Hakan A.-Senior Software Engineer — AI Evaluation & Benchmarks | Python, Machine Learning, LLM Evaluation
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Experience
Senior Software Engineer — AI Evaluation & Benchmarks
Diversido
- Provided technical leadership for a 4-engineer team delivering 3 major client platforms in 12 months with microservices architecture and scalability solutions — 100% of scoped majors shipped ahead of schedule vs. planned milestones (baseline: prior releases often slipped 1–2 sprints).
- Ran AI model evaluation and model outputs evaluation on LLM/AI vendor APIs: safety, completeness, instruction adherence, and groundedness review before go-live; cut escaped bad outputs in AI-integrated release checklists from recurring UAT findings to near-zero on final promote.
- Drove API development and performance optimization for payment, exchange, and AI services; fail-closed error handling and payload validation reduced integration rework cycles by ~35% vs. the first AI integration pass.
- Applied software testing, testing frameworks, code quality assurance, and code refactoring with continuous integration gates; first-pass PR acceptance improved across the team and production hotfixes on AI adapters dropped noticeably after review standards landed.
- Owned DevOps practices: Docker, GitHub Actions, Jenkins-compatible pipelines, and version control workflows — cut deployment time ~50% vs. pre-automation baseline and stabilized releases across 3 client environments.
- Implemented verifier/oracle-style pass-fail checks in container sandboxes (Harbor/Terminal-Bench aligned); wrote technical documentation so failures cleared in one review cycle.
- Led cross-functional collaboration with product and client stakeholders; translated AI evaluation scores and risk findings into plain-language briefs for non-technical partners, unblocking go/no-go decisions without extra engineering meetings.
- Used agile methodologies for sprint planning and backlog ownership; mentored engineers so mid-level contributors owned AI adapter modules independently by mid-engagement.
Python Backend & Trading Systems Engineer
Lanware Solutions
- Built a Python trading platform in ~8 months (FastAPI API development, PostgreSQL, Redis, WebSockets, Docker, ib_insync/Interactive Brokers) with operator UI emphasizing user experience design for desk workflows.
- Designed decision algorithms and data structures for 1-entry/multi-exit rules, allocation, and risk-gated previews; benchmarking each rule against gold expected behavior before desk go-live.
- Performance optimization via Redis caching and batched WebSockets cut redundant broker/UI traffic and kept live charts responsive under market load vs. the unbatched prototype (~2–3× fewer UI update bursts in load checks).
- Shipped 6 risk controls (Stop-Loss, Hard-Stop, max distance, TIF, Emergency Stop, daily-loss kill switch) with verification notes — zero silent bypasses on kill-switch/hard-stop paths in QA vs. incomplete coverage in early builds.
- Hardened error handling, JWT authentication, rate limiting, and security best practices across the broker boundary; reconnect QA restored sessions without manual flat-and-rebuild.
- Delivered P&L reports, fills logs, CSV export, and data visualization-ready exports plus technical documentation so ops audited 100% of a trading day’s fills from logs.
- Applied software testing and debugging techniques to order-state machine edge cases — same discipline as coding-agent/terminal-benchmark scoring.
- Used version control and continuous integration for Dockerized releases; cross-functional collaboration with trading operators to validate UX and risk rules before production.
AI Software Engineer
Fujitsu General America, Inc.
- Led machine learning and AI model evaluation for generative systems in Python: GPT-3.5, LangChain RAG (Weaviate/Pinecone), FastAPI on AWS cloud computing, CLIP/BLIP-2 multimodal search; LLaMA 2/Mistral 7B benchmarking vs. GPT-3.5 baselines in late 2023.
- Executed model outputs evaluation and groundedness review (accuracy, tone, instruction following, hallucination); published failure-mode benchmarks for later model drops.
- Built data pipeline design and vision models (YOLOv5, Faster R-CNN, OCR; PyTorch/TensorFlow): cut manual inspection ~41% and improved labeling accuracy ~22% after annotation QA vs. pre-cleanup baseline.
- Raised semantic segmentation IoU by +0.3 with self-supervised learning; continuous data analysis of mistakes fed retraining loops.
- Served Flask/Docker APIs into hospital inventory; explained model KPIs and risk tradeoffs to clinical/ops stakeholders in non-technical language for adoption decisions.
- Applied DevOps practices, API development, and scalability solutions so quality was measured on live workflows, not notebooks only.
Senior Full Stack & Mobile Developer
Achievion Solutions
- Delivered full-stack software development across web, iOS, and Android (React, Node.js, ASP.NET Core, MongoDB/SQL, React Native) for concurrent client products under agile methodologies.
- Owned API development, authentication, and microservices-style backends; query/schema work improved responsiveness on data-intensive screens vs. pre-optimization baselines in QA.
