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Computer Vision / ML Engineer (12+ years) delivering end-to-end AI systems: computer vision, 3D LiDAR perception, image & audio processing, geospatial (GIS) analytics, Edge AI optimization with TensorRT & CUDA, and production Python backends on AWS/GCP/Azure. Whatever the data source - camera, LiDAR, satellite, drone, microphone, or IoT sensor - I cover the full lifecycle: model development → GPU inference optimization → containerized deployment with Docker & Kubernetes. One engineer, no handoff gaps between research and production. WHAT I DO 🔹 Computer Vision & Deep Learning • Object detection, segmentation, classification & tracking: YOLOv8/YOLO11, Detectron2, Mask R-CNN, SAM 2 • Video analytics & multi-object tracking: ByteTrack, DeepSORT, re-identification, people/vehicle counting, ANPR/license plate recognition • OCR & document AI, face recognition, pose estimation, defect detection & visual inspection for manufacturing QC • Vision-language models (CLIP, Grounding DINO, VLM pipelines) for open-vocabulary detection & visual search • PyTorch, TensorFlow, OpenCV, ONNX 🔹 3D Perception & LiDAR • Point-cloud pipelines: 3D object detection, tracking, semantic segmentation & scene understanding (PointPillars, CenterPoint, PointNet++) • LiDAR + RGB / multi-camera sensor fusion, intrinsic & extrinsic calibration, BEV perception for autonomous vehicles & robotics • SLAM, visual odometry, mapping & localization (ROS/ROS2) for AMRs, drones & spatial analytics • 3D reconstruction, photogrammetry, NeRF & Gaussian Splatting • Open3D, PCL • KITTI, nuScenes, Waymo 🔹 Edge AI, CUDA & Inference Optimization • TensorRT: low-latency, high-throughput engines (INT8/FP8 quantization, layer fusion, profiling with Nsight) • DeepStream (GStreamer): real-time multi-camera / multi-sensor streaming analytics on Jetson & dGPU • Triton Inference Server: scalable production serving (TensorRT / PyTorch / ONNX backends, dynamic batching) • LLM/VLM serving: TensorRT-LLM, vLLM for efficient batching & deployment • Custom CUDA kernels for pre/post-processing when the profiler says so 🔹 AI & AI Agent & LLM • AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI • LLM Deployment: On Cloud platforms like RunAPod, AWS, GCP • Multi-agent architectures system & Multi- model RAG pipelines 🔹 Image & Audio Processing • Image enhancement & restoration: denoising, deblurring, super-resolution (Real-ESRGAN), HDR, color correction, background removal • Classical + deep pipelines: filtering, morphology, feature matching, camera calibration & rectification • Audio: speech-to-text (Whisper), speaker diarization, voice activity detection, sound event classification, noise suppression • librosa, torchaudio 🔹 GIS & Geospatial AI • Satellite, aerial & drone imagery analytics: land-cover segmentation, change detection, building/vehicle/crop detection • Photogrammetry & mapping: orthomosaics, DEM/DSM generation, georeferencing & CRS handling • GDAL, rasterio, GeoPandas, QGIS, PostGIS, Google Earth Engine 🔹 IoT & Industrial Integration • MQTT pub/sub messaging for lightweight edge-to-cloud telemetry • OPC UA for secure, interoperable industrial data exchange • Modbus, RTSP/ONVIF camera integration 🔹 Python Backend & Cloud Infrastructure • FastAPI backends with async, WebSocket & gRPC streaming for real-time inference APIs • Docker + Kubernetes deployment, Terraform Infrastructure as Code • AWS / GCP / Azure, CI/CD (GitHub Actions), MLOps (MLflow, model registries), observability with Prometheus & Grafana, secure multi-tenant patterns INDUSTRIES: autonomous vehicles & robotics, smart city & traffic analytics, security & surveillance, manufacturing & industrial inspection, agriculture & drone mapping, retail analytics, healthcare imaging. HOW I WORK: clear milestones, honest feasibility assessment up front, profiled benchmarks (not guesses), documented handover, and code your team can maintain. 📩 Whether you need a vision or audio model built, a LiDAR / point-cloud pipeline, satellite or drone imagery analyzed, inference accelerated on GPUs and edge devices, or a complete production backend around your AI - message me with a short description of your project and I'll get back to you quickly with a concrete plan and honest feasibility assessment

