AI/ML engineer who cut a 6-hour manual review process to under 10 minutes using document AI and computer vision. 100% job success across 26 projects, $100K+ earned. I build AI systems that do real work. Results from deployed systems: Manufacturing Doc-AI — Computer vision (YOLOv8) + NLP on architectural blueprints for the largest US casework manufacturer. Estimation from 2-6 hours to under 10 min. 91% recall, 84% precision on production drawings. Detects cabinetry, reads MasterFormat specs, outputs structured estimates. AI Document Agent — Natural language search over 500MB+ PDF spec files. Answers with page + paragraph citations in under 30 seconds. Previously 30+ minutes per manual search. Multi-Agent Investment Research — LLM-based multi-agent system processing live financial data. Autonomous agent coordination with retrieval, analysis, and reporting pipelines. Backend & Long-Term Engagements — 4+ years with Xperi (DTS/TiVo), code running in BMW and Tesla. 5+ years with Internet Archive maintaining a 40,000-line Python platform powering worldwide book scanning. What I ship: LLM agents with tool calling, RAG over proprietary data, document AI (OCR + layout extraction), computer vision, and production Python backends. Weekly milestones with acceptance criteria. Handover includes runbooks, dashboards, and training.

I am a full-stack Python, C++ AI/ML/ Computer vision / 3d reconstruction developer ✅ Top Rated PLUS Upwork Freelancer ✅ 15000+ hours worked ✅ 120+ Jobs Completed ✅ $300k+ earned Computer Vision and Machine learning - Computer Vision | Machine learning OpenCV,PCL,ROS,Detectron,YOLO, VTK, Intel Realsense, Zed camera, Zivid camera, NLP, Transformers - Computer Vision, Image Processing, OpenCV, OpenGL, MKL, ITK, VTK - Deep Learning, caffe, Tensor flow, Pytorch - YOLO, DETECTRON -Desktop application development using C++/Qt, Python -3d reconstruction, NLP using Matlab,R, Python, OpenCV, OpenGL,CUDA,OpenCL, MKL, ITK, VTK,PCL,ROS,R, Transformers. -Machine and Deep Learning using SVM, KNN, Neural Networks(TensorFlow, Yolo, Detection, Pytorch). -GUI development, sockets. -Stereo Vision and 3d reconstruction. SLAM and SFM algorithms implementation and improvement. -Video/Audio streaming over network using LIBVLC, FFMPEG, GSTREAMER. -Natural language processing using BERT, BART. -Development of technically complex projects and scientific articles. -Generic programming, OOP. -Complex algorithms & data structures.

Expert-Vetted (Top 1%) | 100% Client Satisfaction | 100% Job Success I build software that requires rigorous mathematical depth, AI, ML and/or data analytics expertise, and production-ready deployment capability - the combination most teams need three or more separate specialists for. Every system I build goes to production. Deployed solutions running real operations across healthcare, legal, finance, maritime, industrial, and scientific applications. --- ## What Sets Me Apart - Rare Combination: PhD in AI & Systems Engineering + Chartered Mathematician (UK) + 15+ years shipping production systems. I build the ML, and deploy to production - as one person. - Domain Versatility: I've delivered production systems across radically different industries because my depth is in methodology, not a single vertical. Clients hire me when the problem is hard and needs to actually work. - Agentic AI Architect: I design and deploy multi-agent workflow systems that autonomously reason, plan, and execute complex tasks across enterprise domains. - Proven Track Record: 100% client satisfaction on Upwork. Every client has extended, returned, or referred. --- ## Why Clients Choose Me - "We need three people for this" → I'm one person who architects, builds, and deploys. - "Our data scientists can't ship" → Every system I build runs in production. - "This problem is too complex" → I've crossed healthcare, legal, maritime, and industrial domains. Novel problems are my specialty. --- ## Production Deployments (Selected) ### Healthcare & Medical AI - Surgical segmentation system for a US hospital :- ultrasound vein/artery detection deployed on Nvidia Jetson edge device, used in live surgery - FDA 510(k) submissions for AI-enhanced medical imaging :- multiple successful clearances at GE Healthcare - Clinical AI at NHS Barts Health Trust (Europe's largest cardiovascular centre) :- 50,000+ patient records, 88% diagnostic accuracy - Biomarker risk scoring platform :- 28 health dimensions from 118 blood biomarkers, end-to-end from ingestion to reporting ### Legal AI - Case analysis system providing lawyer-grade advice - RAG architecture with case law retrieval, deployed and serving clients in Canada - Document intelligence for contract analysis - 70% efficiency gains for law firm operations ### Maritime & Industrial - Ship fuel optimisation :- ML model identifying optimal ports based on fuel energy content, not just price - 6-hour-ahead