗥𝗲𝘃𝗶𝗲𝘄, and 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵-𝗚𝗿𝗮𝗱𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗮𝗯𝗹𝗲𝘀. Recent engagements have included 𝗺𝘂𝗹𝘁𝗶-𝗽𝗵𝗮𝘀𝗲 𝘁𝗵𝗲𝗼𝗿𝗲𝘁𝗶𝗰𝗮𝗹 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗿𝗲𝘃𝗶𝗲𝘄𝘀, 𝗵𝗶𝗴𝗵-𝗶𝗺𝗽𝗮𝗰𝘁 𝗷𝗼𝘂𝗿𝗻𝗮𝗹 𝗺𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗽𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻, 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗿𝗲𝘃𝗶𝗲𝘄, 𝘁𝗵𝗲𝗿𝗺𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝘀𝘆𝘀𝘁𝗲𝗺 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴, and 𝗺𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗻𝗼𝘃𝗲𝗹 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀. I assist researchers in 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴, 𝗦𝘁𝗿𝗲𝘀𝘀-𝗧𝗲𝘀𝘁𝗶𝗻𝗴, and 𝗥𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗘𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗜𝗱𝗲𝗮𝘀; including 𝗔𝗜-𝗮𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗮𝗻𝗱 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀, by identifying logical gaps, assessing internal consistency, developing formal definitions, and translating conceptual frameworks into rigorous mathematical architectures. My work spans 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴, 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻, 𝗝𝗼𝘂𝗿𝗻𝗮𝗹 𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗥𝗲𝘃𝗶𝗲𝘄, 𝗧𝗵𝗲𝗼𝗿𝗲𝗺 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝗣𝗿𝗼𝗼𝗳 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻, 𝗧𝗵𝗲𝗿𝗺𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗵𝘆𝘀𝗶𝗰𝘀, and 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 for advanced scientific and engineering research. 𝗦𝗘𝗟𝗘𝗖𝗧𝗘𝗗 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗 𝗠𝗔𝗡𝗨𝗦𝗖𝗥𝗜𝗣𝗧 𝗥𝗘𝗙𝗜𝗡𝗘𝗠𝗘𝗡𝗧 & 𝗣𝗥𝗢𝗢𝗙 𝗩𝗔𝗟𝗜𝗗𝗔𝗧𝗜𝗢𝗡 (𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱) Conducted a 128-hour technical review and manuscript refinement project involving proof verification, derivation auditing, logical consistency analysis, and journal-ready LaTeX preparation for advanced theoretical physics research. 𝗧𝗛𝗘𝗥𝗠𝗢𝗗𝗬𝗡𝗔𝗠𝗜𝗖 𝗦𝗬𝗦𝗧𝗘𝗠 𝗠𝗢𝗗𝗘𝗟𝗜𝗡𝗚 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Developing nonlinear thermal-energy balance models with analytical investigation and numerical validation. 𝗥𝗘𝗦𝗘𝗔𝗥𝗖𝗛 𝗠𝗔𝗡𝗨𝗦𝗖𝗥𝗜𝗣𝗧 𝗥𝗘𝗩𝗜𝗘𝗪 & 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗔𝗨𝗗𝗜𝗧 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Reviewing advanced mathematics and physics manuscripts for derivation verification, notation consistency, and technical rigor. 𝗠𝗔𝗧𝗛𝗘𝗠𝗔𝗧𝗜𝗖𝗔𝗟 𝗙𝗥𝗔𝗠𝗘𝗪𝗢𝗥𝗞 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗠𝗘𝗡𝗧 (𝗢𝗻𝗴𝗼𝗶𝗻𝗴) Evaluating and formalizing novel theoretical concepts, including AI-assisted research ideas, into mathematically defensible frameworks. 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 ✓ Mathematical Modeling ✓ Thermodynamic & Physical System Modeling ✓ Differential Equations (ODEs, PDEs, Dynamical Systems) ✓ Scientific Computing & Numerical Methods ✓ Research Manuscript Review & Validation ✓ Mathematical Proof Verification ✓ Scientific Programming (Python, MATLAB, Maple, Mathematica, Fortran) ✓ CFD, Heat Transfer & Transport Phenomena ✓ LaTeX, Overleaf & Publication Support ✓ Journal, Thesis & Technical Report Preparation 𝗦𝗢𝗙𝗧𝗪𝗔𝗥𝗘 • Python • MATLAB • Maple • Mathematica • Fortran • COMSOL Multiphysics • ANSYS Fluent • LaTeX • Overleaf 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 I typically begin with a focused milestone such as a model review, derivation audit, manuscript assessment, framework evaluation, or computational validation task. This establishes a clear technical roadmap before expanding into larger projects. If you need support with mathematical modeling, scientific computing, theoretical framework development, thermodynamic analysis, research manuscript review, or publication preparation, feel free to contact me. 𝗗𝗿. 𝗗𝘂𝗿𝗴𝗲𝘀𝗵 𝗞𝘂𝘀𝗵𝗮𝘄𝗮𝗵𝗮 𝗣𝗵𝗗 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝘀

