ML Engineer interested in applied AI roles
ML Engineer focused on LLMs, RAG systems, and productionizing ML with FastAPI, vector DBs, and MLOps. I'm especially interested in NLP and multimodal deep learning, with published research on speech emotion recognition and mental-health risk assessment.
ALLDATA LLP
Sep 2025 — PresentBuild LLM-based agents and RAG pipelines and ship them as production ML services using FastAPI, vector databases (Qdrant), Redis, RabbitMQ, and Docker. Fine-tune and optimize LLMs (including quantization) and own the surrounding ML pipelines and MLOps deployment, monitoring (Prometheus/Grafana), and model serving.
NARXOZ University
Jun 2024 — PresentConduct applied research in multimodal deep learning, building text/audio/video classification pipelines on real patients' clinical data (82% accuracy). Handle data collection, augmentation, and model training, with several peer-reviewed publications and international conference talks.
Automated Communication Solutions
Aug 2023 — Jan 2024Built no-code chatbots and speech-recognition scripts and processed data for neural-network training. Configured business flows and improved conversion from 30% to 70â80%.
Dara Solutions
Jan 2022 — Sep 2022Developed and maintained microservices (Java, Spring, PostgreSQL, Docker) and fixed production issues. Also contributed to frontend development with TypeScript and Angular.
KBTU
2018 — 2022SDU
2022