location prediction :- real-time forecasting using weather and oceanographic parameters for Gulf of Mexico operations - Industrial process AI :- distillation plant optimisation, hot rolling mill control systems --- ## Technical Depth - AI/ML: PyTorch, TensorFlow, custom neural architectures, transformers, computer vision, NLP, time-series forecasting, optimisation algorithms - Production Systems: AWS/GCP cloud deployment, edge devices (Nvidia Jetson), real-time pipelines, microservices, Docker, Kubernetes - Healthcare Specific: DICOM, HL7 FHIR, EHR integration, biosignal processing, FDA regulatory submissions, HIPAA/PIPEDA/GDPR compliance - Agentic AI: Multi-agent systems, RAG architectures, LLM integration (Claude, GPT-4), Model Context Protocol - Mathematical Foundations: Signal processing, Bayesian statistics, causal inference, control theory - deriving solutions from first principles --- ## Credentials - PhD in AI & Systems Engineering - Chartered Mathematician (UK) - professional certification requiring rigorous examination - 20+ peer-reviewed publications in clinical AI and medical imaging - Multiple FDA 510(k) clearances - Systems deployed to 200+ hospitals --- ## Industries & Applications - Primary: Healthcare & Medical Devices (diagnostic AI, clinical decision support, medical imaging, FDA submissions) · Legal Tech (document intelligence, case analysis, contract AI) · Maritime & Logistics (route optimisation, fuel analytics, predictive systems) · Scientific Computing (biosignal processing, risk modelling, complex simulations) - Secondary: Financial Services (document extraction, risk modelling) · Industrial (process optimisation, predictive maintenance, safety systems) · Aerospace (systems engineering, reliability analysis) --- ## Engagement Model - Rate: $200–300/hour depending on complexity and engagement length - Availability: Selective - I take projects where my expertise genuinely matters - Working Style: Direct communication, clear milestones, results-focused collaboration. --- ## The Bottom Line If it requires AI, ML, data science expertise, and production deployment across a specialised domain - and it actually needs to work - that's exactly what I do. Let's discuss your challenge.

Hi there! 👋 I’m thrilled you’re here! I’m an AI Engineer with over 5 years of experience dedicated to helping businesses harness the incredible power of Generative AI, Machine Learning, and Large Language Models (LLMs). Whether you’re a startup eager to innovate or an established company aiming to optimize operations, I’m here to turn your vision into reality. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿 🤖 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐑𝐞𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐢𝐬𝐭𝐬 Designing and deploying production-grade AI voice agents using Vapi, Retell AI, and LiveKit that can answer calls, qualify leads, schedule appointments, transfer calls to human agents, update CRMs, and provide 24/7 customer support with natural, human-like conversations. ☎️ 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 Building intelligent inbound and outbound calling solutions for industries such as healthcare, HVAC, real estate, legal services, e-commerce, and customer support. Experienced in integrating Speech-to-Text (STT), Text-to-Speech (TTS), LLMs, and telephony platforms for low-latency voice experiences. 🔗 𝐂𝐑𝐌 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Integrating AI systems with leading CRM platforms including HubSpot, GoHighLevel (GHL), Salesforce, and custom CRM solutions. Automating lead capture, pipeline management, appointment booking, customer follow-ups, email campaigns, and workflow orchestration using n8n, Make, and Zapier. 🤖 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: leveraging TensorFlow, PyTorch, and Scikit-learn to build predictive models and advanced neural networks that solve real-world challenges. 💬 𝗡𝗟𝗣 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀): creating intelligent chatbots and custom text generation tools using OpenAI GPT, LLaMA, and Claude for sophisticated NLP applications. 🧠 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀: developing interactive chatbots that provide personalized and seamless user experiences through AI-driven interactions. 👁️ 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: implementing object detection and image classification systems with deep learning to deliver robust visual recognition solutions. 🌐 𝗖𝘂𝘀𝘁𝗼𝗺 𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: building tailored web applications with seamless REST and GraphQL API integrations to enhance your existing systems. ⚙️ 𝗡𝗼-𝗖𝗼𝗱𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: delivering quick and cost-effective solutions using Bubble io, Webflow, and Zapier for functional, automated web apps. 