A skilled Machine Learning expert specializing in NLP and computer vision with extensive experience in end-to-end workflows comprising model training, fine-tuning, and deployment. Completed over 100 projects, including real-time person detection using YOLOv8 [1], OCR solutions with Tesseract [2], and AI chat engines leveraging OpenAI technologies [3]. Proficient in Python, TensorFlow, Keras, and FastAPI, applying these technologies to build robust ML solutions for diverse applications. Machine learning and other expertise - - Python - HuggingFace/transformers, YOLOv8 - Keras, PyTorch, TensorFlow - OpenCV - SciKit Learn - FastAPI, Docker, ReactJS Types of projects I have completed in recent years - #1. Computer Vision - - OCR with Textract, Tesseract, DocTR - Real-time person detection and recognition - Image segmentation - Image depth measurements #2. Natural Language Processing/Understanding/Generation - Chat engine with HuggingFace, GPT, LangChain, OpenAI, ChromaDB - Virtual Personal Assistant Whisper, LLaMA, Tacotron - Customer Support with Whisper, GPT4, GoogleTTS, Twilio - Tweet Generator - Recommendation Systems

I am a 𝗣𝗵.𝗗. 𝗶𝗻 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 and the founder of a cutting-edge startup specializing in AI and ML solutions. I offer a unique blend of academic expertise and entrepreneurial spirit. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ✔ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀): Deep experience with GPT-4, GPT-3.5, ChatGPT, Whisper, BERT, and more. ✔ 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 & 𝗠𝗟 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: Proficient in LSTM, RNN, CNN, Random Forest, Learning to Rank, Regression, and other advanced algorithms. ✔ 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Comprehensive skills in data analysis, modeling, and implementation. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸: ✅ 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python (full scientific stack), R ✅ 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: TensorFlow, PyTorch, Keras ✅ 𝗧𝗼𝗼𝗹𝘀: NLTK, Docker 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: ➞ Proven track record in building and scaling SaaS products. ➞ Expertise in translating complex AI and ML concepts into real-world, impactful solutions. ➞ A passion for pushing the boundaries of AI and ML to deliver innovative results. Let’s Collaborate: Transform your AI and ML challenges into groundbreaking solutions!

With expertise in AI and cloud engineering, and backed by a Master’s in Systems Engineering plus over 7 years of experience, I excel at building and deploying innovative solutions. Certified by IBM in Machine Learning, Deep Learning, Data Science, and Data Analytics, as well as Microsoft Security, I tackle complex AI challenges head-on. My cloud engineering experience spans AWS and Azure, with a proven track record in architecting, administering, and optimizing cloud resources. Let’s leverage cutting-edge technology to build something remarkable together!

Hello, I am investing all my time and resources in Upwork ☝ ✅ AWS Certified Solutions Architect Professional ✅ AWS Certified Solutions Architect Associate ✅ AWS Certified Cloud Practitioner I can train, fine tune and deploy production-ready Machine Learning models. *** Degrees *** ✅ Master degree in Automation and Control systems ✅ Bachelor's degree in Engineering Physics. *** Skills *** ➩ AI\Machine Learning--(Scikit-Learn, TensorFlow,HuggingFace,Pytorch) ➩ Programming Languages : Python, C#, Matlab ➩ Microcontrollers--(Raspberry Pi, Arduino) ➩ Mobile Development --(Xamarin) I have experience in hardware as well as the software side of project development. My experience in details is following : AI\Machine Learning 5 years of experience in AI\Machine Learning include: ⬣ PROGRAMMING LANGUAGES : Python, MATLAB ⬣ ML/DL LIBRARIES : TensorFlow, Scikit-Learn, Keras, Pandas, Numpy, OpenCV,Pytorch, HuggingFace ⬣ COMPUTER VISION : 2D,3D Object detection/tracking/pose estimation ⬣ Creating regression and similarity search models *** Certificates*** ✅ AWS Certified Solutions Architect Professional ✅ AWS Certified Solutions Architect Associate ✅ AWS Certified Cloud Practitioner ✅ IELTS certificate Overall Band Score 7.0 Reading 8.5 Writing 6.5 Listening 6.0 Speaking 6.5 ------------------------------------------------------------------------------------------- I AM READY TO IMPLEMENT YOUR PROJECT AND CONVERT YOUR IDEAS INTO A REALITY!

