I build machine learning, computer vision, and data science systems that are meant to be tested, improved, and used. Most of my work is in computer vision, deep learning, medical imaging, image classification, object detection, segmentation, model evaluation, and applied ML workflows. On Upwork, I have completed projects in machine vision, X-ray model development, padel analytics, sign language translation, facial image classification, and health data analysis, with 100% Job Success and 5-star client feedback. I can help with: - Computer vision models for detection, segmentation, classification, OCR, and visual inspection - Deep learning with PyTorch, TensorFlow, YOLO, CNNs, Transformers, and OpenCV - Medical imaging and healthcare ML prototypes - Sports and video analytics pipelines - Data cleaning, EDA, feature engineering, model training, and evaluation - Model debugging, threshold tuning, error analysis, and performance reporting - FastAPI, Streamlit, and dashboard apps for ML workflows - AI automation and LLM workflows when they support a real technical system I care about the parts that usually decide whether an ML project succeeds: clean datasets, reproducible experiments, useful evaluation, readable reports, and applications that are easy to test. If you need help with a computer vision, deep learning, or applied ML project, send me the details. I will tell you what approach makes sense, what can be built, and what risks to watch before development starts.

Machine learning projects frequently stall when models need to run reliably in production. I design backend systems and data pipelines that allow AI and analytics solutions to operate consistently at scale. Where I Help =========== 🧠 Designing backend systems that serve machine learning predictions reliably. 🧠 Building data pipelines that prepare and process information efficiently. 🧠 Integrating predictive models into applications and workflows. 🧠 Creating scalable APIs supporting AI-driven features. 🧠 Structuring architectures that grow alongside increasing data volumes. How I Work ========== ⚙️ Systems designed for stability and observability from the beginning. ⚙️ Data flow and performance guide architectural decisions. ⚙️ Deployment strategies ensure models remain maintainable over time. ⚙️ Close collaboration between data science and engineering teams. Solutions Delivered ================= 🧩 Predictive analytics platforms. 🧩 ML deployment and inference systems. 🧩 Data processing and analytics pipelines. 🧩 Backend infrastructure supporting AI applications. 🧩 High-performance API services. Tech Expertise ============= 🐍 Python services for ML integration and backend development. 🧠 TensorFlow and PyTorch model implementations. ⚡ FastAPI and microservice architectures for scalable systems. 🗄️ PostgreSQL and structured database design. ☁️ Cloud infrastructure supporting distributed workloads. Working Style ============= 🤝 Technical decisions aligned with long-term scalability. 🤝 Incremental delivery ensures predictable progress. 🤝 Clear coordination across engineering teams. 🤝 Systems built for maintainability beyond initial deployment. Reliable infrastructure turns machine learning into a sustainable product capability.

