Top Rated Plus AI Engineer Experienced in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Computer Vision, NLP, LLM, and Prompt Engineering I'm Vipul, an AI Engineer with 4+ years of experience building impactful AI solutions for SMEs and Fortune 500 companies. I excel in Generative AI, Machine Learning, Natural Language Processing (NLP), Large Language Model (LLM), and Computer Vision tasks, delivering cutting-edge solutions across various industries. My Experience & Skills: ✅ Helping clients create end-to-end AI solutions for their products to enhance their workflow and implement Automation. ✅ Building LLM-based chatbots that streamline interaction and enhance user experience. ✅ Building a full-stack application that delivers value. ✅ Designing and Implementing efficient, scalable, and cost-effective Cloud Architectures ✅ Setting up AWS environments, applications, and services in a scalable and observable manner. ✅ Building data pipelines for business insights and automation. ✅ Building recommendation systems that amplify user experience. Programming Skills: - Python (Numpy, Pandas, scikit-learn, TensorFlow, Keras, PyTorch) - MATLAB (Signal Processing Toolbox, Machine Learning Toolbox) Machine Learning Models: - Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, Support Vector Machines - Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis, Autoencoders - Deep Learning: Convolutional Neural Networks, Recurrent Neural Networks (LSTMs, GRUs), Generative Adversarial Networks - Large Language Models (LLMs): Fine-tuning and personalizing LLMs like GPT-3, BERT, and others on business-specific data for tasks like text generation, summarization, and question-answering. Tools and Platforms: - Data Visualization: Matplotlib, Seaborn, Plotly, Bokeh, Tableau - Big Data: Apache Spark, Hadoop, SQL (PostgreSQL, MySQL) - Cloud Platforms: Amazon Web Services (EC2, S3, SageMaker), Google Cloud Platform, Microsoft Azure - Version Control: Git, GitHub

Hi, I am a full stack Artificial Intelligence (AI) engineer with 6+ years of experience of developing AI solutions for clients worldwide across various industry and research domains since pre LLM era(like startups and Fortune 50 companies ..). My expertise spans the development of robust cloud native end to end machine learning AI/ML solutions, including AI Agents and Automations, AI Chatbots, Conversational AI Agents and AI-driven Content Generation,NLP, Timseries forecasting/analysis, XAI . Availability: Open to full-time & long-term projects Expertise: ✅ AI Agents ✅Timeseries prediction, predictive modeling ✅ AI Chatbots ✅ AI Search ✅ AI Generated Content (Video/Image/ Audio) ✅ AI SaaS ✅Generative AI Modelling(GenAI, prompt engineered LLM RAG apps, AI agents, chatbots), ✅Natural Language Processing (NLP), ✅Speech Processing (ASR, TTS, STT) ✅Computer Vision, ✅OCR, ✅Classification, ✅Regression and XAI more..... Client testimonials: ⭐ "100000% recommended." ⭐ "Good freelancer that has serious background of ML and NLP. Recommended" ⭐ "Pooja is perfect! She communicates very well, responds to my questions in a timely manner, submit results within the deadline, and most importantly, she knows her ways on NLP. She's nice and kind and very easy to work with. You will not regret hiring her." ⭐"Working with Pooja was great! We hired her to test a data science tool that we're building and not only did she test the tool according to the instructions that we provided, but she also thought of other scenarios to test the tool in. I'd love to work with her again. 📚Proficient in a multitude of Python libraries such as Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, Keras, SpaCy, NLTK, Gensim, OpenAI(models like GPT( ChatGPT), DALL-E, Whisper), Hugging Face, Langchain, LLMs(GPT3.5/4, Claude, Perplexity, LLaMa, and more...) I possess a comprehensive skill set tailored to tackle complex AI challenges like prompt engineering, fine tuning, model quantization/distillation/pruning. Can deploy to cloud of your choice, AWS, GCP, Azure, Hetzner, Runpod to production /test I am experienced with customizing ML/DL models to obtain higher accuracy compared to existing models. "I've tuned several models and optimized their accuracy from 75% to about 98%." My project repertoire