
MirAziz Seyidov
@mirazizseyidov
AI/ML engineer building Speechive, a live AI interview-practice platform, and a job-search agent with 151 automated tests.
What I'm looking for
At FlyRank AI, I built a content-prioritisation model that ranks client pages by predicted visibility decline. On six held-out clients, its Random Forest model reached precision@50 of 0.68, compared with 0.30 for the rule-based baseline; I also identified data leakage in a random split and reported the client-grouped result.
I built and launched Speechive, a live AI interview-practice platform used by real users. It generates CV-based questions, scores answers, and supports text and live voice interviews.
For my AI Job-Search Agent, I built a hand-written LLM tool-use loop with seven tools, integrated eight job sources, and wrote 151 offline tests. The project uses a two-stage CV-to-job scoring process and can switch between OpenAI and Anthropic.
Through DevJoint’s training programme, I completed four practical projects, including a RAG summarizer and a tool-calling agent. I also contributed to a student project for Milli Majlis of Azerbaijan that checks draft laws against existing law.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
FlyRank AI
Jul 2026 - Sep 2026 (2 months)
Built a content-prioritisation model that ranks client pages by predicted visibility decline and outputs a review queue with reason codes. Trained and compared rule-based baseline, Logistic Regression, and Random Forest on 30,000 anonymised pages from 32 clients, achieving precision@50 of 0.68 on held-out clients.
AI Engineer Intern
DevJoint
Jul 2026 - Aug 2026 (1 month)
Completed a 4-week training programme with four practical projects: LLM-based text summarizer, RAG summarizer, tool-calling agent, and AI output evaluation. Passed verification on all projects.
Education
Degrees, certifications, and relevant coursework
Academy of Public Administration under the President of the Republic of Azerbaijan
Bachelor's Degree, Computer Science
2024 -
Grade: 90+/100
Pursuing a Bachelor's Degree in Computer Science with an expected graduation in 2028. GPA is 90+ out of 100.
Ingress Academy
Training, Data Science & Machine Learning
2025 - 2026
Completed a 7-month Data Science & Machine Learning training program with hands-on Python, NumPy, pandas, and data visualization in Jupyter.
DeepLearning.AI / Stanford Online
Certificate, Machine Learning
Completed the Supervised Machine Learning: Regression and Classification course.
DeepLearning.AI / Stanford Online
Certificate, Machine Learning
Completed the Advanced Learning Algorithms course.
IBM
Certificate, Generative AI
Completed the Generative AI: Introduction and Applications course.
Anthropic Academy
Certificate, AI
Completed 20 courses covering Model Context Protocol, prompt engineering, AI evaluation, tool use, context engineering, Claude Code, and Claude with Amazon Bedrock.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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