Highly motivated and experienced Ph.D. in Mathematics with a passion for applying machine learning, data science and Artificial Intelligence. With a full-stack skillset and extensive training (evident form the professional certifications and specializations), I excel in building end-to-end solutions, from data cleaning and feature engineering to model development, deployment, and performance optimization. I leverage my strong mathematical foundation and diverse training to provide innovative solutions across various industry domains including deep learning, natural language processing, and generative models. My expertise covers areas like: • Predictive modeling for various domains like finance, healthcare, and marketing. • Natural Language Processing (NLP) for sentiment analysis, text generation, and chatbot development. • Computer vision for applications such as image classification, object detection, and anomaly detection. • Recommender systems for personalized product recommendations and content discovery. • Deep learning for building AI-powered solutions across diverse industries. Why Choose Me: • Strong theoretical foundation and diverse practical experience. • Full-Stack Expertise: Experience across data acquisition, preparation, analysis, modeling, and deployment. • Proven Track Record: Successful projects using various AI/ML techniques for diverse clients. • Passionate & Collaborative: Committed to understanding client needs and delivering impactful solutions. • Efficient & Results-Oriented: Focused on delivering high-quality work within deadlines Experience & Certifications: • Machine Learning Stanford University Specialization • IBM Machine Learning Professional Certificate • Deep Learning Specialization • IBM AI Engineering Professional Certificate • Advanced Data Science with IBM Specialization • Applied Data Science with Python Specialization • Natural Language Processing Specialization • Generative Adversarial Networks (GANs) Specialization So, are you looking for a skilled and passionate ML/AI expert to help you unlock the power of data? Let's connect and discuss your project!

Hi! I am a mathematician specializing in teaching and developing educational material. I can help with theoretical and practical math problems both related to Linear Algebra and Probability and Statistics. Besides, I have broad expertise in statistical modeling and machine learning as well. This includes working with mathematically modelling, optimization algorithms, data engineering and analysis. I am more than happy to get into further discussions or any trials so we can make sure for a smooth progress in the work. Looking forward to working with you!

I am an expert Prompt engineer/Langchain Developer for both GPT4 and Gemini AI Language Models, have free access to a document Q&A tool in my profile. I have expertise in designing END to END solutions (visualizations, machine learning models, AI automation, web applications, etc.) for a variety of complicated/ambiguous tasks both in the workforce as a researcher and consultant. My main area of expertise are with large language models, computer vision, financial models and time series data. Services: -Generative AI backend solutions in Python including Langchain, Autogen, Crewai, Haystack, MCP and Agentic workflows ($100/hour) - Machine Learning, Deep Learning, Analytics, Visualizations: in Python, R, Tableau ($80+/hour) - Cloud Solutions for analytics, time series analyses, automation: AWS technologies including (SageMaker, Lambda, Redshift, etc.) + GCP (kubernetes, BigQuery, CloudRun) (Depends on task, consults will be charged $50/hr, ETL pipelines and END-to-END solutions billed on size of project) - Web Applications: Python Streamlit, R Shiny or dotNET deployment ($50/hr) - Automation Consultation: ($50/hr) - Homework Help: Coding projects in R, Python or Matlab ($50 per assignment hours, ie. A final project would be 5+ assignment hours, etc.)