Hi! My name is Viacheslav Ivannikov, and I excel at leading AI products from an idea to a company. In my experience I found 2 startups, both still functioning, vitreon.app and artroom.ai In terms of AI Engineering I've started out on the dawn of LLMs and AI in general building MVPs and projects. In my last position I've worked on building an AI assistant for a czech retail company making it one of the most developed and fast AI agents of it's kind.

BUILD YOUR AGENT NOW! MCP, LSP, Openclaw, Claude I have been working with AI for my whole career, and agents since 2021! Watching the field bloom but many people still make basic mistakes which add up to a subpar agent I can connect anything, for any workflow automation, using custom agentic tools and techniques from years of trial and error

✔️Skilled professional with an academic background in IT ✔️Proven commercial coding experience as a software developer since 2014 ✔️Extensive knowledge of the whole software development life cycle Over the last 10+ years my team and I have been building AI-powered products, backend systems, SaaS platforms, and automation tools designed around one simple goal - solving real business problems, not just shipping code. We’ve worked both as founders building our own products and as a technical partner helping startups and businesses launch, scale, automate operations, and turn ideas into production-ready systems. Today, our products and systems support millions of users, process large-scale real-time workloads, power AI-driven automation, and generate measurable business results. I work as a Senior Backend Engineer / Python Developer / AI Engineer backed by a full-cycle engineering team covering backend architecture, AI systems, integrations, infrastructure, and product development. 🚀 What We Build We design and develop systems end-to-end: 🔹 backend architecture → APIs → databases → AI layer → integrations → deployment 🔹 MVP → production system → scaling → optimization 🔹 SaaS products → AI automation platforms → internal business systems Core stack: 🔹 Python (FastAPI, Django) 🔹 PostgreSQL / Supabase 🔹 Node.js 🔹 OpenAI API / LLMs / LangChain 🔹 vector databases / embeddings / RAG 🔹 AWS / Azure / DigitalOcean 🔹 REST APIs / webhooks / async systems 🤖 AI + Backend Systems We focus on production-ready AI systems with real business impact: 🔹 AI agents for operations, support, and sales 🔹 AI-powered CRM and lead management systems 🔹 document processing systems (contracts, CVs, invoices, OCR pipelines) 🔹 RAG pipelines and knowledge-based AI tools 🔹 voice agents, WhatsApp/SMS workflows, automation systems 🔹 data extraction, enrichment, and decision-making pipelines We build AI systems that reduce manual work, improve operations, and help businesses scale faster. ⚙️ Backend & System Architecture Strong experience with: 🔹 backend development using FastAPI and Django 🔹 scalable backend architecture and distributed systems 🔹 REST API development and API integrations 🔹 async processing and real-time systems 🔹 event-driven architecture and WebSockets 🔹 secure systems with authentication, roles, and audit logs 🔹 large-scale data pipelines and processing systems A large part of our work involves rescuing or rebuilding unstable systems that were initially developed without proper architecture. 📊 Business Results Some of our results include: 🔹 $700K MRR achieved by an AI SaaS platform 🔹 $800K+ generated by a SaaS platform within its first year 🔹 backend systems supporting products generating $1M+ revenue 🔹 5M+ users reached across products and platforms 🔹 1.9M+ AI interactions processed in production systems 🔹 AI and data pipelines processing 100K+ real-time events daily 🔹 up to 80% operational workload reduction through AI automation 🔹 up to 70% reduction in manual operations via automation systems 🔹 up to 90% reduction in reporting errors after workflow automation implementation 🔹 10x faster document and data processing using AI pipelines 🔹 MVP → production-ready system delivery in ~6–10 weeks 🔹 rescue and rebuild of unstable systems into scalable production platforms 🔌 Integrations & Automation We connect systems into a single scalable workflow: 🔹 third-party API integrations 🔹 CRM systems and lead pipelines 🔹 Stripe subscriptions and payment systems 🔹 Google Sheets API / Microsoft Graph API 🔹 Zapier / Make / n8n automation systems 🔹 messaging systems and notification workflows 🧩 Core Systems & Features We build: 🔹 scalable backend systems with API integration 🔹 AI-powered SaaS platforms 🔹 automation systems and internal tools 🔹 real-time systems and messaging platforms 🔹 admin panels and dashboards 🔹 document processing and OCR pipelines 🔹 analytics and reporting systems 🔹 data-driven platforms with real-time processing 🏭 Industries & Product Types Experience across: 🔹 SaaS platforms and startup MVPs 🔹 AI business automation tools 🔹 CRM and lead management systems 🔹 HRTech and recruitment platforms 🔹 marketplaces and internal systems 🔹 analytics and workflow platforms 🔹 document-heavy and operations-heavy businesses 💡 Core Expertise & Search Coverage 🔹 backend developer / backend engineer 🔹 python developer / django developer / FastAPI developer 🔹 python full stack developer 🔹 AI developer / AI engineer / AI automation specialist 🔹 AI agent developer / LLM / RAG / embeddings 🔹 automation systems / data pipelines / web scraping 🚀 Let’s Build Something That Works - Drop Me a Line!

