
Daniil Makeev
@wyddy7
I build reliable production LLM agents, automated evaluations, and resilient AI pipelines.
What I'm looking for
At hao.vc, I rebuilt an AI video-generation pipeline that cut production time from about 60 to 10 minutes and cost from about $2 to $0.80 per video. The system shipped 100+ fully AI-generated clips and helped project channels collect about 800K views.
I build LLM systems that can run unattended in production, including retries, fallback assets, media validation, typed recovery, automated evaluations, and repair of malformed model outputs. I also published Browd, a browser AI agent with human-in-the-loop permissions, six failure-recovery classes, an LLM-as-judge evaluation harness, and 218 automated tests.
I've also delivered a FastAPI and PostgreSQL interview-scheduling service for about 700 students, set up its CI/CD and deployment workflow, and built Python data automation that saved an estimated 8–12 hours of manual work each week.
Experience
Work history, roles, and key accomplishments
Senior Applied AI Engineer
Hao.vc
Jan 2025 - Present (1 year 9 months)
Wrote the generation engine of a production AI video platform; with the team moved it onto Prefect: turnaround 6x (~60 to ~10 min), cost -60% ($2.00 to $0.80). Redesigned the agent architecture of an open-source browser agent (LangGraph.js, Chrome MV3) with LLM-as-a-judge evals. Built contact-memory RAG over pgvector (DB calls 3,701 to 22) and a Telegram Mini App (FastAPI) for ~700 students.
Python / Data Automation Engineer
Zenith-Electro
Jun 2023 - Dec 2024 (1 year 6 months)
Designed and maintained Python and SQL data-automation pipelines for catalog import/export, data validation, normalization, and internal operational workflows, saving non-engineering teams an estimated ~8–12 manual work hours per week. Built the backend and ETL data foundation for later applied AI and retrieval integration.
Software Engineer (Backend)
EPAM Systems
Oct 2021 - Jun 2023 (1 year 8 months)
Designed and maintained scalable REST microservices with FastAPI, PostgreSQL, and asyncio for enterprise workloads, optimizing SQL queries and indexes for high concurrency. Built asynchronous data-processing pipelines. Contributed to classical NLP workflows using Python, spaCy, and transformers/BERT. Maintained CI/CD pipelines with Docker, GitHub Actions, and pytest
Education
Degrees, certifications, and relevant coursework
Bauman State Technical University
Bachelor's Degree, Computer Engineering / Computer Systems
Grade: N/A
Activities and societies: N/A
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
wyddy.techPortfolio
wyddy.techJob categories
Skills
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