🐍 𝗣𝘆𝘁𝗵𝗼𝗻 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗦𝗰𝗿𝗶𝗽𝘁𝗶𝗻𝗴: enhancing productivity with Python automation, including AI-driven web scraping and workflow automation. ☁️ 𝗖𝗹𝗼𝘂𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗗𝗲𝘃𝗢𝗽𝘀: ensuring scalable and secure AI solutions using AWS, Google Cloud, Azure, Docker, Kubernetes, and CI/CD tools. ———————————————— 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 🛠️ Languages: Python, JavaScript, TypeScript, SQL, R, Java, HTML/CSS 🤖 AI & LLM Platforms: OpenAI GPT-4o, Claude, Gemini, LLaMA, Mistral, Grok, Hugging Face Transformers 🧠 AI Frameworks & Agent Development: LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel 🎙️Voice AI & Conversational AI: Vapi, Retell AI, LiveKit, Deepgram, ElevenLabs, Cartesia, AssemblyAI, Twilio Voice, SIP Telephony 🔬 Machine Learning & Deep Learning:TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM 🎯 LLM Fine-Tuning & Model Optimization: Hugging Face, LoRA, PEFT, OpenAI Fine-Tuning, Custom Model Training, Prompt Engineering 📚 RAG & Vector Databases: Pinecone, ChromaDB, Weaviate, Qdrant, FAISS, pgvector 📊 Data Processing & Analytics:Pandas, NumPy, ———————————————— 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 🔍 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝘃𝗲 & 𝗧𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 I prioritize understanding your unique business needs before diving into technical solutions. By focusing on research and strategy first, I tailor each solution to deliver real value and efficiency for your project. ———————————————— 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? ✅ 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 I manage everything from data preprocessing to full-scale AI deployment, ensuring smooth and successful project delivery. ⚡ 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 My solutions are designed to grow with your business, utilizing the latest AI technologies and industry best practices. 🌍 𝗩𝗲𝗿𝘀𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗔𝗰𝗿𝗼𝘀𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 Whether it’s healthcare, finance, e-commerce, or beyond, I’ve successfully implemented AI systems across various sectors. 🎯 𝗬𝗼𝘂𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗶𝘀 𝗠𝘆 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝘆 Your satisfaction is my mission. I’m committed to delivering high-quality, on-time results that align perfectly with your business objectives. ———————————————— Ready to bring your AI project to life? Let’s collaborate to develop AI-driven systems that drive real innovation and make a tangible impact on your business. I’d love to hear about your project ideas and explore how I can help. Let's connect and get started! 🚀

𝗧𝗵𝗲 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗔𝗴𝗲𝗻𝘁 𝗪𝗵𝗼 𝗧𝘆𝗽𝗲𝗱 𝘁𝗵𝗲 𝗦𝗮𝗺𝗲 𝗔𝗻𝘀𝘄𝗲𝗿 𝗧𝘄𝗶𝗰𝗲 A support agent at a mid-size company once told me she'd typed the same answer to the same question so many times she could do it in her sleep. Every day, another version of that question. Until one day, someone finally asked why a person was doing it at all. That's usually where I come in. Not with a pitch about AI. With a question about the thing nobody's counted yet. 𝙒𝙝𝙖𝙩 𝙔𝙤𝙪 𝘼𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝙉𝙚𝙚𝙙 (𝙄𝙩'𝙨 𝙋𝙧𝙤𝙗𝙖𝙗𝙡𝙮 𝙉𝙤𝙩 "𝘼𝙄") Most businesses that hire an AI developer don't need AI. They need one specific, annoying bottleneck to stop being their problem. AI is just the tool. The bottleneck is the target. So before anything technical happens, I spend time finding that target. Not guessing at it. Finding it. 𝙏𝙝𝙚 𝘾𝙖𝙩𝙝𝙚𝙙𝙧𝙖𝙡 𝙋𝙧𝙤𝙗𝙡𝙚𝙢 I think about a fine-tuned model a little like a cathedral. Medieval builders didn't just stack stone into a big room. They shaped the walls and ceiling so a single voice at the altar would carry clearly to the last pew, without turning into noise along the way. Most AI systems fail for the same reason bad architecture fails. They add noise instead of shaping signal. My job is building the room so the model's answer comes out clear, on tone, and grounded in what's actually true about your business. 𝙃𝙤𝙬 𝙄 𝘼𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝘽𝙪𝙞𝙡𝙙 𝙏𝙝𝙞𝙨 I build production LLM systems end to end: model selection, fine-tuning, evaluation, deployment, and continuous optimization after launch. A system that holds up under real traffic. 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬 I work directly with transformer-based foundation models using PyTorch, Hugging Face Transformers, and CUDA-accelerated training, choosing architecture based on your latency budget and data volume rather than defaulting to whichever model is trending. 