includes a wide array of AI Machine Learning and Deep Learning endeavors like AI agents workflows, AI RAG apps, predictive modelling end to end workflow and more... Some of the production AI systems I’ve delivered that drove real business impact: ✅ Saved $500K+ in potential expenses for a client by designing and deploying a custom AI solution tailored to their operations. ✅ Unblocked a Fortune 50 team stuck for 6+ months on a HIPAA-compliant AI project for their legacy system, delivering multiple solutions that prevented millions in potential losses. ✅ Developed Explainable AI (XAI) models, helping stakeholders gain actionable insights and build trust in AI decisions. ✅ Delivered RAG-based AI systems and AI Agents, including multi-agent orchestration capable of interactive, autonomous workflows. ✅Developed and productionized full stack AI systems with XAI for an EU Commission Consortium project. ✅ Developed HIPAA and GDPR compliant AI systems Why me? ✅ I strive to deliver top-tier AI solutions to ensure 100% client satisfaction. ✅ As an quick learner and proactive problem solver with an engineering background, I continually seek to expand my knowledge horizons and innovate in the dynamic field of AI and help my clients with the same. ✅ I believe in trustful collaboration and prompt delivery for my clients I am committed to solving your problem by providing an effective solution. I strongly value work ethics, dependability, honesty, and loyalty. My focus is always on delivering desirable results. I am flexible in my approach, and I quickly learn new skills necessary to complete the project successfully. Tools skilled in: - OpenAI GPT 3,3.5, 4, 4o, o1, OpenAI Realtime API, Claude and more... - HuggingFcae Transformers - Langchain - Mlflow - DialogFlow - Rasa - ManyChat - Prompt Engineering - Retrieval-Augmented Generation (RAG) - Langchain, Langsmith, Langgraph # CrewAI # Speech Recognition (ASR) # Natural Language Understanding (NLU) # Text-to-Speech (TTS) # Voicebot Development # AI Model Fine-Tuning # Multimodal AI # AI Workflow Automation # Microsoft semantic Kernel # AutoGPT # Smolagents # Pinecone # Milvus # Qdrant # Chroma # Weaviate #Chatbots #GPT4 #Anthropic #Claude #LLMs #Rasa #ManyChat # LangChain #OpenAI # RAG #VoiceBots #GenerativeAI #Vapi #Prompt Engineering #Flowise #Langsmith #CrewAI #PineCone # Deepseek #ElevenLabs #Sora #Veo #Kling #Higgsfield #Gemini #nano banana #Grok #Docker #CI/CD #Nodejs #Nestjs #fastapi #django #Quarkus #backend #Websockets #Rest API #AWS #GCP

I'm a Full-Stack AI/ML Engineer specializing in building and deploying complete AI SaaS products from backend AI logic to frontend user experience. I work extensively with Claude, OpenAI, Gemini, and Deepseek to build intelligent systems like AI chatbots, RAG-based knowledge platforms, and multi-agent automation frameworks that turn raw data into real business value. I don't just build AI models I build full, production-ready AI SaaS applications: scalable backend architecture, clean APIs, database design, and deployment pipelines, combined with robust AI/ML integration. What I Build: ✅ AI SaaS Products – full-stack, end-to-end AI-powered platforms ✅ Claude & LLM Integration – OpenAI, Claude, Gemini, Deepseek ✅ RAG Systems & Knowledge Bases – for accurate, context-aware AI responses ✅ AI Chatbots & Conversational AI – for websites, apps, and customer support ✅ AI Agents & Multi-Agent Systems – for automated decision-making ✅ NLP & Text Analytics – summarization, sentiment analysis, entity recognition ✅ Workflow Automation – n8n, Make, Zapier, GoHighLevel ✅ Python Development – Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain Full-Stack Skills: Backend: Python (FastAPI/Django/Flask), API design, database integration Frontend: Modern, responsive interfaces connected to AI backends Deployment: Cloud hosting, scalable pipelines, production-ready systems Why Clients Choose Me: ✅ Complete AI SaaS delivery not just isolated scripts or models ✅ Cross-domain expertise: AI + Full-Stack Dev + Automation ✅ Fast delivery with clean, maintainable, scalable code ✅ Clear, proactive communication throughout the project 💬 Let's build a complete AI-powered product together from idea to a fully deployed, scalable solution.

