Hire the Best Transformer Model Specialists

🏆 Top Rated Plus • ⭐ Expert-Vetted (Top 1%) • 💯 100% Job Success 💵 $40-60/hr 🚀 I build AI systems that turn visual & complex data into real intelligence, not demos. If you have satellite imagery, video, sensor data, or large datasets but struggle to extract insights, automate workflows, or build production-ready AI… 👉 I help you turn that into a scalable, usable system. --- 🎯 What I do I help companies transform raw data into: ✔ Detectable objects (assets, infrastructure, events) ✔ Structured, usable datasets ✔ Queryable intelligence (APIs, dashboards, AI agents) Most of my work sits at the intersection of: 🛰️ Satellite & geospatial data 📹 Video / camera / drone imagery 🤖 AI agents & intelligent query systems --- 💡 Common problems I solve ✔ “We have image/satellite data but no usable insights” ✔ “We need to detect and track objects at scale” ✔ “Our analysts are doing manual work that should be automated” ✔ “We want to query our data using AI” ✔ “We need real-time or edge AI (cameras, drones, devices)” --- 🧱 What I build (systems, not scripts) ★ Object detection pipelines (satellite, CCTV, drone) ★ Change detection & monitoring systems ★ Data pipelines (ingestion → processing → structured output) ★ AI query layers (chatbots, APIs, agent workflows) ★ Edge + cloud deployments 👉 Same core system, adapted to your use case --- 🛰️ Experience Geospatial & infrastructure intelligence ✔ Roads, pipelines, power plants, industrial assets ✔ Satellite imagery (Sentinel, Landsat, Planet, Maxar) ✔ Large-scale mapping & change detection Visual intelligence (camera / drone / CCTV) ✔ Object detection, tracking, segmentation ✔ Real-time monitoring systems ✔ Industrial, security & operational use cases AI agents & data interaction ✔ Natural language interfaces over complex datasets ✔ RAG systems + tool-using agents ✔ Workflow automation (filtering, querying, analysis) --- 📈 Results I’ve delivered ⚡ Reduced manual analysis by 80–90% 🛰️ Built satellite detection systems used in commercial products 🛩️ Real-time vision systems under 100ms latency 🤖 AI agents replacing analyst workflows 💸 Reduced AI compute costs by 50%+ --- 🔧 How I work ✔ Define success metrics (latency, accuracy, cost) ✔ Design clear system architecture ✔ Build fast, iterate early — no black boxes ✔ Deliver production-ready systems with monitoring --- 🎯 Best fit clients ✔ Companies with large datasets (images, satellite, video, sensor, text) ✔ Teams building data or analytics products ✔ Startups turning data into a commercial offering ✔ Businesses that need production-ready AI ❌ Not a fit for small scripts or generic chatbot work --- 📩 Ready to start? Send me: ✔ What data you have ✔ What you want to detect / analyze ✔ Where this system will run (cloud / edge / etc.) I’ll respond with a clear plan and next steps. --- 🔎 Core tech Computer Vision • Satellite AI • Geospatial ML • YOLO • SAM • PyTorch RAG • LangGraph • AI Agents • vLLM Edge AI • TensorRT AWS • GCP • Docker • Ray • MLflow

Hello, I’m the founder of StreamTech, with over 11,000 hours across more than 100 AI and machine learning projects since 2016. I bring deep expertise in computer vision and edge AI ranging from object detection, tracking, and OCR to pose estimation, generative image processing, and event detection in sports feeds. I also excel in building intelligent AI agents and LLM driven chatbots that leverage multi turn dialog, RAG enabled memory systems, and API orchestration. My offerings extend beyond AI models and edge deployment. I provide full mobile experience solutions, creating cross platform React Native apps complemented by thoughtful UI/UX design. Whether it's crafting intuitive interfaces, responsive layouts, or seamless animations tailored for both iOS and Android, I ensure that the user experience complements the underlying AI technology. I guide projects end to end, collecting and labeling data, architecting and training models with PyTorch and TensorFlow, and deploying solutions either in the cloud (AWS, GCP) or on edge devices like Jetson Nano, Xavier, and Orin using DeepStream SDK. My engineering stack includes Python, C++, OpenCV, MediaPipe, OpenPose, SMPL, GANs, Stable Diffusion, Docker, and Kubernetes. At StreamTech, our mission has always been to harness cutting edge tech for meaningful business impact. By blending AI innovation with elegant mobile design, I help entrepreneurs and managers accelerate product development. If you're envisioning a mobile solution powered by CV or conversational AI, or need an AI agent interface that shines on mobile, let’s connect and explore how we can craft something exceptional together. Cheers!!