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠: LoRA and QLoRA for efficient adapter training, full fine-tuning when the use case genuinely justifies the cost, and domain adaptation so the model speaks your business, not generic internet text 𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭 RLHF and preference-tuning methods so the model's judgment, not just its facts, matches how your team actually makes decisions 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: compressing models for cheaper, faster inference without losing the accuracy that makes them worth deploying Inference: serving infrastructure built for real throughput, not a single-request demo 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Retrieval augmented generation (RAG) grounds answers in your actual documents instead of the model's memory, using vector databases like Pinecone, Weaviate, or pgvector. The part almost nobody talks about publicly: a bad embedding model will confidently retrieve the wrong document, and the language model will trust it completely, the same way people trust anything that simply sounds authoritative. I spend real time on embedding selection and chunking strategy before a single generation prompt gets written, because that's where most RAG systems actually succeed or fail. 𝐕𝐢𝐬𝐢𝐨𝐧 Computer vision systems for detection, classification, and embedding-based visual search at scale, and diffusion model work for generative image pipelines when the use case calls for it. 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Multi-agent orchestration using frameworks like LangGraph, where a planner, a retriever, and a checker each handle their own piece of a workflow instead of one model trying to be everything at once. A single model attempting to plan, search, reason, and respond in one pass is a bit like one musician trying to play an entire orchestra alone. Technically there's sound. It isn't music. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐌𝐋𝐎𝐩𝐬 A model sitting in a notebook is a research project. A model wrapped in a monitored, logged, rollback-ready API, with proper MLOps around training runs and versioning, is a product people can actually rely on. Cost-per-request monitoring, since an ungoverned AI bill is one of the fastest ways a promising pilot gets killed by finance Model evaluation pipelines tracking hallucination rate, latency, and cost as three separate numbers, catching regressions before your users do Guardrails and human checkpoints wherever a wrong answer is expensive: financial figures, customer-facing decisions, anything hard to undo Multimodal AI integration when a project needs text, vision, and structured data working together, not in isolation A model that sounds confident and is wrong causes more damage than a model that simply admits it doesn't know. I'd rather ship the one that knows its own limits. 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐏𝐞𝐨𝐩𝐥𝐞 I ask more questions upfront than most freelancers bother to. Not to stall, but because a model trained on a misunderstood problem is expensive to unwind later. Retraining isn't like fixing a typo.

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!

🏆 A dedicated professional with comprehensive expertise in Machine Learning, Computer Vision, Deep Learning, and Generative AI. I bring extensive experience in deploying advanced AI models and optimizing solutions for both desktop and embedded environments. My background includes certifications in Data Science, Deep Learning, and Machine Learning in Production, complemented by hands-on project experience. 🏆 🏆🏆 𝙀𝙓𝙋𝙀𝙍𝙏 𝙄𝙉 🏆🏆 🚀 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 🚀 ✅ Computer Vision Tasks: Skilled in Image Classification, Image Segmentation, and Object Detection. ✅ Deep Learning Frameworks: Proficient with TensorFlow, Keras, and PyTorch for developing sophisticated neural network models. ✅ Advanced Architectures: Experience in implementing Vision Transformers, Swin Transformers, and DETR. ✅ Image Processing: Expertise in numpy, OpenCV, matplotlib, and Pillow for preprocessing and manipulation. ✅ Annotation Tools: Familiar with LabelKit, Labelbox, labelme, and Colabeler for data labeling and annotation. ✅ Embedded Computer Vision: Proficient in deploying models on resource-constrained environments using TensorFlow Lite and other techniques. ✅ Explainable AI: Utilizes LIME and Grad-CAM for model interpretability. 🚀 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🚀 ⭐ Supervised Learning: Implementing models such as Logistic Regression, SVMs, Decision Trees, and Neural Networks. ⭐ Unsupervised Learning: Expertise in clustering methods like K-means, DBSCAN, Birch, and Hierarchical clustering. ⭐ Semi-Supervised Learning: Leveraging both labeled and unlabeled data for improved model accuracy. ⭐ Classification and Regression: Building and tuning models for various prediction tasks including Linear, Polynomial, Ridge, and Lasso Regression. ⭐ Ensemble Methods: Enhancing model performance with Random Forests, Bagging, and Boosting techniques. ⭐ Feature Engineering: Advanced techniques for feature selection and dimensionality reduction. 