I’m a Data Scientist focused on building intelligent, real-world 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that go beyond analysis and actually drive decisions and automation. With a strong foundation in Machine Learning, Deep Learning, and Big Data Analytics, I specialize in developing agentic AI solutions systems that can handle complex tasks, automate workflows, and operate with minimal human intervention. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨: I design and build end-to-end AI solutions, especially for data-heavy industries like 𝐫𝐞𝐚𝐥 𝐞𝐬𝐭𝐚𝐭𝐞, where automation, data extraction, and intelligent decision-making create real business value. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Autonomous AI agents for workflow automation Multi-step task execution systems AI-driven decision support systems 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Data Scraping & Web Automation Text Mining & Data Labelling Data Cleaning & Preprocessing ETL Pipelines (Extraction, Transformation, Loading) Data Analysis & Visualization 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Predictive Modeling & Classification Systems Deep Learning Architectures (CNNs, RNNs, Transformers) Model Optimization & Deployment 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Object Detection & Image Classification Face Recognition & Emotion Detection Image Enhancement (Super-Resolution, Stitching) Video Analysis & Activity Recognition GANs, Vision Transformers 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 : Sentiment Analysis & Text Classification Topic Modeling & Text Clustering Language Translation Systems Transformer-based Models 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Distributed Data Processing (PySpark) Databricks & Azure Synapse Analytics Scalable Data Pipelines 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, PHP 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Pandas, NumPy, Matplotlib, Seaborn Scikit-learn, TensorFlow, Keras, PyTorch Hugging Face, SpaCy, NLTK, Gensim 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Git, GitHub, Jira 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: I focus on building solutions that are not just technically sound, but practical, scalable, and aligned with real business needs. Whether it's automating workflows, extracting insights from complex data, or deploying AI systems, my goal is to deliver solutions that create measurable impact. 𝐈’𝐦 𝐚𝐥𝐰𝐚𝐲𝐬 𝐨𝐩𝐞𝐧 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐧𝐠 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐢𝐝𝐞𝐚𝐬 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐢𝐦𝐩𝐚𝐜𝐭𝐟𝐮𝐥 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬.

My research has been accepted at CVPR'25 and ICCV'25 — the two most competitive computer vision conferences in the world. I now bring that same precision to client projects. I'm a Computer Vision PhD (Griffith University, Postdoc at University of Melbourne) with 7+ years turning hard visual problems into production systems. My work spans: Object Detection & Tracking — custom YOLO, DETR, and ByteTrack pipelines for real-time performance on edge and cloud Medical Image Analysis — MRI/CT segmentation, diagnostic AI, clinical-grade accuracy using PyTorch and MONAI Generative AI & ComfyUI — Stable Diffusion fine-tuning, ControlNet pipelines, custom ComfyUI node development 3D Vision — LiDAR point cloud processing, depth estimation, multi-view stereo, NeRF reconstruction Semantic Segmentation — autonomous vehicle, remote sensing, and industrial inspection systems Past clients describe me as: "a true expert with strong knowledge", "delivers excellent work, clear and professional", "highly recommended AI consultant". I work with scale-ups and product teams who need senior-level Computer Vision expertise — not just a model, but a system that performs. Available now. Let's discuss your project.

