Frederik Gram Kortegaard /
Resume
frederikgramkortegaard@gmail.com |
github |
linkedin
Skills
Languages: Python C/C++ Go Rust SQL (PostgreSQL) NoSQL (MongoDB)
Frameworks: FastAPI Flask TaskIQ NATS Celery RabbitMQ PyTorch TensorFlow
Tools: Git Docker Kubernetes Azure AWS Terraform Prometheus Grafana Linux
Work Experience
Senior Software Engineer - Intree 2025 - present
Fractional CTO - IHairium January 2025 - present
- Hired to lead a targeted effort transitioning the platform from B2C to B2B, building scalable AI infrastructure and multi-tenant support.
- Extended Java 17+ Spring Boot backend to support multi-tenant B2B functionality, allowing partners to define custom diagnostic flows, recommend their products, and collect per-tenant metrics.
- Built scalable Python microservices (Flask, Docker, AWS EC2) replacing the legacy diagnostics engine, delivering low-latency inference services, complete with CI/CD and full test coverage.
- Built an AWS SQS-based producer-consumer queue to scale AI services horizontally and improve fault tolerance. Reduced inference latency by 40% through thread pooling, bottleneck profiling, memory optimization, and runtime upgrades.
- Managed a cross-functional team of three engineers across iOS, frontend, and backend, overseeing Agile workflows including sprint planning, task estimation, and code reviews.
- Coordinated with external AI developers: validating results, writing delivery specifications, generating reports, and integrating their AI models into the platform.
Software Engineer - Seculyze June 2024 - June 2025
- Reduced response times by 88% on high-load FastAPI endpoints through PostgreSQL query optimization, payload minimization, caching, and asynchronous task offloading with Celery.
- Built a fully automated MLOps pipeline in collaboration with AI specialists to deploy multi-tenant inference models on Azure Kubernetes, integrating canary and blue-green rollouts with build-metadata for traceability, and automating model warehousing in blob storage.
- Engineered a configurable ETL system and built a rule-based sanitation engine, converting raw security logs into compliance-aligned datasets (GDPR, NIS-2) for LLM-powered batch inference and structured audit reporting.
- Managed dozens of production rollouts across customer environments, managing infrastructure and schema migrations with Alembic, Docker, and Kubernetes; integrated CI/CD pipelines with PyTest coverage enforcement.
Freelance Software Engineer - Invoke
- Developed and launched a cross-platform Flutter app for a marketing client in 3 weeks, achieving 1,500+ downloads in the first week and generating 500k+ social media impressions.
- Developed a Python/FastAPI WhatsApp bot with Recruitee and WhatsApp Cloud API integrations to automate post-sales surveys, enabling cross-department analytics, survey completion rates, question drop-offs, and engagement trends.
- Developed JavaScript/Vue.js websites for half a dozen companies, integrating with CRM systems, booking systems, and third-party APIs.
Software Engineering Intern - Universal Robots February 2020 - August 2020
- Developed kernel-level and embedded systems in C/C++ for robotics platforms, contributing domain knowledge to support predictive model feature engineering using PyTorch.
Technical Consultant - Findwise A/B January 2019 - January 2020
- Created a Python microservice for GDPR-compliant data sanitation, processing 130M+ emails with automated testing and CI/CD pipeline.
Projects
Iris: Optimizing Compiler in Rust GitHub
- Multi-stage IR pipeline (HIR -> MIR -> LIR) with CFG analysis, dominator trees, dominance frontiers, and SSA construction.
- Optimization passes: constant propagation (SCCP), constant folding, dead code elimination, copy propagation.
- Visitor pattern for traversing and transforming all IR levels. Phi node insertion via iterated dominance frontiers, variable renaming using the standard dominator tree walk algorithm.
Eridu: A C-Like Programming Language GitHub | Thesis
- Developed a C-like statically-typed programming language from scratch in C, supporting first-class functions, abstract data types, and multi-paradigm constructs.
- Built custom code generation system, directly outputting x86-64 AT&T assembly with custom intermediate representation, stack frame management, and memory allocation.
- Built a custom testing framework in Python with a domain-specific language for inline test specification, enabling test-driven development.
August: Bitcoin-Style Blockchain with Smart Contracts GitHub
- Developed a blockchain platform from scratch in Go with SHA-256 proof-of-work consensus, dynamic difficulty adjustment, longest-chain fork resolution, and atomic state transitions.
- Built P2P networking layer with decentralized peer discovery, headers-first chain synchronization, connection pooling with timeout management, and transaction mempool with fee-based priority ordering.
- Created the Marigold smart contract language with compiler pipeline (lexer, parser, type checker) and custom stack-based VM featuring 256-bit arithmetic, gas metering, persistent storage, and blockchain context integration.
Research
Research Scientist - ADIN, University of Southern Denmark September 2023 - June 2024 | GitHub | Thesis
- Developed OrthAdam, a novel Adam optimizer variant that achieved ~2% accuracy improvements compared to state-of-the-art AdamW and AdamP optimizers on CIFAR-100, CIFAR-10, and SVHN datasets across ResNet18, DenseNet121, and ResNeXt50 architectures.
- Created AttentionSplit, a hybrid neural network layer combining recurrence and attention mechanisms for temporal data analysis, achieving marginally better accuracies than state-of-the-art LSTM and Transformer models on Acrobot-v1, CartPole-v1, and MountainCar-v0 environments.
- Conducted comprehensive evaluation across computer vision benchmarks and reinforcement learning environments to validate architectural innovations.
Education
Master of Science in Computer Science University of Southern Denmark, 2022 - 2024
Microservices & Dev(Sec)Ops, Software Engineering & Agile, Computer Vision, Artificial Intelligence
Bachelor of Science in Computer Science University of Southern Denmark, 2019 - 2022
Data Mining & Machine Learning, Compiler Construction & Optimization, Database Systems, Generic Programming (C++)
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