- Introduced Docker, GitHub Actions continuous integration, and version control release discipline — cut manual deployment steps to a single pipeline run and reduced release prep time by ~40% vs. prior checklist deploys.
- Mentored junior engineers with code quality assurance reviews; mentees reached independent feature ownership within 1–2 quarters, raising team throughput without extra headcount.
- Partnered in cross-functional collaboration with product and design; translated technical constraints into clear options for non-engineering stakeholders.
Full Stack & ML Engineer
STX Next
- Python machine learning: VR gaze tracking improved accuracy ~15%; owned dataset pipelines and AI model evaluation loops.
- Forecasting (LSTM/Prophet/ARIMA) via data pipeline design/ETL: precision ~34%, waste ~20% vs. prior baseline; dashboard data visualization for ops.
- CNN/RNN research delivered ~10–15% gains; standardized model outputs evaluation (evaluate → document → retrain).
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Healthcare, and Banking and Finance.
Business area experience
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Experienced in Information Technology, Product Development, Quality Assurance, Business Intelligence, Research and Development, and Operations.
Summary
Senior Software Engineer — AI Evaluation & Benchmarks with 8+ years in software development. Started in full-stack delivery; now focused on Python machine learning, AI model evaluation, model outputs evaluation, groundedness review, benchmarking, RAG, and production model serving. Builds API development in Python/FastAPI; applies performance optimization, software testing, testing frameworks, code quality assurance, continuous integration, and version control. Ships with DevOps practices (Docker, GitHub Actions, Jenkins, cloud computing on AWS), data pipeline design, algorithm design, data structures, data analysis, scalability solutions, and microservices architecture. Provides technical leadership, cross-functional collaboration, and translates evaluation results for non-technical stakeholders. Experienced with Harbor/Terminal-Bench agent evaluation, verifier/oracle-style pass-fail checks, and agile methodologies.
Skills
- Python Ai/Ml: Python, Fastapi, Flask, Pytorch/Tensorflow, Numpy, Pandas, Scikit-Learn, Langchain, Pinecone, Weaviate, Gpt-3.5, Llama 2, Mistral 7b, Clip, Blip-2, Yolov5, Faster R-Cnn, Ocr, Lstm/Prophet/Arima, Machine Learning, Data Analysis, Data Visualization, Data Structures, Algorithm Design
- Ai Evaluation & Benchmarks: Ai Model Evaluation, Model Outputs Evaluation, Groundedness Review, Benchmarking, Prompt Engineering, Human-In-The-Loop Checks, Preference Ranking, Rubric Scoring, Annotation Qa, Harbor/Terminal-Bench, Verifier/Oracle-Style Pass-Fail Checks
- Quality, Devops & Cloud: Software Testing, Testing Frameworks, Code Quality Assurance, Code Refactoring, Error Handling, Debugging Techniques, Continuous Integration, Version Control (Git), Docker, Github Actions, Jenkins, Ci/Cd, Devops Practices, Aws Cloud Computing, Security Best Practices, Ansible-Friendly Automation Patterns
- Apis & Architecture: Api Development, Data Pipeline Design, Etl, Microservices Architecture, Scalability Solutions, Postgresql, Mongodb, Redis, Rest/Graphql, Websockets
- Delivery: Technical Leadership, Cross-Functional Collaboration, Agile Methodologies, Technical Documentation, User Experience Design (Operator/Data Uis), Software Development
Languages
Education
Hochschule Furtwangen University
M.S. · Computer Science · Germany
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Experience
Expertise
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Profile
Frequently asked questions
Have questions? Find more information here.
Hakan is based in Villingen-Schwenningen, Germany.
Hakan speaks the following languages: German (Native), English (Advanced).
Hakan has at least 7 years of experience. During this time, Hakan has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 1 year and 4 months. Note that Hakan may not have shared all experience and actually has more experience.
Based on recent experience, Hakan would be well-suited for roles such as: Senior Software Engineer — AI Evaluation & Benchmarks, Python Backend & Trading Systems Engineer, AI Software Engineer.
Hakan's most recent position is Senior Software Engineer — AI Evaluation & Benchmarks at Diversido.
In recent years, Hakan has worked for Diversido, Lanware Solutions, Fujitsu General America, and Inc..
Hakan is most experienced in industries like Information Technology, Healthcare, and Banking and Finance.
Hakan is most experienced in business areas like Information Technology, Product Development, and Quality Assurance. Hakan also has some experience in Business Intelligence, Research and Development, and Operations.
Hakan has recently worked in industries like Information Technology, Healthcare, and Banking and Finance.
Hakan has recently worked in business areas like Information Technology, Product Development, and Quality Assurance.
Hakan holds a Master in Computer Science from Hochschule Furtwangen University.
Hakan is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 15 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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