🚀 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 🚀 📈 Statistical Analysis: Applying advanced statistical methods for deriving insights from complex datasets. 📈 Data Interpretation: Translating analytical findings into actionable business strategies. 📈 Trend Analysis: Identifying patterns and forecasting future trends. 📈 Predictive Modeling: Utilizing predictive models for risk assessment and decision-making. 📈 Multivariate Analysis: Handling and analyzing multi-dimensional data. 🚀 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 🚀 📜 Generative Adversarial Networks (GANs): Experience with StyleGAN, StyleGAN2, StackGAN, CycleGAN, SRGAN, and DCGAN. 📜 Generative AI Tools: Proficient with Ollama, LangChain, Llama3.1, RAG, Gemini, and GPT. 🚀 𝐄𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 🚀 📦 Embedded Devices Experience: Expertise with Arduino, STM32, ESP32, FPGA, Raspberry Pi, and Nvidia Jetson. 📦 Deployment Projects: Successfully deployed various AI models on edge devices, including Jetson Orin Nano and Jetson Tx2, for tasks like ANPR, emotion detection, gesture recognition, and more. 🏆🏆𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗞𝗜𝗟𝗟𝗦🏆🏆 🔍 Core Tools: Pandas, Numpy, Scikit-Learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost 🔍 Visualization: Matplotlib, Seaborn, Plotly, ggplot2 🔍 Data Processing: Dask, Apache Spark 🔍 Deep Learning: TensorFlow, Keras, PyTorch, Caffe, Theano 🔍 Natural Language Processing: NLTK, SpaCy, Gensim, BERT 🔍 Generative AI: GANs (StyleGAN, StyleGAN2, StackGAN, CycleGAN, SRGAN, DCGAN), Ollama, LangChain, Llama3.1, RAG, Gemini, GPT 🔍 Transformers: Vision Transformers, Swin Transformers, DETR 🔍 Statistical Modeling: Statsmodels, SciPy 🔍 Computer Vision: OpenCV, PIL (Python Imaging Library), skimage 🔍 Development Tools: Jupyter, Docker, Git, SVN 🔍 Embedded Devices: Arduino, STM32, ESP32, FPGA, Raspberry Pi, Nvidia Jetson 📞 𝗟𝗲𝘁 𝘂𝘀 𝗖𝗼𝗻𝗻𝗲𝗰𝘁: 💼 I am passionate about bringing innovative AI solutions to life and optimizing them for various platforms. Contact me to explore how we can collaborate on your next project and achieve outstanding results together!

🏆 EXPERT-VETTED TOP 1% ON UPWORK |⭐ 5-Star Ratings | Data Analytics and Predictive Modeling|💎MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics |✅ R, PYTHON, SAS, Tableau, Power BI | ✅Data Science, Machine Learning Models | ✅STATA Master, Large Survey Data and Regression Analysis, Economic Policy Evaluation, Predictive Financial Modeling | 🏆PhD and 20 years of experience. ABOUT ME: 🏆 EXPERT-VETTED and TOP RATED PLUS status (TOP 1% on UPWORK) 🥇20 years of working experience with large corporations and institutions (Amazon, the World Bank, International Financial Corporation, University of Pennsylvania) 🎓PhD/Professor in Econometrics/Statistics/Data Science 💎Provide effective help for MASTER/PHD THESIS With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top Rated Plus), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. I have over 20 years of experience in empirical research, statistical analysis, econometric modeling, data science, machine learning models, data analysis (panel data analysis and time series analysis, complex survey design and analysis), data visualization, storytelling, and project management. I enjoy creating dashboards of data analytics to provide data insights, data trend, meaningful graphs, statistical analysis, story-telling summary that serves as key benchmark to influence business decision. Moreover, I also provide robust statistical evidence, regression/correlation analysis, machine learning predictive models to provide supportive and significant results for business projects. I also help clients understand different statistical techniques, regression techniques, learn excellent statistical language including STATA, SAS, R, and Python to make your life easier. My previous projects on machine learning and econometric modeling include the followings but not limited to: - Data Analysis, Large Survey Data Analytics and Data Visualization. - Linear regression with panel data and time series data. - Forecasting model for time series analysis - Financial modeling such as stock returns, cryptocurrency price prediction, financial indices and financial performance prediction. - Machine Learning models: Random forest, decision trees, KNN, neural network,... - Logistic models, multinomial logit models, ordered logit models. - Economics research, market research, house price, mortgage default prediction, - Program evaluation using different methods such as difference in difference, propensity score matching, instrument variables, fixed effects, regression discontinuity design. I am happy to share my knowledge on machine learning modeling as well as quantitative and analytical skills to help you