If you shoot me an invitation or message I'll do a complete AUDIT on how we can implement best practices to make things Perfect !! Being top 1% Freelancer, If you trust me to built something, I'll build it so it works for you 24/7. That's my promise. - Former 𝗠𝗟 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 at 𝗖𝗮𝗽𝗶𝘁𝗮𝗹 𝗼𝗻𝗲 | Agentic AI Lead | LLM Architectures | LangGraph | Claude - Top Rated Plus | 300k earning with 100% JSS. - Clear scope, honest expectations, and reliable delivery from start to finish. - Built 𝟰𝟬+ agentic systems in 2025 & helped founders turn ideas into VC-funded startups. 𝗟𝗶𝘁𝘁𝗹𝗲 𝗯𝗶𝘁 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗺𝗲: I have 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 of experience designing, building, and delivering software solutions across automation, AI-powered workflows, agent-based systems, intelligent search, and business process optimization, using tools and platforms such as Claude, GPT-5, OpenAI APIs, n8n, LangChain, LlamaIndex, vector databases, cloud platforms, APIs, data pipelines, Voice AI Agents and machine learning-driven applications. I have worked with companies such as 𝗖𝗼𝗰𝗮-𝗖𝗼𝗹𝗮, 𝗞𝗲𝗮𝗽, 𝗗𝗘 𝗦𝗵𝗮𝘄 𝗚𝗿𝗼𝘂𝗽, 𝗠𝘂𝗻𝗶𝗰𝗵 𝗥𝗲, 𝗧𝗿𝗶𝗽𝗹𝗲 𝗪𝗵𝗮𝗹𝗲, and more, helping teams build Production-Grade LLM Systems, scalable AI automation tools, workflow automations, RAG/search systems, integrations, and agentic solutions that streamline operations, improve decision-making agents, reduce manual effort, and deliver measurable business value. 📌 I help organizations automate processes and rapidly build Agents & MVPs to scale. My primary focus is companies that are either really large or really small (pre series A startups, sub 30 employee service companies). ✅ Proven track record of delivering 𝟮𝟱𝟬+ AI, automation, and software projects for businesses ✅ 10+ years of experience building AI-powered workflows, agentic AI, Voice Agents Automations. ✅ Built 40+ agentic systems in 2025, helping clients automate workflows and scale operations ✅ Skilled in Python, C++, n8n, Claude, GPT/OpenAI, RAG, Search, APIs, and data pipelines ✅ Strong YouTube presence through “𝗥𝘆𝗮𝗻 & 𝗠𝗮𝘁𝘁 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲,” with 𝟰𝟯𝗞+ 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲𝗿𝘀. ✅ View Case Studies of real AI automation, Agents and LLM's projects on my website, 𝗪𝗶𝗱𝘁𝗵.𝗮𝗶. ✅ Scalable AI automation that reduces manual work, improves efficiency, and drives ROI. If you are looking for a 𝗧𝗼𝗽-𝗿𝗮𝘁𝗲𝗱 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹, who is in the list of 𝗧𝗼𝗽 1% of Upwork profiles and fast and efficient delivery, then I'm your man. