
Mert Sırakaya
Applied AI Engineer | Python | FastAPI
Get in touch | Istanbul, Türkiye | contact@tomris.dev
§ fswair | ï mert-sirakaya | tomris.dev | 3 swair | Å edulayer
Intro
Applied AI Engineer and Python Developer specializing in collaborative open-source de-
velopment and the design of production-grade agentic systems. I build reliable agents using Py-
dantic AI, contributing to the core project through cross-functional collaboration and upstream
PRs. My work emphasizes problem solving via AI observability (Logfire), rigorous evaluation,
and structured documentation. Committed to knowledge sharing, I produce technical deep-dives
in C++ and Python for the developer community.
Current Focus
I bridge the gap between LLMs and production by integrating automated AI evaluations into TDD
workflows as a first-class testing mechanism. In my framework, I engineered runtime recovery and self-
healing capabilities, allowing tools to self-correct via context-aware retries and dynamic dependency
injection. I specialize in agent systems driven by evaluation and runtime reliability. Parallel to
this, I apply advanced prompt optimization techniques using DSPy/GEPA. My focus remains on
advancing the agent runtime infrastructure for fully production-ready systems.
Experience
Python Engineer Jun 2022 – Present
Contract Remote
Managed the full software development lifecycle (SDLC), translating complex client requirements
into scalable Python automation and Web3 solutions. Architected a high-concurrency production Web3
API used by 250+ clients, handling 2M+ edge requests with FastAPI. Optimized endpoints to maintain
400ms latency and 99.2% uptime under heavy load. Built robust ETL pipelines for data aggregation
and developed asynchronous Telegram bots, ensuring high availability through proactive troubleshooting
and optimization. Utilized custom ORM tools (MentoDB) to streamline database interactions.
Projects
VOWEL (3k+ Downloads) | Nov 2025 – Present
Built declarative YAML specification language and framework for testing and evaluating Python
functions with AI-powered eval spec auto-generation. Supports pytest patterns such as fixtures and
parametrization. Generating and running AI-generated evaluations took under eight seconds and costs
about half a cent per function.
pypi.org/project/vowel
VenusAI (4.5k Downloads) | May 2025 – Present
Developing an extended Pydantic AI fork focused on building more capable AI agents — adding dynamic
tool management, error-safe and self-healing tool execution, sandboxed execution, multi-backend caching, and
seamless MCP integration. Designed comprehensive documentation to support developer adoption.
pypi.org/project/venai
MentoDB (5k+ Downloads) | Jun 2022
Built an ORM mount for SQL engines that supports various output formats, including Pandas DataFrames
and JSON-based structures. Provides Pydantic integration and allows direct access to raw SQL connec-
tions. Used in freelance client projects for local database integrations.
pypi.org/project/mentodb
1