I am a Machine Learning Engineer with four years of experience working across deep learning research, large scale AI systems, and production model deployment. Over the years, I have worked extensively in medical imaging, computer vision, NLP, signal processing, and large language models, building systems that range from experimental research pipelines to deployed real world AI applications. My day to day work primarily involves Python, PyTorch, TensorFlow, Keras, HuggingFace Transformers, sentence transformers, scikit learn, OpenCV, Pandas, and NumPy. I enjoy working deeply on both the research and engineering sides of machine learning, especially problems that require understanding model behavior rather than simply applying existing architectures blindly. A large part of my background is research driven. I have authored multiple peer reviewed publications in indexed journals and IEEE conferences, including publications in Neurocomputing, Healthcare Analytics, Engineering Applications of Artificial Intelligence, Telematics and Informatics Reports, and other Elsevier and IEEE venues. My research has focused heavily on explainable AI, healthcare AI, and advanced deep learning systems. Some of my published work includes CARDxnosis, an explainable knowledge driven framework for ECG diagnosis and clinical report generation, an explainable AI system for trustworthy arrhythmia detection, a CNN RNN Attention hybrid architecture for automatic modulation classification, ensemble deep learning approaches for lung cancer detection from CT scans, and SRGAN based white blood cell image generation and classification pipelines. Alongside published work, I am currently involved in research on brain tumor segmentation, ADHD and ASD classification from brain connectome graphs, epileptic seizure prediction from EEG signals, and interpretable tabular learning using graph neural networks combined with Kolmogorov Arnold Networks. Beyond research, I have substantial hands on experience building and deploying production grade AI systems. One of my major recent projects was LaborBERT v4, a domain adaptive transformer fine tuning system processing hundreds of thousands of records through a large scale training pipeline. The project involved multiple experimental setups including contrastive learning, masked language model pretraining, temporal contrastive learning, cross attention based fusion, multi task training, and Matryoshka Representation Learning. I have also built hybrid embeddings plus LLM systems for taxonomy mapping using OpenAI embeddings alongside locally hosted LLaMA and Mistral models through Ollama. In addition, I have worked on deployed clinical AI systems and a portable on device diagnostic AI solution with embedded deep learning models for point of care inference, which gave me valuable experience in optimization, deployment constraints, inference design, and production reliability. My broader project portfolio includes vehicle detection using Mask R CNN, human activity recognition on the Kinetics 700 dataset, facial keypoint detection with MultiRes UNet, semantic segmentation pipeline redesign, Stable Diffusion based image editing workflows, toxic comment classification, RASA based conversational AI systems, and large scale scraping and automation pipelines using Playwright and Selenium. I have also worked with Flask and Django based deployment pipelines and cloud hosted ML systems. From an engineering perspective, I care strongly about clean and maintainable systems. I follow disciplined workflows involving modular code design, Git based version control, reproducible experimentation, structured evaluation, bootstrap validated metrics, and detailed documentation. I am also comfortable preparing scientific reports, research papers, and journal submissions using both LaTeX and Word. What ties all of this together is that I genuinely enjoy solving difficult technical problems, especially the kind that require balancing research depth with practical engineering constraints. I am most motivated by projects where thoughtful experimentation, careful system design, and real world usability matter equally.

