Fredrik Å.-Senior AI Software Engineer | LLM Evaluation Specialist
Check rate
Experience
Senior AI Coding Evaluator | Software Engineering Expert
Outlier
- Evaluate AI-generated software solutions to improve the coding capabilities of advanced large language models.
- Review code generated by AI systems across Python, JavaScript, TypeScript, Java, C++, and Rust.
- Analyze software implementations for correctness, readability, maintainability, scalability, security, and adherence to professional engineering practices.
- Create and solve complex software engineering tasks covering debugging, system design, API development, algorithms, databases, testing, and architecture decisions.
- Develop detailed explanations and feedback highlighting coding mistakes, edge cases, performance issues, and better engineering approaches.
- Design realistic programming scenarios that test AI models' ability to understand and solve real-world software engineering problems.
- Evaluate AI responses against defined technical criteria and create high-quality reference solutions.
- Identify failures in AI reasoning including incorrect assumptions, incomplete implementations, security vulnerabilities, and inefficient approaches.
- Provide expert feedback used to improve AI model training datasets and evaluation benchmarks.
- Apply professional software engineering experience from financial, healthcare, and distributed systems environments to assess AI-generated solutions.
Technical Focus: LLM Evaluation, AI Coding Models, Software Engineering Tasks, Code Review, Debugging, Python, JavaScript, TypeScript, C++, Rust
Senior Software Engineer (Full Stack)
Handelsbanken
- Designed and developed Python-based backend systems supporting financial intelligence, analytics, and regulatory technology.
- Built scalable transaction-processing pipelines handling large volumes of financial data.
- Developed Python ETL workflows for data transformation, validation, and analytical processing.
- Created data preparation pipelines supporting fraud detection, anomaly analysis, and risk-management applications.
- Integrated analytical models into production enterprise systems.
- Designed high-performance APIs and backend services using Python and Node.js.
- Implemented asynchronous processing architectures using event-driven technologies including Apache Kafka.
- Optimized database queries, processing workflows, and system performance.
- Built automated infrastructure tooling reducing operational overhead.
- Developed monitoring and debugging systems for production environments.
- Improved engineering reliability through testing automation and CI/CD improvements.
AI & Data Engineering Contributions:
- Prepared structured datasets for analytical and machine-learning workflows.
- Built reliable pipelines supporting intelligent decision systems.
- Worked with data-focused teams to productionize analytical capabilities.
Technologies: Python, FastAPI, Node.js, TypeScript, Kafka, Elasticsearch, PostgreSQL, AWS, Kubernetes
Full Stack Engineer
Q.ai - a Forbes company
- Developed scalable enterprise applications using Python, JavaScript, React, Node.js, and SQL databases.
- Designed backend services supporting healthcare data management and integration workflows.
- Built Python automation pipelines for extracting, transforming, and validating enterprise data.
- Developed reporting and analytics systems processing complex healthcare information.
- Created search infrastructure using Elasticsearch for large-scale information retrieval.
- Improved application performance through database optimization and backend architecture improvements.
- Designed secure APIs connecting multiple external and internal systems.
- Built real-time notification systems using event-driven architecture.
- Developed automated testing frameworks improving software quality.
Data Engineering Contributions:
- Built reliable data transformation workflows.
- Improved data accessibility through optimized search and indexing.
- Created reusable backend components for enterprise data processing.
Technologies: Python, Node.js, React, SQL, Elasticsearch, REST APIs, Docker, Git
Software Engineer
Podz
- Developed real-time distributed applications handling high-volume operational data.
- Built backend services for monitoring, telemetry processing, and system automation.
- Created Python utilities for log processing, analysis, and operational improvements.
- Designed APIs supporting communication between distributed services.
- Improved system reliability through debugging, testing, and automation.
- Worked with performance-oriented programming concepts and systems-level development, including C/C++ interoperability, memory efficiency considerations, and low-level debugging approaches.
Technical Foundation: Distributed Systems, Backend Engineering, Data Processing, Automation, Reliability Engineering
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Banking and Finance, and Healthcare.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Quality Assurance, Business Intelligence, Research and Development, and Product Development.