I'm a Data Scientist and Machine Learning Engineer with 5+ years of experience helping SMEs turn messy data, unstructured text, and manual workflows into intelligent, automated systems that drive real business outcomes. My core strength lies in building production-ready ML and NLP solutions, from custom LLM applications and RAG pipelines to fully autonomous AI agents, that don't just work in a notebook but actually perform at scale. I've worked across healthcare, fintech, e-commerce, SaaS, and customer support, and I bring both the technical depth and business thinking to every project. You're probably sitting on thousands of support tickets, internal documents, customer conversations, or operational data that your team processes manually. Leads slip through the cracks, customers wait too long for answers, insights stay buried in spreadsheets, and your competitors are already automating what your team still does by hand. The longer you wait, the more it costs you in time, in errors, and in missed opportunities. 𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐔𝐦𝐛𝐫𝐞𝐥𝐥𝐚: 1. LLMs & Generative AI: OpenAI API (GPT-4, GPT-3.5), Claude, Gemini API, LangChain, LlamaIndex, RAG Pipelines, Prompt Engineering, Zero-shot & Few-shot Reasoning, In-context Learning, Text-to-SQL 2. Agentic AI: Multi-agent systems, LangGraph, CrewAI, AutoGen, Tool-use & Function Calling, Autonomous Workflow Agents, Memory & Planning Architectures 3. NLP: Named Entity Recognition, Text Classification, Sentiment Analysis, Semantic Search, Vector Embeddings (OpenAI, Sentence-Transformers), Topic Modeling, Summarization, Wav2Vec2.0, Whisper, HuBERT 4. Machine Learning & Deep Learning: CNN, LSTM, Transformer-based Models, Diffusion Models, LoRA/QLoRA Fine-tuning, Ensemble Modeling, Scikit-learn, XGBoost, PyTorch, TensorFlow 5. Data Science & Analytics: Exploratory Data Analysis, Statistical Modeling, A/B Testing, Forecasting, Pandas, NumPy, SQL, Tableau, Power BI 6. MLOps & Deployment: FastAPI, Flask, Streamlit, AWS (Bedrock, EC2, Lambda), CI/CD Pipelines, Apache Airflow, n8n, PostgreSQL, Vector Databases (Pinecone, Weaviate, ChromaDB) I design and deploy AI systems that automate customer support with 90%+ resolution accuracy, build RAG-powered knowledge assistants that cut research time by 10x, deploy autonomous agents that handle multi-step workflows end to end, and turn raw business data into predictive models that drive smarter decisions. My clients don't hire me for the tech. They hire me for the results. That means fewer manual errors, 60 to 80% faster processing, reduced operational costs, and decision-making backed by real-time intelligence. Whether it's an AI agent saving $50K/year in support overhead or an NLP pipeline that replaces 3 full-time analysts, I build solutions where the ROI is obvious within weeks, not months. Every engagement starts with a 𝐅𝐑𝐄𝐄 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 where I assess your data challenge, identify quick wins, and map out a clear roadmap. I deliver production-grade systems with clean documentation, so your team isn't dependent on me forever. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯, 𝗰𝗼𝘀𝘁𝘀 𝘆𝗼𝘂 𝗮𝗯𝘀𝗼𝗹𝘂𝘁𝗲𝗹𝘆 𝗻𝗼𝘁𝗵𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝘀𝘁 𝘁𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝘀 𝘆𝗼𝘂 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗴𝗲𝘁𝘀 𝘆𝗼𝘂𝗿 𝘃𝗶𝘀𝗶𝗼𝗻. Thanks Aneeba A.

I'm a Deep Learning Engineer specializing in Machine Learning, Deep Learning, NLP, and Computer Vision, dedicated to building scalable, data-driven solutions that drive real innovation. Whether it’s intelligent chatbots, automation, or advanced AI models, I craft solutions tailored to business needs—optimizing workflows, extracting deep insights, and enhancing efficiency with cutting-edge AI. I've worked on various AI domains such as Computer Vision, Deep Learning, Natural Language Processing and Reinforcement Learning. I've applied AI in medicine, academics, and industry to automate data annotation and model deployment processes. ✅ What I Offer: 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Leverage advanced neural networks to model complex patterns in data, enhancing the performance of applications across generative AI, computer vision, and NLP. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Delve into the realm of creative AI, where machines produce realistic and novel content across various mediums. 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Equip your systems with the ability to understand and interpret visual data, enabling applications like image recognition and object detection. 𝐍𝐋𝐏: Empower your projects with language understanding capabilities, facilitating tasks such as sentiment analysis and text generation. 💡 Why Collaborate with Me? 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 🔹 My Expertise Includes: Deep Learning (CNN, Neural Networks, Transfer Learning) Computer Vision (Image Classification, Object Detection, Segmentation) Frameworks: PyTorch, TensorFlow, Keras Medical Imaging AI (MRI, Tumor Detection) Model Optimization & Deployment 🔹 What I Deliver: Accurate and production-ready AI models Scalable deep learning pipelines Clean, maintainable, and efficient code I have built systems like brain tumor detection, AI-based classification models, and intelligent automation pipelines. My focus is on solving real-world problems using deep learning with high accuracy and efficiency. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I am adept at utilizing a wide array of tools and frameworks, ensuring optimal implementation and performance. 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐅𝐨𝐜𝐮𝐬: Stay ahead of the curve with cutting-edge solutions tailored to your specific requirements. 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐬𝐭𝐚𝐜𝐤: Python (Numpy, pandas, OpenCV, Keras, PyTorch), AWS, Google Cloud, GPU, machine learning APIs, Docker. Let's connect and discuss how we can leverage these technologies to achieve your goals.

