Edvard S.
AWS Certified ML Specialist (MLS-C01) | AI/ML Engineer | LLM Developer
⭐⭐⭐⭐⭐ Top-Rated AWS Certified AI/ML Engineer & Full-Stack Developer | 10+ Years of Experience 🏅 AWS Certified Machine Learning Specialist (MLS-C01) 🏅 Proven Expert in Machine Learning, AI Systems & Scalable Web Applications 🏆 10+ Years of Success in AI, NLP, Computer Vision & Enterprise Software ⭐ 100% Client Satisfaction | Reliable | Results-Driven | Long-Term Partner ✔ AI/ML Engineer & Algorithm Specialist ✔ Python Full-Stack Developer & Cloud Architect ✔ System Optimization & DevOps Expert ⭐ AI & Machine Learning Expertise ___________________________________________________________________________ As an AWS Certified Machine Learning Specialist (MLS-C01), I build fully cloud-native AI pipelines, deploy optimized models on AWS, integrate serverless architectures, and use AWS tools like SageMaker, Lambda, API Gateway, and CloudFront to deliver scalable and production-ready ML systems. Over a decade of hands-on experience in Machine Learning. I design and implement production-grade AI systems that deliver measurable business impact. My work spans NLP, Computer Vision, and Speech AI, with a strong focus on scalable, cloud-based architectures. ✔Core AI Skills: - NLP: Chatbots, Sentiment Analysis, Summarization, Text Classification - Computer Vision: Object Detection, Image Segmentation, Facial Recognition - Speech AI: Speech-to-Text, Text-to-Speech, Voice Assistants - Optimization: TensorRT, ONNX, quantization for high-speed inference - MLOps: MLflow, DVC, CI/CD, model deployment and monitoring ✔AI Project Highlights: - Developed sentiment analysis engine for marketing analytics SaaS - Built speech recognition pipeline for a voice assistant platform - Trained GAN-based models to generate synthetic healthcare data - Designed anomaly detection system for industrial QA ⭐Full Stack Development & System Architecture ___________________________________________________________________________ Alongside AI, I bring 9+ years of experience in enterprise-grade web applications, cloud architecture, and high-load system design. I specialize in building secure, scalable, and optimized infrastructures from the ground up. ✔ Backend Expertise: - Languages & Frameworks: Python (Django, FastAPI, Flask), PHP (Laravel, CakePHP), Node.js (Express, Sails.js), C# (.NET) - APIs & Microservices: REST, GraphQL, containerized microservices - Optimization: CDN setup, caching, load balancing, cloud scaling ✔Frontend & Mobile: - Frontend Frameworks: React, Vue.js, Angular, TailwindCSS - Mobile: React Native, Ionic, PhoneGap, ElectronJS ✔Cloud & DevOps: - Platforms: AWS (S3, CodeDeploy, CloudFront, IAM), GCP, Azure, DigitalOcean, Heroku - Tools: Docker, Kubernetes, Terraform, CI/CD pipelines - DevOps/DataOps: Automation, continuous deployment, monitoring ✔Databases & Data Engineering: - SQL: MySQL, PostgreSQL, SQL Server, Oracle - NoSQL: MongoDB, Redis, CouchDB, BigQuery - Data Systems: Distributed MPP databases, data pipelines, master data management ⭐ Why Clients Work With Me ___________________________________________________________________________ - End-to-End Expertise: AI, architecture, and full-stack development in one place - Scalable Engineering: Proven ability to handle large systems and data-intensive apps - High Standards: Security, data integrity, and clean code are always prioritized - Reliable Partner: Strong communication, consistent delivery, and long-term collaboration - I’m available for 40+ hours per week and ready to take on challenging, large-scale projects that require both deep AI expertise and solid full-stack engineering.
Earnings and projects
An estimate from an earlier read
Billed in all: $854,956$855k
$0 in the last 6 months
Across 6 contracts
Across 9 contracts
Earnings, last 30 days
One reading so far: earnings show from the second.