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: n8n | Python | C++ | Replit | Claude | GPT-5 | OpenAI API | ChatGPT | Gemini | Perplexity | LangChain | LlamaIndex | MCP | RAG | AI Agents | Agentic Workflows | Workflow Automation | Business Process Automation | Voice Agents | Intelligent Search | Vector Databases | APIs | Data Pipelines | Streamlit | Azure AI Document Intelligence | Machine Learning | NLP | Computer Vision | Prompt Engineering | ReAct | AI Evaluation | Cloud Platforms | Dashboards | MVP Development | AI MVP | SaaS MVP | Startup MVP | Rapid Prototyping | Idea to MVP | Product Development | MVP Launch | Founder Support | VC-Ready MVP | Product Data Enrichment | SKU Onboarding | Catalog Optimization | LLM Orchestration | Multi-Tenant Systems 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗜’𝗺 𝗣𝗿𝗼𝘂𝗱 𝗢𝗳: 🏆 2 startups in the medical record processing space have taken my document processing work and raised 𝟳 𝗳𝗶𝗴𝘂𝗿𝗲 𝗿𝗼𝘂𝗻𝗱𝘀. 🏆Completed a complex langgraph implementation for a 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟰𝟬𝟬 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 where the work is used by massive brands like 𝗞𝗲𝗻𝘃𝘂𝗲 and 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗠𝗶𝗹𝗹𝘀. It focused on building a system that can optimize product data pages on Amazon based on data around competitors, Production-Grade LLM Systems, historical page data, ranking data, automated seo research, and image optimization algorithms. I focused on 14 react nodes in the structure: generate, LLM as a judge validation, deterministic validation loop for different parts of the workflow. 📌Very focused on document processing systems and building custom SOTA architectures. Let's connect and take your ideas to next level. Matt

I build real-time computer vision systems for robotics, manufacturing, and industrial automation fully deployed on NVIDIA Jetson (Orin NX, AGX, Nano) using YOLO, DeepStream, and GStreamer. These aren’t just prototypes. They’re edge-native, low-latency AI pipelines that run reliably in the real world detecting, classifying, and responding in milliseconds with zero cloud dependency. Whether you need high-throughput object detection, real-time hardware control, or multi-camera CV streaming, I deliver full-stack embedded solutions designed for performance, durability, and deployment at scale. 🏗️ What I Build 🔹 YOLO detection pipelines on Jetson (Orin NX, AGX) 🔹 DeepStream + TensorRT inference pipelines 🔹 Modbus/PLC integration for sorting & inspection 🔹 GStreamer-based multi-camera streaming systems 🔹 Jetson performance tuning (batching, memory, latency) 🔹 Qt/FFmpeg interfaces for human-in-the-loop interaction 🛠️ Tech Stack Breakdown Detection & Inference: YOLO · OpenCV · DeepStream · TensorRT Devices: Jetson Orin NX · AGX Orin · Jetson Nano Control Systems: Modbus RTU · GPIO · UART · PLCs Streaming & UI: GStreamer · FFmpeg · Qt · VLC Model Training: PyTorch · Custom/self-supervised classifiers Backend & Interface: Python · C++ · SQLite · MQTT · Flask/FastAPI ✅ What You Get Sub-100ms real-time inference performance Industrial-grade integration (Modbus, GPIO, PLC) Modular, scalable pipelines with documentation Edge-native AI systems engineered for long-term uptime 📬 Let’s Build Your Edge Intelligence If you’re building an AI-powered inspection tool, robotics system, or embedded computer vision product I’ll help you ship it with confidence and optimize it for the field. 📩 Reach out and let’s turn your camera feed into real-world action.

→ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 → 𝐏𝐡𝐃 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 → 𝟏𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐏𝐫𝐨𝐯𝐞𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐀𝐈, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 → 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐭𝐨 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 → 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐢𝐧 𝐂𝐕𝐏𝐑, 𝐌𝐈𝐂𝐂𝐀𝐈, 𝐖𝐀𝐂𝐕, 𝐓𝐏𝐀𝐌𝐈, 𝐈𝐉𝐂𝐕 & 𝐈𝐂𝐑𝐀 I am a Senior AI/ML and US-trained Computer Vision Engineer with over 15 years of hands-on experience building, training, and deploying production-ready AI solutions. I specialize in Computer Vision, Deep Learning, Machine Learning, Medical Imaging, Healthcare AI, and Image Processing, delivering scalable and real-time AI systems using Python, modern deep learning frameworks, and optimized deployment pipelines for real-world applications. I hold a PhD in Computer Vision and have worked across industry and research on AI projects involving object detection, image segmentation, video analytics, OCR, medical imaging, surveillance systems, healthcare diagnostics, and intelligent automation. My focus is on end-to-end AI development, from data preprocessing and model training to deployment, API integration, and production-ready, scalable AI systems. I have also published numerous peer-reviewed research articles in leading computer vision and AI venues including 𝗖𝗩𝗣𝗥, 𝗠𝗜𝗔, 𝗠𝗜𝗖𝗖𝗔𝗜, 𝗪𝗔𝗖𝗩, 𝗜𝗘𝗘𝗘 𝗧𝗣𝗔𝗠𝗜, 𝗜𝗝𝗖𝗩, and 𝗜𝗖𝗥𝗔, ensuring that the solutions I deliver are research-validated and industry-ready. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • Computer Vision, Machine Learning & Deep Learning • YOLO-based Object Detection & Tracking • Real-time Video Analytics & Inference Systems • Medical Imaging AI (CT, MRI, X-ray, Ultrasound) • Healthcare AI & Radiology Diagnostics • OCR, Document AI & Intelligent Data Extraction • AI Automation & Workflow Systems • Drone Analytics, Surveillance & Action Recognition • Image Segmentation, Classification & Feature Extraction • Edge AI & Optimized Model Deployment • Scalable AI Systems & Production ML Pipelines • AI Agents & Intelligent Systems 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: • YOLO (YOLOv5 – YOLOv10) • Mask R-CNN, U-Net, DeepLabV3, EfficientNet • Custom CNN, GAN, Multi-Modal and Transformer-based vision models • Classical and deep image processing for Computer Vision and Medical Imaging pipelines 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Python, MATLAB, C++ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: PyTorch, TensorFlow, Keras 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: OpenCV, SimpleITK, ITK, Image Processing Pipelines 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-learn, Pandas, NumPy 𝗢𝗖𝗥: Tesseract, PaddleOCR, EasyOCR 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Flask, FastAPI, Docker, REST APIs, Model Serving 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Inference Optimization, Model Testing, Scalable AI Pipelines 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • Principal Machine Learning Engineer in multi-vehicle tracking & real-time Computer Vision systems • Senior Computer Vision Scientist in surveillance, traffic monitoring, healthcare AI & medical imaging solutions • Contributor to projects funded by IARPA, Facebook, Google, HEC, NIJ, Xerox (USA) & US DTS My work in medical imaging AI has been recognized through Google and Facebook Research Awards, while contributions to sports video analytics, CCTV analytics, and healthcare AI have been acknowledged by HEC and top-tier venues such as CVPR. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 • Strong academia & industry expertise in AI, ML, Computer Vision & Healthcare AI • Experience in medical image processing, blood cancer detection & tumor segmentation • Clean, efficient, and production-ready code • Proven deployment experience in real-world and healthcare systems • Clear communication, dependable delivery, and scalable AI solutions 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 • Design custom ML models aligned with business and clinical goals • Deliver accurate, scalable, and reliable AI solutions • Simplify Computer Vision, Medical Imaging, and healthcare workflows • Support deployment and production integration 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗼𝗿 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 to build, optimize, and deploy custom AI solutions, I’m available to discuss your requirements and deliver reliable results.