Hi. Its Talha - Skilled AI engineer with 3 years of experience - Winner of 3 international deep learning competitions in NLP and medical imaging hosted by Coda-lab, TIRA, and Grand Challenge - Creator of a comprehensive Udemy course on deep learning competition strategies - Author of 15 publications in fields like medical imaging, NLP, deep learning, and biomedical signal processing, with over 150 citations and an h-index of 7 - Holds a master's degree in data science - Specializes in NLP, particularly in developing ChatGPT chatbots using Langchain - GitHub profile: talhaanwarch for project exploration - Committed to delivering high-quality, error-free results; ideal candidate for your project

I am a senior machine learning engineer at an AI real estate startup. I have had the pleasure of working in the machine learning space all 8 years of my professional career. I am passionate about building solutions that provide tangible value to the end customer. I began my AI career as a researcher at MIT Lincoln Laboratory. While at MIT LL, I worked on projects revolving around computer vision, NLP, and graph analytics. After MIT LL, I joined Avitas, GE venture as a computer vision engineer. Avitas flew drones around well pads and captured IR/RGB video and LiDAR data. My role was to develop solutions, mainly deep learning, to input the video/lidar data and facilitate inspection of the well pads. Baker Hughes bought Avitas. Shortly after, I joined FoxyAI as their first full time hire. Currently at FoxyAI, I oversee all AI development. Programming: Python, JavaScript/HTML/CSS, Java, Matlab Machine Learning: PyTorch, TensorFlow, Keras, Scikit-learn, Caffe Computer Vision: OpenCV, Pillow, Image Generation (CLIP, DALLE, Dreambooth), YOLO, Mask-RCNN, LiDAR, 3D Reconstruction, SWIN-Transformer, OCR, UNET Data Science: Numpy, Pandas, Scipy, Matplotlib, Seaborn Misc: various AWS tools, Docker, MongoDB, FastAPI, Django, Flask, Git, Jira, UNIX tools/admin

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

Want to deploy production-ready AI models, automate complex visual/text workflows, or build rigorous data pipelines? I bridge the gap between advanced research and scalable engineering. As an ML Engineer and Data Scientist with a Master’s degree, I specialize in building deterministic, high-performance AI systems. From fine-tuning LLMs and training computer vision models to engineering leakage-aware research datasets, I deliver clean, reproducible, and production-grade code. Whether you are a startup needing a custom RAG pipeline or an enterprise optimizing massive datasets, I ensure your models perform with mathematical precision. 🚀 CORE CAPABILITIES • AI Systems, LLMs & Automation Building robust RAG pipelines, structured data extraction systems, and automated workflows using Gemini, OpenAI, and Claude APIs. Expert in prompting strategies that yield deterministic, enterprise-grade outputs. • Natural Language Processing (NLP) & Dataset Engineering Experienced with Hugging Face Transformers for text classification, summarization, and multi-label categorization. Specialized in building leak-aware, balanced training/validation pipelines (e.g., CVEfixes vulnerability dataset parsing). • Computer Vision & Synthetic Data Generation Hands-on experience with object detection, image segmentation (U-Net variants), and custom preprocessing. I design synthetic image/video generation pipelines using state-of-the-art tools (Runway, Vidu, Veo, Stable Diffusion) for specialized model training and simulation datasets. • Machine Learning & Deep Learning (PyTorch & TensorFlow) End-to-end model development, validation, and optimization using PyTorch, TensorFlow, and Scikit-Learn. Expert at resolving class imbalances, handling massive datasets, and model benchmarking. • Statistical Modeling & Time Series Deep mathematical background in optimization, logistic/linear regression, hypothesis testing, and time-series forecasting. Experienced with complex real-world data analysis (e.g., NHANES health prediction models). • Data Quality & Engineering Advanced data cleaning and curation using Python, R, CleanLab, and Argilla to isolate and eliminate noise, outliers, and duplicates before they hit your training loop. 🛠️ TECHNICAL TOOLKIT • Languages: Python, R, Bash, SQL • AI/ML Frameworks: PyTorch, TensorFlow, Scikit-Learn, Hugging Face • Data Tools: CleanLab, Argilla, Pandas, NumPy, Excel (Pivot Tables) • Visualization: R (ggplot2), Python (Matplotlib, Seaborn) • Generative Media: Veo, Runway, Vidu, Stable Diffusion API Let’s turn your data into a competitive advantage. Click the "Invite to Job" button to discuss your project requirements!