𝐀𝐈 Automation Expert | 𝐋𝐋𝐌𝐬, 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝟏𝟎𝟎+ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 Machine Learning 𝐌𝐨𝐝𝐞𝐥𝐬 🚀 I architect and deploy production-grade AI systems that solve complex business problems, whether they involve pixels, text, or autonomous actions. With over 8 years of dedicated experience, I have successfully deployed more than 100 machine learning models into production. My expertise spans the full AI spectrum—from extracting critical insights from visual data with Computer Vision to building intelligent language systems with LLMs and autonomous AI Agents. My work has been instrumental in helping startups build their core technology, directly contributing to securing over $1 Million in seed funding (e.g., Colossyan, Proofminder, SmartEnds, NetraAI, MTailor, PreceptionAG). I manage the entire AI lifecycle, from data strategy and model fine-tuning to scalable deployment on both cloud and edge devices. Whether you need a cutting-edge Generative AI solution, an intelligent agent to automate workflows, or a high-performance computer vision system, I deliver robust, scalable, and commercially viable results. 🔹 𝐌𝐲 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 🔹 𝗟𝗟𝗠 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: • 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: Designing and building goal-oriented agents and complex workflows using LangChain and LlamaIndex. • 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚): Developing advanced Q&A systems over private documents and data. • 𝗖𝘂𝘀𝘁𝗼𝗺 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗡𝗟𝗣: Building and deploying intelligent conversational AI for various business applications. • 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Fine-tuning open-source LLMs and integrating with APIs from OpenAI (GPT-4), Anthropic, and Google. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: • 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: High-accuracy systems for agriculture, waste management, and traffic analytics (YOLO, MMDetection). • 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 (𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 & 𝗜𝗻𝘀𝘁𝗮𝗻𝗰𝗲): Precise pixel-level classification for detailed scene understanding. • 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗩𝗶𝘀𝗶𝗼𝗻 (𝗔𝗜 𝗔𝘃𝗮𝘁𝗮𝗿𝘀 & 𝗟𝗶𝗽-𝗦𝘆𝗻𝗰): Building and productionizing realistic video avatar systems. • 𝗗𝗲𝗽𝘁𝗵 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 & 𝟯𝗗 𝗥𝗲𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻: Applications in fill-level estimation and synthetic data generation. 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗠𝗟 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 (𝗠𝗟𝗢𝗽𝘀): • 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: Annotation pipelines (CVAT), synthetic data generation, and vector database management (Pinecone, FAISS). • 𝗠𝗼𝗱𝗲𝗹 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Quantization (FP16/INT8), pruning, and optimization for performance. • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Cloud (AWS Lambda, Serverless) and high-performance Edge AI (NVIDIA Jetson, TensorRT). 🔹 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝 & 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 🔹 • 𝗥𝗔𝗚-𝗯𝗮𝘀𝗲𝗱 𝗛𝗼𝘀𝗽𝗶𝘁𝗮𝗹 𝗥𝗲𝘃𝗶𝗲𝘄 𝗦𝘆𝘀𝘁𝗲𝗺: Developed a RAG system to analyze thousands of patient reviews, extracting actionable insights to improve hospital services. • 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗮 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗖𝗼𝗺𝗽𝗮𝗻𝘆: Engineered an autonomous agent to automate internal knowledge retrieval and business workflows, boosting team productivity. • 𝗣𝗿𝗼𝗼𝗳𝗺𝗶𝗻𝗱𝗲𝗿 (𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲): Architected over 300 ML models for crop monitoring & counting, currently running in production across millions of acres. See the system overview • 𝗦𝗺𝗮𝗿𝘁𝗘𝗻𝗱𝘀 (𝗪𝗮𝘀𝘁𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁): Deployed a proprietary vision-based fill-level detection technology using optimized edge models. • 𝗖𝗼𝗹𝗼𝘀𝘀𝘆𝗮𝗻 / 𝗦𝗽𝗲𝗮𝗸𝗼𝗹𝗼𝗴𝘆𝗔𝗜 (𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜): Built the core AI Avatar MVP that led to a $1M+ funding round and engineered end-to-end systems for live-streaming. 🔹 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 🔹 𝗔𝗜 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangChain, LlamaIndex, PyTorch, TensorFlow, Hugging Face, Keras, Scikit-Learn, OpenCV, MMSeries. 𝗠𝗼𝗱𝗲𝗹𝘀 & 𝗔𝗣𝗜𝘀: OpenAI (GPT-4), Anthropic (Claude), Gemini, Open-Source LLMs (Llama, Mistral). 𝗠𝗟𝗢𝗽𝘀 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: TensorRT, OpenVINO, ONNX, Docker, AWS (Sagemaker, Lambda), GCP, ClearML. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗗𝗮𝘁𝗮 𝗧𝗼𝗼𝗹𝘀: Pinecone, FAISS, Weaviate, CVAT, Roboflow, Numpy, Pandas. You're not just hiring a developer; you're partnering with a full-stack AI expert who understands how to translate cutting-edge technology into tangible business value. Let's discuss how we can build your next-generation AI solution.

Greetings! As a dedicated Python Expert and Technical Writer, I am thrilled to offer you comprehensive support in your research. My services are Machine learning, deep learning model development, fine tune model and synopsis writing, thesis composition, and presentation preparation for your research work. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐭𝐡𝐚𝐭 𝐈 𝐨𝐟𝐟𝐞𝐫 📋 𝑭𝒐𝒓 𝑷𝒓𝒐𝒑𝒐𝒔𝒂𝒍 𝑾𝒓𝒊𝒕𝒊𝒏𝒈 I will guide you through the entire process, starting from selecting a suitable topic to formulating an initial plan. This plan will cover key aspects such as research questions, objectives, problem statements, and identifying the research gap. 📋 𝑴𝒐𝒅𝒆𝒍 𝑫𝒆𝒗𝒆𝒍𝒐𝒑𝒎𝒆𝒏𝒕 I can Develope and fine tune machine learning and deep learning models aimed at addressing real-world challenges. 📋𝑻𝒉𝒆𝒔𝒊𝒔 𝑷𝒓𝒐𝒐𝒇𝒓𝒆𝒂𝒅𝒊𝒏𝒈 𝒂𝒏𝒅 𝑬𝒅𝒊𝒕𝒊𝒏𝒈 I will assist you in compiling your thesis and dissertation. This includes organizing the content chapter-wise, encompassing Introduction, Literature Review, Proposed Methodology, Results and Discussion, and Conclusions and Future Work. As you approach the final stage of your research, I will be there to help you craft a compelling presentation that encapsulates the essence of your entire research journey. 🚦 𝑺𝒆𝒓𝒗𝒊𝒄𝒆𝒔 𝑰 𝑶𝒇𝒇𝒆𝒓𝒆𝒅: ✨Research Articles ✨Thesis Writing ✨Review Articles ✨Systematic Literature Review ✨Machine Learning Model Development ✨Deep Learning Model Design and Implementation ✨Model Fine-Tuning and Optimization ✨ Data Preprocessing and Feature Engineering ✨ Code Review and Debugging Assistance ✨ Dataset Collection and Annotation ✨Blog Posts for Academic Websites Feel free to reach out anytime. I am committed to understanding and meeting your needs, with no initial cost involved. Drop me a message, and let’s collaboratively explore how I can assist you. I am available 24/7 and can adjust to your time zone. Thank you for considering my services. Best Regards, 𝑫𝒓. 𝑨𝒌𝒌𝒂𝒔𝒉𝒂 𝑳𝒂𝒕𝒊𝒇