Hi, Let's turn your AI vision into reality! I'm a Top-Rated Plus AI Engineer specializing in enterprise-grade full stack AI solutions, multi-agent systems, and scalable backend architecture. With 4+ years of focused AI development experience and a proven track record at multinational companies, I transform complex business requirements into intelligent, production-ready applications that drive measurable results. 🎯 Core Specializations: Agentic AI & Multi-Agent Systems Expert in building cutting-edge agentic applications using LangGraph, CrewAI, and Model Context Protocol (MCP). I develop custom multi-agent architectures tailored to specific business use cases, enabling intelligent automation and decision-making systems. Advanced RAG Applications Built 10+ production RAG systems with self-RAG and adaptive architectures. Specialized in implementing evaluation frameworks and optimizing retrieval accuracy for enterprise-scale applications across multiple industries. LLM Fine-tuning & Cost Optimization Proven expertise in instruction fine-tuning (GPT-4o mini), custom model training, and cost-effective model replacement strategies. Successfully reduced client AI costs by up to 40% while maintaining performance through strategic open-source model implementation. Enterprise Backend Development Master-level proficiency in Python (FastAPI, Flask), database design with Alembic versioning, and cloud deployment across AWS, Azure, and GCP. Built scalable systems handling enterprise-level workloads with robust CI/CD pipelines. 💡 Technical Arsenal: AI/ML Frameworks: LangChain, LlamaIndex, Ollama, TGI, VLLM Vector Databases: Weaviate, Pinecone, FAISS, ChromaDB Data Processing: PDF, DOCX, PPTX, Excel, images (OCR), web scraping Models: OpenAI, Claude, Gemini, fine-tuned open-source models MLOps: Docker, CI/CD pipelines, Airflow, model versioning, evaluation frameworks Computer Vision & NLP: Custom model training, Stable Diffusion, OCR optimization Backend: PostgreSQL, MySQL, MongoDB, database versioning with Alembic Cloud & DevOps: AWS, Azure, GCP, containerization, Scalable deployment ✅ Why Choose Me: Proven Excellence: Top-rated freelancer with enterprise-level project experience and multinational company background and startup companies Innovation-Driven: Stay ahead of AI trends, implementing cutting-edge technologies like MCP, adaptive RAG, and latest LLM advancements daily Cost-Conscious Solutions: Specialize in building high-performance AI systems that optimize costs without compromising quality Full-Stack Capability: While AI/ML focused, I possess frontend integration skills and can deliver complete end-to-end solutions Exceptional Collaboration: High availability, flexible timing, proficient with GitHub/GitLab workflows, and always eager to explore new technologies Quality Standards: Write production-grade code, implement proper testing frameworks, and follow industry best practices for maintainable and scalable solution.

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

!!! (Update 8/2024) I am now, Top 1% Expert Vetted on Upwork!!! As a seasoned Natural Language Processing (NLP) researcher at Kyoto University, I bring a wealth of experience in working with large language models (LLMs) and advanced image models. My research journey has offered me the privilege of experimenting with cutting-edge AI technologies, enabling the creation of bespoke models designed to address distinct NLP challenges. My technical skills span a broad spectrum of LLMs, including the GPT series, BERT, and XLNet. Leveraging these formidable technologies, I have successfully architected solutions for a wide range of applications, such as language translation, text generation, and speech synthesis. In addition to my extensive work with LLMs, I have honed my skills in fine-tuning stable diffusion (Including SDXL) models for specific domains and faces using LoRA, and Dreambooth. This expertise allows me to develop AI models that are highly optimized for specialized use-cases. Furthermore, I have at my disposal high-performance GPUs, ensuring not only efficient computation but also the capacity to train the most resource-intensive models. Here are some of the services I can provide: LoRA tuning for LLMs and image models (including Flux). Fine-tuning of LLMs and image models. Development of interactive chatbots. Design and creation of task-specific deep learning models. Prompt engineering to optimize the performance of AI models. API endpoints with FastAPI or Go for all the tasks. With a commitment to delivering top-notch AI solutions tailored to your project needs, I am ready to take your AI initiatives to the next level. Let's collaborate to bring your vision to life. P.S. This intro was written with help of a LLama2 model finetuned on a custom dataset.