Hire the Best TensorFlow Developers

-- Top 3% of AI Developers on Upwork (rated: Top Rated Plus) -- 5+ Years of Professional Experience in Machine Learning -- Specialized in Generative AI, Image Generation, and Speech Generation As a specialist in AI, I bring a strong theoretical foundation alongside practical expertise in machine learning, deep learning, and generative AI models. With over 5 years of experience, I excel in applying advanced AI techniques to solve complex problems in image generation, speech synthesis, and more. Key Areas of Expertise: - Deep expertise in generative AI models for image, video, and speech generation (GANs, VAEs, diffusion models). - Skilled in designing and fine-tuning LLMs and multimodal models, integrating image, text, and speech for advanced AI solutions. - Proficient in the full ML/DL pipeline: architecture design, model training, deployment, and continuous optimization. - Extensive experience in applying cutting-edge neural networks for computer vision, NLP, and audio processing. - Developed custom generative models for use cases including text-to-image, image-to-image, speech-to-text, text-to-speech, and voice cloning. - Implemented solutions for automated content generation, image captioning, visual understanding, speech synthesis, and multimodal fusion. - Focused on optimizing models for deployment on mobile, cloud, and edge devices using tools like PyTorch, TensorFlow, and NVIDIA frameworks. Research Experience: - Published work in reinforcement learning at ICML ("Inverse Constrained Reinforcement Learning") with applications in human feedback for improving generative models. - Expertise in Reinforcement Learning from Human Feedback (RLHF), a key technique used in training high-performance LLMs and generative models. Technical Skills: - Core Areas: Generative AI, Image Generation, Speech Generation, Multimodal AI, Computer Vision, NLP, OCR, Large Language Models, Big Data Analytics. - Libraries/Frameworks: TensorFlow, Keras, PyTorch, Hugging Face, OpenAI, CoreML, FastAPI, Flask. - Toolkits: PyTorch, Numpy, Pandas, CUDA, TensorFlow, OpenCV, Tflite. - Operational Tools: GCP, AWS, Kubernetes, Docker, Github, Gitlab.

AI Engineer specializing in production LLM systems, Agentic AI, RAG, and Edge AI deployments. I build AI systems that go beyond prototypes — scalable, observable, and production-ready applications designed for reliability and real-world usage. My experience spans multi-agent systems, real-time Voice AI, advanced RAG pipelines, NVIDIA Jetson edge deployments, and computer vision systems, with a strong focus on latency optimization, workflow durability, and system observability. 🚨 Common AI Problems I Solve → Hallucinations and unreliable retrieval → Slow streaming and high-latency inference → Agents losing memory, context, or execution state → Poor observability and difficult debugging → AI demos that fail in production environments ✅ Production-Focused Solutions → Durable agent workflows using Temporal & DBOS → Advanced RAG pipelines with hybrid retrieval and reranking → Full tracing and observability for agents, tools, and LLM workflows → Real-time streaming architectures for Voice AI and conversational systems → Edge AI optimization on NVIDIA Jetson using TensorRT & DeepStream Core Expertise 🤖 Agentic AI & Multi-Agent Systems → Multi-agent orchestration and tool-use systems → LangGraph, LlamaIndex, AutoGen, Google ADK, PydanticAI → MCP servers, memory systems, planning, and HITL workflows 🔍 RAG & LLM Systems → Production RAG pipelines and knowledge-base AI → Hybrid search, reranking, embeddings, and retrieval optimization → GPT-4o, Gemini, Claude, LLaMA, Qwen, multimodal systems 🎙️ Real-Time Voice AI → Stateful voice agents with streaming audio pipelines → WebSocket-based low-latency architectures → Gemini-native voice agents and conversational workflows 👁️ Edge AI & Computer Vision → NVIDIA Jetson Orin/Nano deployments → YOLO, OCR, segmentation, tracking, and video analytics → TensorRT, DeepStream, edge inference optimization 🌐 Backend & Infrastructure → FastAPI, Django, REST APIs, WebSockets → PostgreSQL, Neo4j, Redis, vector databases → Docker, scalable deployment pipelines, event-driven systems ⭐ Selected Projects ✓ Conversena — Arabic conversational commerce AI with multi-agent workflows, hybrid RAG, multimodal search, and persistent memory ✓ VidEduGen — Multi-agent AI platform for automated educational video generation using scalable event-driven architecture ✓ Real-time Edge AI System — NVIDIA Jetson-based multi-camera vision pipeline with OCR, TensorRT, and DeepStream optimization ⭐ Why Clients Work With Me ✔ Production-first engineering mindset ✔ Strong expertise in Agentic AI and scalable LLM systems ✔ Real-world experience with Voice AI and Edge AI deployments ✔ Clear communication and maintainable system design If you’re building: → AI agents or multi-agent systems → RAG or knowledge-base AI applications → Voice AI or conversational systems → Edge AI / NVIDIA Jetson deployments → Computer vision or real-time AI pipelines I can help you design and ship a reliable production-grade AI system. 📩 Feel free to message me to discuss your project.