✅ Rewarded as 🏆 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 🏆 by Upwork (𝗧𝗼𝗽 𝟏%) ✅ 8555+ hours and still counting ✅ 86+ jobs completed successfully ✅ 100% Job Success (Client Satisfaction Ratio) ✅ High-Quality Work ✅ Budget-friendly ✅ Fluent English ✅ Flexible Availability (EDT/GMT/AEST) Dear Client, I am a Python-focused AI/ML Engineer with over 10 years of experience developing scalable backend applications, AI-powered platforms, and cloud-integrated solutions using Python, Django, Flask, and FastAPI. I have worked on more than 60 Django /Flask / FastAPI websites and web applications which include Enterprise level applications , eCommerce websites, Mobile websites, Healthcare websites along with JavaScript frameworks like AngularJS, ReactJS and Vue.Js. My experience also includes designing REST APIs, building data processing pipelines, deploying AI models, and developing production-grade web applications across AWS and Azure environments. I'm in the Top 4% overall in StackOverflow. I have created several Python projects for the last 10+ yrs with different libraries. I am a certified Python full stack developer from different institutions. ✅✅✅Core Python✅✅✅ Always used Python latest version along with unittest, PEP standard and KISS and OWASP security followed for coding. Always follow SOLID principles so that all my codes can be understood and extended by any good developer later. Almost all methods are tested by unittest various test cases. Each method cheked by profiling for its better performances. ✅✅✅REST API✅✅✅ All REST API are Open API standard and most of them are with Swagger defined. So they are definitely higest standard in every direction. ✅✅✅Django✅✅✅ I have used mostly Django and Flask framework but also use Tornado async. Django, Django CMS, Django Rest framework, Celery, sentry-sdk, django-extensions, django-rest-framework-jwt, django-rest-swagger, django-simple-history, django-model-utils, django-storage, django-allauth, dubug toolbar etc. ✅✅✅Flask✅✅✅ Flask, gunicorn, flask debug toolbar, pytest, sqlalchemy, marshmallow, psycopg2, celery, redis, wtf, flask-login, flask-limiter and many more. ✅✅✅Databases✅✅✅ I am expertise with different databases like PgSql, Mysql, Mariadb, Mongodb, nosql etc. ✅✅✅Cloud✅✅✅ I have working to create micro services application in different cloud platform say AWS, GCP and Azure. ✅✅✅AWS✅✅✅ Some of the tools I used in AWS various tools including CodeCommit, CodeBuild, CodeDeploy, CodePipeline, Cli, EC2, S3, EBS, DynamoDB, RDS, Lambda with Boto3, VPC, LightShell, SageMaker, Kinesis, SQS, SNS, AppSync, Beanstack, ECR, ECS, Farget, EKS, SES, ElastiCache, Cloudwatch, IAM, Cognito, ApiGateway, Shield, Sso, Route53, CloudFront, ELB, ALB. ✅✅✅Artificial Intelligence✅✅✅ My work is not limited with general Python and MVC based work. But I am a certified Machine Learning and Deep Learning engineer as well. Used different libraries including Tensorflow, Keras, Numpy, Pandas, Matplotlib, ScikitLearn etc. ✅✅✅Frontend ✅✅✅ Front end I have been using from HTML5 to Javascript, Jquery, Angular Js , React Js and Vue Js for years. ✅✅✅Development environment and process✅✅✅ Always use the highly secure development environment along with Git, Docker and Kubernetes. Experience in entire software development life cycle and decision-making. Skilled at building effective and productive working relationship with clients and team members. Software Product/Tools worked with: Python / Django / Flask / Pyramid, PostgreSQL / MySQL / SQL Server / Oracle, JavaScript, AJAX, jQuery, PHP, Amazon Web Services, Heroku, Google App Engine, Google API, Fedex API, Stripe API, PayPal API, HIPAA Compliance, AngularJS, ReactJS, OpenERP / Odoo, Docker, Redis, Redmine, Celery, RabbitMQ, Twilio API and lots more. I can integrate any API with your existing systems. Looking forward to an interview invitation.