Summary
Senior Software Engineer with extensive experience designing, developing, and reviewing production-grade software systems across financial services, healthcare, telecommunications, and enterprise technology environments.
Experienced in full-stack development, backend architecture, distributed systems, Python engineering, cloud platforms, and large-scale data processing. Strong expertise in JavaScript, TypeScript, Python, C++, and Rust with hands-on experience building reliable and maintainable software solutions.
Specialized in Generative AI training workflows, including LLM-generated code evaluation, software engineering task creation, technical response grading, debugging assessment, and creation of expert feedback to improve AI coding models.
Combines deep real-world engineering experience with strong analytical ability to evaluate AI-generated solutions against professional software engineering standards including correctness, scalability, security, performance, and maintainability.
Skills
Software Engineering
- Full-Stack Application Development
- Backend Architecture
- Distributed Systems
- Microservices Architecture
- Api Design & Integration
- Code Review & Quality Assurance
- Debugging & Root Cause Analysis
- Software Testing & Tdd
- Enterprise Application Development
Programming Languages
- Python
- Javascript
- Typescript
- C++
- Rust
- Java
- Sql
Frontend
- React
- Next.Js
- Angular
- Redux
- Tailwind Css
- Shadcn/Ui
- Jest
- Cypress
Databases
- Postgresql
- Mysql
- Mongodb
- Oracle
- Postgis
- Neo4j
Agile & Collaboration
- Scrum
- Safe
- Jira
- Code Reviews
- Git Workflow
- Ci/Cd
- Cross-Functional Collaboration
Data & Ai Engineering
- Python Data Pipelines
- Data Processing Automation
- Nlp Applications
- Search Intelligence
- Machine Learning Model Integration
- Data Quality Evaluation
Ai Training & Evaluation
- Llm Code Evaluation
- Ai-Generated Code Review
- Ai Response Quality Assessment
- Software Engineering Task Creation
- Technical Rubric Development
- Human Feedback For Ai Alignment
- Coding Benchmark Design
Backend
- Node.Js
- Fastapi
- Rest Apis
- Websockets
- Postgresql
- Mysql
- Redis
- Elasticsearch
- Apache Kafka
Cloud & Devops
- Docker
- Github Actions
- Ci/Cd Pipelines
- Kubernetes
- Terraform
- Linux
- Git
Architecture & Messaging
- Event-Driven Architecture
- Apache Kafka
- Distributed Systems
- Api Versioning
Security & Compliance
- Secure Coding Practices
- Oauth 2.0
- Jwt
- Security Clearance Readiness
Languages
Education
KTH Royal Institute of Technology
Bachelor of Science · Engineering Mathematics · Stockholm, Sweden
KTH Royal Institute of Technology
Bachelor's Degree · Computer Science · Stockholm, Sweden
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Fredrik is based in Huddinge, Sweden and prefers 100% remote projects.
Fredrik speaks the following languages: Swedish (Native), English (Advanced).
Fredrik has at least 8 years of experience. During this time, Fredrik has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 2 years and 11 months. Note that Fredrik may not have shared all experience and actually has more experience.
Based on recent experience, Fredrik would be well-suited for roles such as: Senior AI Coding Evaluator | Software Engineering Expert, Senior Software Engineer (Full Stack), Full Stack Engineer.
Fredrik's most recent position is Senior AI Coding Evaluator | Software Engineering Expert at Outlier.
In recent years, Fredrik has worked for Outlier, Handelsbanken, and Q.ai - a Forbes company.
Fredrik is most experienced in industries like Information Technology, Banking and Finance, and Healthcare.
Fredrik is most experienced in business areas like Information Technology, Quality Assurance, and Business Intelligence. Fredrik also has some experience in Research and Development and Product Development.
Fredrik has recently worked in industries like Banking and Finance, Information Technology, and Healthcare.
Fredrik has recently worked in business areas like Information Technology, Quality Assurance, and Business Intelligence.
Fredrik holds a Bachelor in Engineering Mathematics from KTH Royal Institute of Technology and a Bachelor in Computer Science from KTH Royal Institute of Technology.
Fredrik is immediately available full-time for suitable projects.
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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