06/12/2025 updated
HL
100 % available
Senior AI & Full Stack Engineer with Cloud Services Expertise
Stockholm, Sweden
Only remote
Bachelor in Computer ScienceAutomated Customer Account Transfer ServiceArtificial IntelligenceAmazon Web ServicesData AnalysisCloud ComputingDatabasesContinuous IntegrationData IntegrationShard (Database Architecture)DevOpsProtocol BuffersPostgreSQLMachine LearningMongoDBNode.js
AI & Machine Learning
Expertise in developing multi-agent LLM systems using LangChain, AutoGen, and DSPy. Experience with reinforcement learning models (PPO, DQN) at scale and fine-tuning Llama models for knowledge-intensive tasks.
Full Stack Development
Proficiency in building end-to-end applications with React/Next.js frontends and FastAPI/Node.js backends. Strong experience with TypeScript, Angular, and various frontend frameworks for creating responsive and pixel-perfect interfaces.
Cloud & DevOps
Expertise in designing cloud-native architectures on AWS/GCP using Lambda, ECS, and Cloud Run with Terraform IaC. Implementation of CI/CD pipelines with Jenkins, Docker, and Kubernetes for containerized applications.
Database Management
Implementation of database sharding and advanced indexing strategies in PostgreSQL. Experience with Redis caching, MongoDB for NoSQL data, and optimizing GraphQL backend systems.
Microservices Architecture
Design of high-performance RESTful APIs using Node.js/Express and gRPC/Protobuf within microservices architecture. Migration from monolithic to microservices-based architecture for improved system performance.
Security & Performance Optimization
Implementation of DDoS attack mitigation through automated traffic monitoring. Experience with optimistic locking, AWS SQS for message queues, and Triton Inference Server to reduce ML serving latency.
Data Integration & Analytics
Development of RAG pipelines with vector databases (Pinecone/Weaviate) and hybrid search, improving knowledge retrieval accuracy. Integration of predictive analytics and automated customer support chatbots.
Expertise in developing multi-agent LLM systems using LangChain, AutoGen, and DSPy. Experience with reinforcement learning models (PPO, DQN) at scale and fine-tuning Llama models for knowledge-intensive tasks.
Full Stack Development
Proficiency in building end-to-end applications with React/Next.js frontends and FastAPI/Node.js backends. Strong experience with TypeScript, Angular, and various frontend frameworks for creating responsive and pixel-perfect interfaces.
Cloud & DevOps
Expertise in designing cloud-native architectures on AWS/GCP using Lambda, ECS, and Cloud Run with Terraform IaC. Implementation of CI/CD pipelines with Jenkins, Docker, and Kubernetes for containerized applications.
Database Management
Implementation of database sharding and advanced indexing strategies in PostgreSQL. Experience with Redis caching, MongoDB for NoSQL data, and optimizing GraphQL backend systems.
Microservices Architecture
Design of high-performance RESTful APIs using Node.js/Express and gRPC/Protobuf within microservices architecture. Migration from monolithic to microservices-based architecture for improved system performance.
Security & Performance Optimization
Implementation of DDoS attack mitigation through automated traffic monitoring. Experience with optimistic locking, AWS SQS for message queues, and Triton Inference Server to reduce ML serving latency.
Data Integration & Analytics
Development of RAG pipelines with vector databases (Pinecone/Weaviate) and hybrid search, improving knowledge retrieval accuracy. Integration of predictive analytics and automated customer support chatbots.
Experience
Professional experience5 - 10 years
Freelancer since2025
Languages
EnglishNative speakerSwedishNative speaker
Project history
Led development of a B2B SaaS platform, creating an MVP within 8 months. Integrated AI-driven features like predictive analytics and automated customer support chatbots. Built conversational recommendation agents using fine-tuned Llama 2 with RAG over vector DBs. Implemented QMIX and MADDPG algorithms with custom reward shaping for cooperative agents.
Built collaborative filtering models using Apache Spark MLlib. Prototyped chatbots using NLTK, spaCy, and Elasticsearch. Led migration from monolithic to microservices architecture. Optimized backend services with Redis caching and Apache Kafka for analytics. Leveraged cloud-native AI services (Google AI Platform) for ML model deployment.
Architected backend services for high-traffic learning platform using Node.js and Express.js with TypeScript. Implemented CI/CD pipelines using Jenkins and GitHub Actions. Deployed microservices with Docker and Kubernetes. Led migration to AWS, reducing operational costs by 30%.