Hire the Best DeepCrawl Freelancers in Istanbul, TR

✅ 100% Job Success Score ✅ AI Engineer with production experience at Baykar Technologies (defense/aerospace, Teknofest R&D) and a leading real estate-tech platform ✅ IBM and Coursera Certified AI Specialist & Data Analyst ✅ Background in Computer Engineering, pursuing master's degree in CS ✅ 5+ years across Machine Learning, Computer Vision, NLP & LLM systems — from R&D to production deployment 𝗠𝗬 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘: - Computer Vision: Model training and deployment with YOLO, TransVOD, OSTrack, MediaPipe — object detection, tracking, pose estimation, camera calibration, video stabilization. - Vision-Language Models: Custom VLM development, video summarization, multimodal content analysis. - LLM & RAG: Fine-tuning, RAG pipelines (LangChain, LlamaIndex, etc), vector search (Qdrant, ChromaDB, FAISS), local/self-hosted inference (Ollama, vLLM). - AI Agents & Automation: Production-grade AI agents, RPA-based scraping and workflow automation. - MLOps & Cloud: AWS (SageMaker, S3, Glue, Athena, QuickSight), Docker, CI/CD (Jenkins, Argo CD) — including a 20% cloud cost reduction through data pipeline optimization. - Full-Stack Delivery: FastAPI, Flask, Streamlit, Gradio, MongoDB — from trained model to deployed, working product. 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦: - Built an AI service that auto-generates listing titles and descriptions for a large-scale real estate platform. - Designed a vector-based semantic search system for production-scale listing retrieval. - Developed a multimodal moderation system to detect harmful/inappropriate content for a large-scale dating application. - Built an end-to-end video summarization pipeline using vision-language models for long-form video understanding. - Developed a memory-augmented conversational AI with persistent long/short-term context retention. - Contributed to Teknofest-recognized computer vision R&D involving object tracking, pose estimation, and IMU-based video stabilization. 𝗪𝗛𝗔𝗧 𝗜 𝗖𝗔𝗡 𝗗𝗢 𝗙𝗢𝗥 𝗬𝗢𝗨: Tailored LLM & RAG systems — chatbots, agents, document Q&A, semantic search. Computer vision solutions — detection, tracking, classification, video analysis. Custom model fine-tuning and optimization for your specific data and use case. Production-ready deployment — APIs, dashboards, cloud infrastructure, cost-optimized pipelines. Data scraping and automation pipelines. 𝗪𝗛𝗬 𝗖𝗛𝗢𝗢𝗦𝗘 𝗠𝗘: 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: My work isn't limited to prototypes — I've shipped AI systems used in real products at scale, from a defense-tech company to a major real estate platform. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗠𝗶𝗻𝗱𝘀𝗲𝘁: I don't just train models; I build and maintain the systems around them — APIs, cloud infra, monitoring, and cost optimization. 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 & 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝘃𝗲: 100% Job Success Score and clear, consistent communication throughout every project. 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽 & 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗜𝗺𝗽𝗮𝗰𝘁: Mentored thousands of aspiring AI/Data professionals through a Bootcamp program.

I help businesses build strong brands, create engaging content, and turn marketing into measurable business growth. With 10+ years of experience across healthcare, technology, and international markets, I specialize in marketing communications, content strategy, social media, PR, international sales, and digital marketing. From planning campaigns to creating content and managing partnerships, I combine creativity with strategic thinking to deliver results. Experienced with advanced AI tools including Seedance 2.0, Google Veo, Midjourney, Kling AI, Higgsfield, and InVideo Agent One, and video editing in Premiere Pro.

AI & CV & LLM & Agent DEVELOPER Python, Streamlit, RAG, AI Application, AI Agent Development, Multi Agent Development, AI Projects , Data Analysis, Machine Learning, YOLO, Diffusion Models, FLUX Expertise in Large Language Models (LLM), OpenAI API, OpenAI Assistant, LLAMA 3, LLAMA 3.1, GPT-4, GPT-4o, Groq GPT Model API Integration, Flask, FastAPI Experinced; - Image classification, - Object detection, - Image segmentation, - Object tracking, - LLM Agents, - Chatbot, - RAG systems, - Transfer Learning, - Diffusion Models - Text-to-image, Image-to-text - Inpainting and outpainting models, - Dreambooth Results-oriented, and detail-oriented. Enthusiastic about machine learning and AI, enjoys research and development.

I’m a Machine Learning Engineer with hands-on experience building, deploying and scaling production ML systems that deliver measurable business value. I design end-to-end solutions across Deep Learning, Computer Vision and Natural Language Processing, and I pair strong research knowledge with pragmatic engineering and MLOps practices to ensure reliability and performance in production. Core Expertise: - End-to-end ML solutions: problem framing, data pipeline, model selection and training, deployment, monitoring, and iteration. - Computer Vision: CNN architectures, object detection, instance/semantic segmentation, OCR pipelines, and face recognition systems. - NLP & Transformers: fine-tuning BERT-style models, text classification, sentiment analysis, named entity recognition, and retrieval-augmented workflows. - Robust MLOps: model optimization, CI/CD for ML, containerization, automated testing, monitoring and cost-efficient deployment. Technical Highlights: - Languages: Python, C/C++, SQL, CUDA. - Frameworks: TensorFlow, PyTorch, Keras, OpenCV, scikit-learn, NLTK, Pandas, NumPy. - Backend & API: Django, Flask, FastAPI; Streamlit & Gradio for demos. - Databases & infra: PostgreSQL, MySQL, MongoDB, vector DBs (Pinecone, ChromaDB); Docker; AWS (SageMaker), GCP (Vertex AI), Azure ML. How I Work: - Clean, maintainable code and modular architectures designed for scale. - Transparent communication, regular updates, clear timelines, and actionable demos. - Focus on delivering reliable solutions that align with business KPIs. If you’d like, I can evaluate your project and propose a phased plan with milestones, deliverables and a timeline. Let’s discuss how to turn your ML idea into production-ready value.