😱 𝗟𝗲𝘁’𝘀 𝗷𝘂𝗺𝗽 𝗼𝗻 𝗮 𝑭𝑹𝑬𝑬 𝑪𝑨𝑳𝑳 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀! 😱😱😱😱😱😱😱😱 so you can see my approach before deciding. I build production-ready AI and trading automation systems for clients who need more than a simple script. I am an AI/ML engineer with a Master’s degree in Artificial Intelligence and hands-on experience building trading automation, prediction-market tools, real-time data pipelines, dashboards, and AI-powered analysis systems. I help traders, founders, and technical teams turn trading ideas into working software: from data collection and backtesting to live monitoring, bot execution, alerts, dashboards, and AI-based decision support. My work combines AI/ML engineering, real-time market-data infrastructure, trading bots, dashboards, and deployment. I can help you move from an idea or manual workflow to a working system that collects data, analyzes signals, executes logic, sends alerts, stores results, and runs reliably on a VPS or cloud server. Recent project areas include Kalshi and Polymarket prediction-market systems, Webull bot interfaces, real-time WebSocket feeds, Telegram/Discord trading controls, ClickHouse/Grafana dashboards, Docker deployments, and AI-powered market-analysis pipelines. My recent work includes building and improving systems for Kalshi, Polymarket, Webull, and crypto/prediction-market workflows, including real-time WebSocket data processing, order book monitoring, Telegram/Discord bot interfaces, market-data dashboards, database pipelines, and Docker-based deployment on VPS/cloud infrastructure. What I can help you build Trading bots and automation tools Kalshi, Polymarket, Webull, crypto, and broker/API integrations Real-time market-data pipelines WebSocket order book, ticker, trade, and price-feed processing Backtesting and strategy research tools Telegram/Discord trading bots and alert systems AI-powered market analysis and signal-generation workflows Dashboards for monitoring trades, PnL, token usage, prices, and system health Dockerized deployment, logging, debugging, and VPS/cloud setup Data storage using PostgreSQL, ClickHouse, and related tools AI/ML experience I also have strong experience in deep learning and applied AI, including: PyTorch, TensorFlow, Keras, scikit-learn LLM and AI-analysis pipelines generative models: Audio/music/speech AI systems Computer vision and object detection Data analysis, feature engineering, and model evaluation Python automation and production ML workflows Trading-system experience I have worked on systems involving: Kalshi prediction-market bots Polymarket data monitoring and dashboards Webull bot interfaces Real-time price feeds I focus on practical, production-oriented development: clean Python code, clear communication, reliable deployment, and systems that can be monitored, debugged, and improved over time. I can work on trading infrastructure involving real-time market data, WebSocket feeds, order books, execution workflows, monitoring dashboards, and low-latency automation. For more advanced trading architecture such as HFT-style systems, OMS/EMS design, and institutional execution workflows. If you have a trading idea, AI workflow, automation task, or market-data problem, I can help you turn it into a working system. # Technical stack Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, PostgreSQL, ClickHouse, Grafana, Docker, Linux VPS, WebSockets, REST APIs, Telegram bots, Discord bots, OpenAI API, trading APIs, and AI/ML pipelines. I work best with clients who want clear communication, fast iteration, and practical engineering. I can help with research prototypes, MVPs, production grade bots, dashboards, infrastructure, or debugging existing systems. # Keywords : Algorithmic Trading, Algo Trading, Quant Trading, Quant Developer, Trading Bot, Trading Automation, Trading Strategy, Strategy Development, Backtesting, Live Trading, Paper Trading, HFT, Low Latency, Market Making, Order Book, Level2 Data, Level3 Data, Tick Data, Market Data, Execution Engine, OMS, EMS, DMA, Smart Order Routing, Risk Management, Position Sizing, Portfolio Management, Portfolio Optimization, Signal Generation, Alpha Research, Statistical Arbitrage, Pairs Trading, Mean Reversion, Momentum Trading, Trend Following, Scalping, Arbitrage, Options Trading, Futures Trading, Forex Trading, Crypto Trading, Equities Trading, Prediction Markets, Kalshi, Polymarket, Webull, Interactive Brokers, IBKR, Alpaca, Binance, Coinbase, MetaTrader, MT4, MT5, MQL4, MQL5, TradingView, Pine Script, NinjaTrader, QuantConnect, Lean, NautilusTrader, cTrader, FIX API, Broker API, Exchange API, REST API, WebSocket, Trade Execution, Order Routing, Order Management, Fill Handling, Slippage, Latency Optimization, Market Microstructure, Volatility, Greeks, Delta Hedging, Options Spreads, Credit Spreads, Debit Spreads, Short Premium, Risk Controls, Stop Loss, Take Profit, Trailing Stop, PnL Tracking, Trade Alerts, Telegram Bot, Discord Bot,