I am a Senior AI/ML Engineer with 8+ years of experience designing and deploying scalable Artificial Intelligence systems. I specialize in Large Language Models (LLMs), Generative AI, Deep Learning, NLP, and AI-powered applications that help businesses automate processes, extract insights from data, and build intelligent products. I have strong experience building AI-powered platforms, chatbots, recommendation systems, computer vision solutions, and LLM-based applications using modern frameworks and cloud infrastructure. My expertise includes end-to-end AI system development from research and model training to production deployment and monitoring. What I can help you build • LLM Applications (GPT, LLaMA, Claude, Mistral) • RAG Systems with vector databases (Pinecone, FAISS, Weaviate, ChromaDB) • AI Chatbots & Conversational AI for web, Slack, WhatsApp, Telegram • Generative AI solutions (text, image, and code generation) • Custom NLP pipelines (NER, sentiment analysis, classification, summarization) • Deep Learning models for prediction, automation, and data intelligence • Computer Vision systems (object detection, image classification) • Agentic AI systems using LangChain, LangGraph, and LlamaIndex • Model training, fine-tuning and optimization (LoRA, PEFT, quantization) • MLOps pipelines and scalable AI deployment Technologies & Tools: AI / Machine Learning TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face LLM & GenAI OpenAI API, LangChain, LlamaIndex, Transformers, RAG architectures Deep Learning CNN, RNN, LSTM, Transformers, GANs, Autoencoders Vector Databases Pinecone, FAISS, Weaviate, Milvus, Qdrant Cloud & Infrastructure AWS, GCP, Azure, Docker, Kubernetes, CI/CD Languages Python, Bash/Shell scripting Why work with me ✔ 8+ years of AI/ML experience ✔ Production ready AI systems ✔ Scalable architectures for startups and enterprises ✔ Strong research + engineering background ✔ Clean, maintainable, well-documented code If you're looking to build AI products, LLM applications, intelligent chatbots, or scalable machine learning systems, feel free to reach out.

AI Engineer with over 6 years of hands-on experience in Natural Language Processing (NLP), Computer Vision, and Recommender Systems. With a proven track record on Kaggle, I'm ranked in the top 10% of competitors worldwide. 🌍 My expertise extends to designing, training, testing, and deploying end-to-end applications using Django, Nginx, and Gunicorn on platforms such as AWS, Heroku, and GCP. I have a solid background in working with REST APIs and containers, ensuring smooth integration and deployment of AI solutions. 🚀 My technical toolkit includes: 🔸 Deep Learning Models: Keras, TensorFlow, PyTorch 🔸 Batch & Stream Processing: Spark SQL 🔸 Backend Development: PostgreSQL 🔸 AWS Services: S3, Kinesis, Dynamo DB, Elasticsearch, Redis via Boto3 In the NLP domain, I have worked on developing chatbots, data extraction pipelines, text classification, and sequence labeling. I have also finetuned large language models like GPT-3 and LLAMA for specific use cases. In Computer Vision, I've worked on object detection, OCR models, player and ball tracking in sports analytics, video analytics and more. I have a track record of creating efficient models for fast processing and small memory usage. In Generative AI, I have developed high-quality image generation models using stable diffusion and text generation models using OpenAI GPT models. I've had the privilege to work with diverse remote teams from the USA, Russia, Germany, Japan, and the Philippines, honing my collaboration and communication skills. Let's leverage AI to transform your business processes, enhance customer experiences, and unlock new opportunities. Reach out to discuss how we can collaborate to achieve your goals. Looking forward to helping you bring your AI vision to life! 😊

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation

I’m a Back-End Developer specializing in Django, Django REST Framework, PostgreSQL, and MySQL, with strong experience building secure, scalable, and well-structured APIs for real-world applications. I focus on writing clean, maintainable code, designing efficient database systems, and delivering reliable backend logic that supports smooth, high-performance user experiences. Alongside backend development, I bring solid skills in Machine Learning and Data Analytics, using tools like Pandas, NumPy, scikit-learn, TensorFlow, and Power BI to build predictive models, automate workflows, and create data-driven dashboards. This allows me to support clients who need both robust backend systems and intelligent, analytics-powered features. I have successfully completed projects with 100% Job Success, demonstrating strong communication, consistent delivery, and high-quality results. I always ensure clear documentation, proper API testing, and smooth integrations for frontend developers. #. What I Can Do for You Build and document REST APIs (JWT Authentication, CRUD, filtering, pagination) Design and optimize relational databases (PostgreSQL, MySQL) Deploy backend systems using Docker, Linux, GitHub, and cloud services Integrate Celery + Redis for background jobs and async tasks Develop ML models for prediction, classification, and automation Create interactive dashboards and data visualizations Troubleshoot, refactor, and scale existing backend systems