𝐀𝐈 𝐄𝐱𝐩𝐞𝐫𝐭: 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐞𝐝 𝐢𝐧 𝐑𝐀𝐆, 𝐋𝐋𝐌𝐬, 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 With over seven years of experience and a master's degree in Artificial Intelligence from Charles University, I excel in delivering advanced AI solutions. Here’s how I can help you: 𝗛𝗼𝘄 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 LLM/Retrieval-Augmented Generation (RAG): - Designing and implementing scalable RAG systems - Structuring data for optimal retrieval and generation - Fine-tuning Large Language Models (LLMs) to meet specific needs - Addressing hallucinations in LLMs using LlamaIndex and cutting-edge methods Computer Vision Solutions: - Object Detection - Tracking - Face Recognition - People Counting 🔧 Core Technologies - Python - LangChain - LlamaIndex - PyTorch - YOLO - OpenCV 🏆 Highlighted Projects - People Counting Application: Created an app using YOLO and ByteTracker to count people via video surveillance. - Esports Event Detector: Developed a system to detect players in FIFA, classify scenes, and recognize scores using OCR. - AI Camera Surveillance System: Implemented face and action recognition features. 𝗪𝗵𝘆 𝗺𝗲? - Expertise: Extensive experience in AI and ML, with a deep understanding of both the technical and business aspects. - Efficiency: Proven track record of delivering well-tested, functional applications quickly and efficiently. - Communication: Prioritize prompt communication and keep clients updated on project progress. 𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱? - Consultation: Book a consultation to discuss your project in detail and explore how AI can enhance your business. - Project Development: Reach out to start developing a functional LLM/RAG MVP (minimum viable product) to collect user feedback and generate revenue. Feel free to send me a message with any questions. I look forward to working with you!

I am experienced Senior Machine Learning Engineer with solid math background and tremendous experience using NLP and CV algorithms to solve challenging business problems. Brief summary: - 6+ years commercial experience in NLP and CV domains; - strong organizational, problem-solving and analytical thinking; - team leading experience. Programming languages and frameworks: Python, Databricks, Pytorch, Tensorflow, Scikit-learn, Pandas, Numpy, OpenCV, NLTK, AWS, GCP, Arduino, Tableau, Flask, Django, Streamlit If you are looking for a reliable, creative and experienced AI professional, you have come to the right place - I will eagerly become your longtime partner.