I'm a Junior Artificial Intelligence Engineer with a strong foundation in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision. I am committed to transforming data into intelligent solutions that address real-world challenges. In my early career, I've gained valuable experience working on a range of projects, from developing diagnostic tools for medical imaging to creating NLP models for language translation and sentiment analysis. My focus is on building and contributing to AI systems that solve complex problems and drive innovation. My technical expertise includes: Machine Learning: Skilled in building predictive models, optimizing algorithms, and deploying scalable solutions. Deep Learning: Proficient in designing and training neural networks for tasks like image recognition, object detection, and speech processing. Natural Language Processing (NLP): Experienced in developing models for text classification, translation, sentiment analysis, and more. Computer Vision: Expert in image processing, image recognition, image segmentation, and object detection with hands-on experience in using YOLO, TensorFlow, and OpenCV. Whether you're looking to develop a cutting-edge AI application, enhance your existing systems, or explore new AI-driven opportunities, I'm here to help. I'm dedicated to delivering high-quality, impactful solutions that align with your goals. Let’s connect and explore how I can contribute to your next project!

Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.

Hi, Greetings :) Artificial Intelligence, Machine Learning and Deep Learning is my profession. Web Development is my passion. I am a PhD in Electronics and Communication. I’ve helped various institutes and startup companies make Artificial Intelligent Systems using Machine and Deep Learning techniques. Machine learning (ML) has become indispensable across all industries. With staggering amounts of information generated globally every second, it's impossible to make sense of it without using such advanced Artificial Intelligence techniques. I love to develop beautiful and stunning websites. If you need my services I am here to work with You.

I build production-grade AI agents, RAG systems, and computer vision pipelines that ship on real infrastructure — not just demos. IEEE-published AI engineer (DAELocNet, AIIT 2025), Top Rated with 100% Job Success Score. If you need an LLM app that actually works in production — grounded answers, no hallucinations, controlled cost and latency — or a computer vision model running reliably at scale, I take it from idea to deployed system. What I build for clients: AI Agents & Multi-Agent Systems — autonomous, tool-using agents with LangChain, LangGraph, OpenAI & Groq RAG & LLM Apps — retrieval-augmented chatbots with FAISS vector databases, reranking, and hallucination-resistant answers Fine-Tuning & NLP Pipelines — domain-adapted LLMs, text classification, and AI-generated text detection Computer Vision — real-time object detection & tracking with YOLOv8, CLIP, and OpenCV Fintech & Predictive ML — XGBoost fraud detection, repayment prediction (AUC 0.9852), time-series forecasting Rapid AI MVPs — Streamlit dashboards and end-to-end prototypes that get to value fast Recent wins: Built a Binoculars-style LLM text detection system (Qwen2.5) for an AI content verification client Deployed a fintech repayment prediction model achieving AUC 0.9852 with XGBoost + SageMaker Autopilot Built a multi-agent finance automation system using LangChain + Streamlit Real-time object tracking system processing 30 FPS Reduced prediction errors by 40% for an e-commerce client Why clients trust me: BS in Artificial Intelligence (Air University, Islamabad) IEEE-published researcher — DAELocNet presented at AIIT 2025, Riyadh Top Rated on Upwork with 100% Job Success Score End-to-end ownership: data → model → deployment → clean handoff with documentation Core stack: Python · LangChain · LangGraph · OpenAI · Groq · RAG · FAISS · Vector Databases · Hugging Face · Fine-Tuning (LoRA/QLoRA) · YOLOv8 · CLIP · OpenCV · XGBoost · Time-Series Forecasting · Streamlit · FastAPI · PyTorch · Multi-Agent Systems · AI Integration Building an AI agent, RAG system, LLM app, or computer vision pipeline? Send me your brief — I'll outline the best technical approach and a clear path to production.