succeed in your project. In addition, with my experience in participating and presenting in thousands of academic and industry conferences, supervising and guiding hundreds of college and graduate students in their thesis/dissertation, I am very confident that I can help you make a difference in your project and bring out the highest quality and great results for your Master or PhD's thesis/dissertation project. I can also provide statistical advice and statistical analysis including: - Descriptive Statistics. - Bi-variate analyses such as t-tests, correlations, chi-square tests and non-parametric tests for normal and non-normal data. - Multivariate analyses such as ANOVA, MANOVA, LDA, PCA and factoring analysis, regression analysis (see econometric models above). - Review and interpret statistical output, set up the appropriate hypothesis testing and write up conclusion and policy recommendation. - Tutoring Statistics, Math and Econometric courses: including both introduction and advanced courses. I have experience with different types of data including: - Survey data (household, market research, firm/business/country data, house price, loan performance, accounting, finance, health, labor and income, etc.) - Panel data - Time series data I help clients put together and analyze different types of survey data, panel and time series data, getting the data insights, build data trend and data stories with meaningful graphs and great visualization. With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top rated), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. Looking forward to working with you soon, Dr. Victoria

My Proficient Skills are the following 🚀: • AI Automation 🤖 • AI Agents 🧠 • Agentic AI 🕸️ • Data Analysis 📈 • Machine Learning 🤖 • Python Programming 🐍 • Exploratory Data Analysis (EDA) 🔍 • Data Visualization 📊 • Power Bi Dashboards 📊 • Data Cleaning 🧹 • R Programming 💻 • Statistics 📊 • Data Science 📊 • Data Report Creation 📄 • Data Manipulation 🔄 • SQL 🗃️

I am a dedicated ML / AI Engineer with over 2 years of experience in Python, Flask, FastAPI, Django, and Generative AI, continuously learning and honing my skills to stay at the cutting edge of technology. As a freelancer, I am committed to delivering high-quality solutions for my clients, bringing a strong foundation in Python development and diverse technical skills to each project. Expertise: • Python Development: Extensive experience in building and deploying applications using Python. • Web Frameworks: Proficient in Flask and FastAPI for developing scalable and efficient web applications. • Deep Learning & Machine Learning Frameworks: Skilled in PyTorch, TensorFlow, and Scikit-Learn for creating and optimizing machine learning models. • Data Science & Visualization: Expertise in Pandas, NumPy, Matplotlib, and OpenCV for data manipulation, analysis, and visualization. • Deployment & DevOps: Hands-on experience with Docker and Anaconda for creating reproducible environments and deploying applications. • Vector Databases: Knowledgeable in Pinecone and ChromaDB for managing and querying high-dimensional data. • Feature Store Management Services: Efficient management of reusable feature sets for robust machine learning pipelines. AI / ML Specializations: • Machine Learning Algorithms: Proficient in SVM, KNN, Regression, Decision Trees, Random Forest, Ensemble methods, and Time Series Analysis. • Deep Learning Architectures: Experience with ANN, CNN, YOLO, LSTMs, RNNs, Transformers and Transfer Learning for various AI applications. • LLM API Integration: Skilled in integrating OpenAI, Gemini, and Claude models using their APIs for production applications, covering prompt engineering, response optimization, rate-limit handling, and performance monitoring. • Generative Models: Proficient in working with diffusion models, GANs, and transformer-based generative architectures for image synthesis, inpainting, and style transfer, with experience in LoRA fine-tuning for model adaptation. • NLP & LLMs: Understanding of NLP tools such as Spacy, NLTK, NER, word2Vec, and TF-IDF; experience with LLMs like Gemini, GPT, Open Source LLMs for advanced language processing tasks. • Text-to-Speech & Speech-to-Text Models: Proficient in developing and fine-tuning speech processing applications, with hands-on experience utilizing Synthflow AI's customizable voice agents and ElevenLabs' advanced multilingual text-to-speech and speech-to-text technologies. • Retrieval-Augmented Generation (RAG): Proficient in integrating retrieval systems with generative models for enhanced AI-driven solutions, including hands-on experience with Multimodal RAG techniques that combine text, images, and audio inputs to improve contextual understanding and response accuracy. Feel free to contact me anytime to discuss how I can contribute to your project. Let's create something great together!