🏆 𝐓𝐨𝐩 𝟏% 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐭 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 (Ph.D. Georgia Institute of Technology, USA) ⭐⭐⭐⭐⭐ 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 Experienced AI consultant with over 13+ years of experience in delivering innovative and cutting-edge solutions for startups and enterprises. I am passionate about solving complex business problems and building scalable solutions that deliver growth and efficiency. ----------------------------------------------------------------------------------------------------------------------- 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • 𝖠𝖨 𝖠𝗀𝖾𝗇𝗍𝗌 & 𝖠𝗎𝗍𝗈𝗆𝖺𝗍𝗂𝗈𝗇 • 𝖠𝖨 𝖢𝗁𝖺𝗍𝖻𝗈𝗍𝗌 • 𝖵𝗈𝗂𝖼𝖾 𝖠𝗀𝖾𝗇𝗍𝗌 • 𝖫𝖫𝖬𝗌 𝖢𝗎𝗌𝗍𝗈𝗆𝗂𝗓𝖺𝗍𝗂𝗈𝗇 & 𝖣𝖾𝗏𝖾𝗅𝗈𝗉𝗆𝖾𝗇𝗍 • 𝖱𝖠𝖦’𝗌 𝖯𝗂𝗉𝖾𝗅𝗂𝗇𝖾𝗌 • 𝖯𝗋𝗈𝗆𝗉𝗍 𝖾𝗇𝗀𝗂𝗇𝖾𝖾𝗋𝗂𝗇𝗀 • 𝖠𝖨 𝖯𝗋𝗈𝖽𝗎𝖼𝗍 𝖣𝖾𝗏𝖾𝗅𝗈𝗉𝗆𝖾𝗇𝗍 • Data Pipelines • Machine Learning • 𝖠𝖨 𝖲𝗍𝗋𝖺𝗍𝖾𝗀𝗒 & 𝖳𝗋𝖺𝗂𝗇𝗂𝗇𝗀 ----------------------------------------------------------------------------------------------------------------------- 𝖫𝖾𝗍’𝗌 𝖼𝗈𝗅𝗅𝖺𝖻𝗈𝗋𝖺𝗍𝖾 𝖺𝗇𝖽 𝗌𝗁𝖺𝗉𝖾 𝗍𝗁𝖾 𝖿𝗎𝗍𝗎𝗋𝖾 𝗈𝖿 𝖠𝖨 𝗍𝗈𝗀𝖾𝗍𝗁𝖾𝗋. 𝖶𝗁𝖾𝗍𝗁𝖾𝗋 𝗒𝗈𝗎 𝖺𝗋𝖾 𝗅𝖺𝗎𝗇𝖼𝗁𝗂𝗇𝗀 𝖺 𝗌𝖼𝖺𝗅𝖺𝖻𝗅𝖾 𝖠𝖨 𝗉𝗋𝗈𝖽𝗎𝖼𝗍, 𝖾𝗆𝗉𝗈𝗐𝖾𝗋𝗂𝗇𝗀 𝗒𝗈𝗎𝗋 𝗍𝖾𝖺𝗆 𝗐𝗂𝗍𝗁 𝖠𝖨 𝗌𝗈𝗅𝗎𝗍𝗂𝗈𝗇𝗌, 𝗈𝗋 𝗍𝗋𝖺𝗇𝗌𝖿𝗈𝗋𝗆𝗂𝗇𝗀 𝗒𝗈𝗎𝗋 𝖻𝗎𝗌𝗂𝗇𝖾𝗌𝗌 𝗍𝗁𝗋𝗈𝗎𝗀𝗁 𝖠𝖨 𝖺𝗎𝗍𝗈𝗆𝖺𝗍𝗂𝗈𝗇. 𝖱𝖾𝖺𝖼𝗁 𝗈𝗎𝗍 𝗍𝗈 𝖽𝗂𝗌𝖼𝗎𝗌𝗌 𝗒𝗈𝗎𝗋 𝗀𝗈𝖺𝗅𝗌. 𝖨 𝖺𝗅𝗐𝖺𝗒𝗌 𝖽𝖾𝗅𝗂𝗏𝖾𝗋 𝗁𝗂𝗀𝗁-𝗊𝗎𝖺𝗅𝗂𝗍𝗒 𝗐𝗈𝗋𝗄, 𝗐𝗂𝗍𝗁 𝗈𝗉𝖾𝗇 𝖼𝗈𝗆𝗆𝗎𝗇𝗂𝖼𝖺𝗍𝗂𝗈𝗇, 𝖺𝗇𝖽 𝖿𝗎𝗅𝗅 𝗈𝗐𝗇𝖾𝗋𝗌𝗁𝗂𝗉 𝖿𝗋𝗈𝗆 𝗌𝗍𝖺𝗋𝗍 𝗍𝗈 𝖿𝗂𝗇𝗂𝗌𝗁.