My name is Syed Qasir Abbas, and I am a senior artificial intelligence developer with extensive experience in machine learning, deep learning, natural language processing (NLP), computer vision, generative AI, and data science. I specialize in creating intelligent systems that think, see, communicate, and create like humans. Over the years, I've successfully completed different AI projects for startups, agencies, and corporations, consistently improving performance, efficiency, and business outcomes with measurable results. What I Can Deliver Models for custom AI, machine learning, and deep learning NLP solutions (chatbots, text analysis, LLM fine-tuning). Computer vision (image, video, OCR, detection) generative AI applications (text, image, design automation) Data analysis, visualization, and predictive insights: AI-powered web apps and model deployment. Model optimization, performance tuning, and explainable artificial intelligence Complete AI solutions, from concept to production

AI Engineer | AI Agents, Automations & Production AI Systems Azure/AWS AI Developer I build production-ready AI systems, SaaS platforms, and automation solutions at a fraction of traditional development costs, without compromising on quality, security, or scalability. My approach combines AI-native development, modern engineering practices, and years of experience building real-world products across healthcare, legal, sports analytics, customer service, computer vision, and business automation. Whether you're launching a new product, building an AI-powered platform, automating operations, or transforming an existing prototype into a production-ready application, I help businesses move from idea to deployment faster and more cost-effectively. Here's what and how I can build for you: 𝗔𝗜 𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Full product development powered by Claude/Cursor and an AI-native workflow. Every build is faster, tighter, and more cost-efficient than traditional development, without any tradeoff on quality or scalability. 𝗦𝗽𝗲𝗰 𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Scope defined, documented, and agreed before development starts. No moving goal posts, no runaway timelines. You know exactly what you're getting and when. 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Custom AI agents, multi-agent systems, RAG platforms, enterprise knowledge bases, AI copilots, voice assistants, and workflow automation solutions powered by modern LLMs. Enterprise search, document intelligence, compliance-focused retrieval systems, citation-based knowledge assistants, and vector database architectures. 𝗣𝗢𝗖 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟴𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Need to validate an idea before committing to a full build? I scope and ship lean, functional proofs of concept that give you real signal without burning your runway. 𝗠𝗩𝗣 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟳𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Go from idea to a fully functional, market-ready product. Built to scale from day one, not patched together and hoping for the best. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 I design context-aware AI systems that provide agents with the right information, memory, tools, instructions, and user history at the right time. This includes conversation state, long-term memory, retrieval pipelines, structured context and prompt strategies. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 End-to-end web and mobile applications using React, Next.js, FastAPI, Python, PostgreSQL, cloud infrastructure, and modern deployment pipelines. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Conversational AI systems, inbound and outbound calling agents, customer support automation, CRM integrations, and intelligent workflow orchestration. 𝗖𝗼𝗱𝗲 𝗖𝗹𝗲𝗮𝗻𝘂𝗽 𝗮𝗻𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 Built your prototype in Lovable, Replit, AI Studio, or another AI tool and hit a wall? I take what you have, audit the codebase, clean it up, add proper authentication, security, and any missing features, and get it production-ready. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 & 𝗖𝗼𝗱𝗲 𝗔𝘂𝗱𝗶𝘁𝘀 Already have a development team or an existing product? I can step in and do architecture reviews, performance optimization, security assessments, scalability planning, technical due diligence, and modernization of existing applications. And also: • AI Agents and Multi-Agent Systems • Voice AI Applications (Retell, Vapi, Bland, LiveKit) • Business Process Automation (n8n, Make, Custom Workflows) • RAG and Knowledge-Based AI Systems • AI-Powered SaaS Features and Products • Document Processing, OCR and Data Extraction • Custom LLM Applications and AI Integrations • Backend APIs and AI Infrastructure • Real-Time AI Systems and Workflow Orchestration Tech Stack: Python, FastAPI, Node.js, TypeScript, React, OpenAI, Claude, Gemini, LangGraph, LangChain, Pinecone, Weaviate, PostgreSQL, MongoDB, AWS, Azure, Docker, n8n, Make, Twilio, Retell, Vapi, LiveKit Recent projects include: • Multi-agent coaching platform with orchestration, memory, and RAG • Voice AI systems for sales, scheduling, and customer support • AI-powered document processing and workflow automation platforms • Knowledge management systems using retrieval and vector search • Automated operational workflows integrating CRMs, communication tools, and business systems I enjoy building products and systems far more than consulting, coaching, or teaching. Most clients hire me when they need someone who can take ownership of implementation and deliver a working solution. If you're looking for an engineer who can design, build, and deploy AI systems that people actually use, let's connect.