Fredrik Åhman-Senior AI Software Engineer | LLM Evaluation Specialist
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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
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Experienced in Information Technology, Banking and Finance, and Healthcare.
Business Area Experience
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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
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