I excel in Machine Learning (ML), Deep Learning (DL), Data Analysis, Large Language Models (LLM), Language Chain (LangChain), and Automation with 7+ years of experience. 🤖 Machine Learning & AI Development: Deep Learning & Neural Networks: Expertise in TensorFlow, PyTorch, and Keras for sophisticated model building. Natural Language Processing (NLP): Proficient in SpaCy, NLTK, and OpenAI models for advanced NLP applications. Computer Vision: Developing state-of-the-art image recognition systems with OpenCV. Large Language Models (LLMs): Skilled in GPT-4o, GPT-4, GPT-3.5, Claude, Llama 3, Llama 3.1, and Mistral, with LangChain for multi-agent systems. Scalable Vector Search: Utilizing Pinecone, Chroma, and FAISS for efficient vector search. Speech Recognition & Transcription: Implementing Whisper for fast and accurate speech-to-text solutions. 🌐 Web Scraping & Data Extraction: Advanced Web Scraping: Utilizing Selenium, Beautiful Soup, and Scrapy to extract valuable data, even from complex sites. Data Manipulation & Cleaning: Precision handling and analysis using pandas. Real-time Data Feeds: Automated data extraction for up-to-date market analysis and strategic insights. ⚙️ Automation Expertise: Automation Platforms: Extensive experience with Make, Zapier, and n8n for seamless workflow automation. API Integrations: Expertise in connecting APIs and streamlining data workflows to synchronize platforms and applications in real-time. Multi-step Automation: Building complex, logic-driven automation scenarios to reduce manual tasks and enhance efficiency. Custom Scripts: Writing Python-based scripts to automate tasks, process large datasets, and handle integration challenges. Voice AI Automation: Integrating VAPI-powered voice bots into automated workflows for appointment booking, customer feedback collection, and real-time audio interactions.

I'm a Ph.D. in Bioinformatics specialized in scRNA-seq, metabarcoding, metagenomics, population genetics, biostatistics, structural bioinformatics, and phylogenetics. I hold a master's and bachelor's degree in Biotechnology with an emphasis in Bioinformatics, Molecular Biology, and Genetic Engineering. As a gold medal winner (Best Hardware category) of iGem 2022 with several published research papers and peer review experience for international journals, I offer expert assistance in: Core Bioinformatics & Research: • Experimental design and analysis • Research paper review and writing • Plasmid design and cloning strategies • NGS data analysis (RNA-seq, scRNA-seq, metagenomic) • Population genetics studies • Protein structure analysis • Phylogenetic analysis • Statistical analysis of biological data • Academic mentoring and supervision Biological Data Science Expertise: • Machine learning applications in biology (supervised/unsupervised learning) • Predictive modeling for biological systems • Multi-omics data integration and analysis • Big data handling and cloud computing for genomics • Database design and management for biological datasets • Data visualization and interactive dashboards for biological insights • Algorithm development for biological pattern recognition • Automated analysis pipelines and workflow optimization With over 50 successful projects delivered to international biotechnology companies and research labs with top-tier feedback, I bridge the gap between complex biological data and actionable scientific insights. Whether you are a startup needing a robust NGS pipeline or a research group looking for high-level data interpretation and scientific writing, I provide the expertise of a published scientist with the agility of a senior freelancer.

My prior involvement, which I believe as being relevant, comprise a wide array of sub-disciplines at the annex of mathematics, statistics, and physics modeling. To associate with the current work at EMC, my research has underpinnings in machine learning and AI. But, to a more viable degree, while in juncture with modeling of certain stochastic events or definitions, I've taken special interest in the development of a revised voter model for unstructured and dynamic data. The interest, especially with the recent and far extensive historical tract of public opinion and asserted belief when combined with policy making has always been of central focus. From within this, the interest existed in realizing a regressive framework for plurality or changes in variability for a large group of people. The social and political aspect of choice coupled to polls when referencing 'public' or 'popular' opinion has shown application in the linear expression of dynamical behavior. The voter model, which is partial to the Ising model for interacting particles has been sought as a metric for denoting probabilistic or random factors of events. A great number of ways to infer this in relation to systemic features within rarefied models of society and stratified social behavior when composing opinion has shown induction. When influence is highest and opinion assumes tractability to a version of passivity, the expression of a Markov process for the voter model is implied. The loss of memory and mere reactant framework for establishing relations, is a key feature to denote further structure that draws upon topological persistence. From here, I'd also like to state that aside from constructing and revising the voter model, I also parse data with the TDA (topological data analysis) toolkit for R. The work of Gunnar Carlsson is a viable academic reference in continuation of this.

