
Ridwan A
ML Engineer for Self Hosted LLM and RAG Systems
Competenze

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Esperienza lavorativa
Data Analyst
Sberbank • Full time
May 2026 - Aug 2026 • 3 mos
Analysed ~87,000 software-release comments across the bank’s top five business blocks to rank the root causes of test failures. Built a two-stage NLP pipeline pairing a locally hosted LLM (Qwen) with a transparent rule engine, reaching 96–99% agreement with hand-labelled ground truth. Ran entirely on-premises with zero external API calls.
Machine Learning Intern
VK
Jun 2025 - Aug 2025 • 2 mos
Built a gender-prediction model for ad personalisation end to end: feature engineering from 750,000+ user behaviour records, through training (Random Forest, 81.7% accuracy, 0.887 AUC), to production scoring of 75,000+ users.
Machine Learning Engineer
VarsityScape • Full time
Oct 2022 - May 2024 • 1 yr 7 mos
Led development of ScapeAI, an LLM-powered course-creation platform built on RAG pipelines. Deployed models on Google Cloud behind FastAPI REST endpoints, documented for the frontend and backend engineers integrating against them, and built the production pipeline with automated drift monitoring. Worked with prospective customers from first call to close: discovery, demos, scoping, and onboarding new clients onto the platform once they signed.