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More than 20 years of extensive experience. Expert in high load, big data oriented, scalable systems. C++, C#, Golang, JavaScript, Objective-C, PHP, Python, Scala, Swift. As a hobby I am constantly evolving and challenging myself in areas like server, mobile and desktop development. Interested in VR, AR, blockchains, financial markets and machine learning as well. Some buzzwords that will help you to find me: Amazon AWS: EC2, Lambda, S3, DynamoDB, Aurora, CodePipeline, CodeDeploy, SES, etc... Serverless architecture. Node.js, ES6, Express.js, React.js, Redux, Vue.js, Vuex, Angular.js, Socket.io Play, Akka, ReactiveMongo, Rediscala MySQL, PostgreSQL, MongoDB RabbitMQ, Memcached, Redis, Sphinx, Elasticsearch GIT, Mercurial, SVN TDD, BDD CI/CD CentOS, Ubuntu/Debian, OSX. Vagrant, Docker, Kubernetes APIs: Facebook, Twitter, Livejournal, VK, JIRA, Mailchimp, Mailgun, Mandrill, Zendesk, Twilio

I help businesses build, improve, and automate their web systems through backend APIs, integrations, dashboards, and workflow automation. I am a Software Engineer specialized in backend and full-stack development, with experience building REST APIs, microservices, internal tools, SaaS features, data-driven applications, and integrations between different systems. My core stack includes Java, Spring Boot, NestJS, TypeScript, Node.js, Python, FastAPI, Angular, Vue.js, Quasar, PostgreSQL, SQL Server, MySQL, Docker, Kubernetes, Google Cloud Platform, Pub/Sub, Redis, and Kafka. I can help you with: Building or improving backend APIs Creating MVPs and internal business tools Automating repetitive manual workflows Connecting systems through API integrations Building dashboards and admin panels Fixing bugs, improving existing applications, and troubleshooting backend issues Working with databases, SQL queries, data processing, ETL, and automation scripts I have worked on projects for banking, insurance, fintech, business operations, and data automation environments. My background combines software engineering, automation, data analysis, and business process understanding, which allows me to deliver solutions that are not only technically solid but also practical for real business needs. I focus on writing maintainable code, understanding the business problem, communicating clearly, and delivering functional solutions that create real value.

Looking for a top-tier Machine Learning Engineer with a proven track record in advanced AI solutions? Let's talk! I'm a Senior Machine Learning Engineer with 7+ years of hands-on experience architecting, deploying, and optimizing end-to-end ML pipelines. I’ve led AI initiatives in diverse settings—from enabling facial recognition and real-time LLM services at the Congress of Chile, to building Job-Boost APIs and AI-driven resume optimizers at fast-growing tech companies in New York. ⭐ Highlights & Achievements: - Facial Recognition & NLP: Built a robust facial recognition system (DeepFace + AWS stack) and integrated advanced LLMs for real-time transcription and chat-driven legislative queries. - End-to-End MLOps: Expert with Docker, Kubernetes, Portainer, Celery, and Redis—ensuring seamless deployment and high-performance GPU/TPU workflows (NVIDIA A100/H100). - Career.io’s Job-Boost API: Implemented ML-driven resume optimizations, job recommendations, and skill extraction—boosting user productivity by 95% and job-match success rates by 93%. - Database & Cloud: Proficient with MongoDB, SQL, and major clouds (AWS, Azure, GCP). - Consistent 5.0 Upwork Rating: Delivered numerous AI, NLP, and web scraping projects to global clients with a 100% success record. Core Competencies: - Machine Learning (supervised, unsupervised, deep learning, reinforcement learning) - Natural Language Processing (BERT, GPT, Transformers, RAG, Faster-Whisper) - MLOps & Model Serving (TensorRT, ONNX, Triton Inference Server, CI/CD) - Big Data & Analytics (Apache Airflow, Kubeflow, large-scale data pipelines) - Performance Optimization (CUDA, distributed training with Horovod) I'm committed to delivering high-impact solutions that solve real-world problems—whether you need quick consulting or a fully architected ML system. My goal is to push the boundaries of AI and empower organizations with robust, scalable, and cost-effective ML infrastructures. Ready to collaborate? Let’s connect and turn your ideas into transformative AI solutions!