Hire the Best Computer Vision Engineers
in Germany

🚀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

With a Master's in Data Science degree and nearly 7 years of experience working in AI-related fields like Computer Vision, Fintech, Cybersecurity, and NLP, I bring expertise in the following tech: - Programming Language: Python, C#, JavaScript - Machine Learning: Neural Networks, Time Series AI, Anomaly, and Adversarial Detection - Frameworks: PyTorch, Huggingface, SciPy, OpenCV, Rasa, Keras, Tensorflow, Pandas, SQLAlchemy, Scapy - ETL: Pentaho Data Integration, Aache Airflow - Database: MySQL, MS SQL, PostgreSQL - API: Flask, FastAPI - Version Control: GIT, DVC - Content Writing: Data Science, Computer Vision Projects, and Machine Learning. - Development: Docker I provide computer vision solutions from data labelling to model development and deployment. I hold ~3 years of experience in building computer vision-based solutions for high-throughput environments. Additionally, I provide data-driven insights using a range of analytical tools. I have strong knowledge of developing backend and data applications. In the past, I worked on a stock market project in which I built a stock backtesting and trading bot. Let's get in touch and discuss further. Thanks. BR, Ramkrishna

I am a software engineer with over 20 years experience in computer vision, AI and hardware controlling. I can combine the above technologies with the Web in order to get a great final solution. I can also create offline solutions in C++ and Python. I can manage projects, work alone and in a team. Before the start of each project I define milestones and inform regularly the customer about the status and ask for feedback after each reached milestone

Computer Vision & Deep Learning Research Engineer | & AR/VR Developer I am a computer vision research engineer with extensive experience in developing state-of-the-art transformer-based deep learning models for a wide range of vision tasks, including: • Semantic Segmentation • Object Detection • 3D Reconstruction & Novel View Synthesis • Optical Flow Estimation With several years of research and hands-on development, I specialize in building models that are not only accurate but also scalable, efficient, and optimized for real-time deployment on resource-constrained edge devices. Beyond research, I also bring expertise in AR/VR application development, having built immersive experiences for Meta Quest and Microsoft HoloLens using Unity. 💡 What I can do for you: • Design and implement robust computer vision systems from end to end, from synthetic data generation to model training and deployment. • Build solutions that work even with limited training data, using creative approaches and augmentation strategies. • Anything to do with images and videos. • Optimize and deploy AI models on mobile, edge, or embedded hardware. • Develop engaging AR/VR applications for headsets like Meta Quest and HoloLens. Whether you need cutting-edge research, a production-ready computer vision system, or a VR application, I can help bring your ideas to life.

🚀 About Me: I am a AI & ML Data Annotation Specialist, Deep Learning Engineer & Computer Vision Specialist with 4+ years of experience in Data collection, Data cleaning, Data annotation and training CNN-based models for Object Detection, Image Segmentation, and Tracking. I have successfully built high-accuracy AI solutions for many industries. 💡 My Expertise: ✔ 2D & 3D Image Annotations: Bounding Box, Polygon, Polyline, Point, Semantic & Instance Segmentation and Key point, Cuboid, LIDAR, OCR and Mesh Annotation. ✔ Video Annotations: Object Tracking (Bounding Box, Polygon, Keypoint, Polyline), Action Recognition & Event Tagging and Audio-Visual Annotations. ✔ NLP Data Labeling: Named Entity Recognition, Sentiment Analysis and Text Categorization. ✔ Data annotation tools: CVAT, LabelStudio, Roboflow, Labelbox, VIA (VGG Image Annotation) SuperAnnotate, and Scale AI. ✔ Deep Learning Models: YOLO (v3/v4/v5/v8), Faster R-CNN, Mask R-CNN, DeepLab, CenterNet, CenterTrack ✔ Computer Vision Applications: Object Detection, Segmentation, Keypoint Tracking, Image Classification ✔ Machine Learning Tools: Scikit-learn, Pandas, NumPy, Matplotlib, OpenCV ✔ Python Programming & AI Frameworks: TensorFlow, PyTorch, Keras ✔ Cloud Computing & Deployment: AWS (S3, EC2, Lambda), Google Colab, ONNX, TensorRT ✔ CNN Architectures – ResNet, Xception, AlexNet, VGGNet ✔ Quality Control for AI training models. 🔥 Why Work With Me? 🔹 Proven Expertise in AI & Deep Learning: Hands-on experience with CNN-based models for object detection, segmentation, and tracking. 🔹 Strong Python & ML Skillset: Proficient in TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, and OpenCV to build scalable AI solutions. 🔹 High-Performance AI Models: Achieved state-of-the-art accuracy in multiple projects, ensuring fast and reliable inference. 🔹 Cloud & Deployment Ready: Experience in AWS, Google Colab, TensorRT, and ONNX for cloud-based AI solutions and model optimization. 🔹 End-to-End AI Development: Expertise in data preprocessing, model training, fine-tuning, and deployment for production-ready AI applications. 🔹 Client-Focused & Results-Driven: Committed to delivering high-quality AI models on time, ensuring maximum efficiency and accuracy. Let’s discuss how I can build or improve your AI models! 🚀