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous multi-agent systems built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

𝐖𝐞𝐥𝐜𝐨𝐦𝐞! I'm Usama Waqar, a seasoned 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭, 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, and 𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐬𝐭 with over 10 years of hands-on experience in 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, and 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠. I specialize in designing and deploying 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 and 𝐁𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 solutions that uncover insights, optimize decision-making, and drive measurable business outcomes. From predictive modeling and intelligent automation to interactive dashboards and scalable ETL pipelines, I bring an end-to-end approach that bridges the gap between 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 and 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐦𝐩𝐚𝐜𝐭. 💼 𝐖𝐡𝐚𝐭 𝐈 𝐎𝐟𝐟𝐞𝐫 🤖 𝐀𝐈, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐋𝐋𝐌 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌𝐬): Expertise in building intelligent applications using LangChain, Hugging Face, RAG, Vector DBs, OpenAI API, Gemini API, and custom-trained models tailored to specific domains. 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏): Designed and deployed text analysis tools, Q&A systems, conversational agents, and summarization pipelines using modern NLP frameworks. 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐎𝐂𝐑: Implementation of vision-based solutions for document parsing, object detection, and visual data analysis. 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐈 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬: Tailored AI solutions across industries, such as healthcare, finance, and telecom, combining domain expertise with machine learning. 📊 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Creation of interactive dashboards and insights using Qlik Sense, Qlik View, Power BI, Tableau, and Alteryx. 𝐄𝐓𝐋 & 𝐃𝐚𝐭𝐚 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Development of scalable ETL pipelines using SSIS, APIs, CRMs, and automation tools like NPrinting to streamline reporting. Predictive & Advanced Analytics: Forecasting models, churn prediction, and KPI dashboards aligned with strategic business goals. 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: Implementation of data quality frameworks, transformation standards, and enterprise-grade scalability practices. ☁️ 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭, 𝐌𝐋𝐎𝐩𝐬 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐌𝐋𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Deployment of AI/ML models on AWS, Azure, and GCP using CI/CD pipelines and containerized environments. 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Creation of robust backend systems and APIs to integrate machine learning into real-world applications. 🚀 𝐊𝐞𝐲 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 & 𝐂𝐚𝐬𝐞 𝐒𝐭𝐮𝐝𝐢𝐞𝐬 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐁𝐨𝐨𝐤 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐂𝐡𝐚𝐭𝐛𝐨𝐭: Built using open-source LLMs, Qdrant vector DB, and semantic search for real-time recommendations. 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐍𝐨𝐭𝐞 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐢𝐬𝐞𝐚𝐬𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧: Mapped medical notes to ICD-10 and HCC codes, improving clinical documentation and coding accuracy. 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐅𝐫𝐚𝐮𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦: Developed an automated pipeline integrating multi-source data; reduced fraud by 25% via real-time dashboards. 𝐁𝐈 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐄𝐓𝐋 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Led a successful Qlik to Power BI migration, improving performance and report delivery time. 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐈𝐨𝐓: Built IoT-driven analytics systems for manufacturers; decreased downtime by 20% using real-time monitoring. 🔑 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝: Demonstrated impact through projects with startups and Enterprises. 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐎𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩: From ideation to deployment—delivering ROI-driven solutions aligned with business goals. 𝐆𝐥𝐨𝐛𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: Successfully executed Artificial Intelligence / Business Intelligence projects across the USA, Middle East, Russia, and Australia. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞: Skilled in Python, SQL, Power BI, Qlik, Tableau, LangChain, Hugging Face, PyTorch, and cloud platforms.𝐂𝐥𝐢𝐞𝐧𝐭-𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Committed to delivering high-quality results, on time, focusing on transparency, value, and impact. 🎓 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 IBM Data Science Professional Certificate – Coursera Deep Learning Specialization by Andrew Ng – Coursera Complete Generative AI Course with LangChain & Hugging Face – Udemy Qlik Sense Analytics Development – Awari Alteryx Foundational Micro Credential – Alteryx 📞 𝐋𝐞𝐭’𝐬 𝐓𝐚𝐥𝐤! Curious about how AI can transform your business? Book a 𝐟𝐫𝐞𝐞 𝟑𝟎-𝐦𝐢𝐧𝐮𝐭𝐞 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 𝐭o explore how AI and data science can unlock new growth opportunities for your business.