Alibekov Abilmansur

Selected for a competitive fellowship focused on building real-world pipelines and backend services. Building skills in ETL/ELT ,event streaming , and orchestration using Kafka, Airow, PostgreSQL, Python . Practicing engineering habits important for startups: fast iteration, reliability, clean interfaces, and documentation. Exploring integration of LLM/RAG components into backend systems for product-like features (search/Q&A).

Developed ML models for classification, prediction, and text analytics. Built AI chatbots and semantic retrieval systems using embeddings and vector search. Designed data cleaning, feature engineering, and visualization workflows; implemented automation scripts for data extraction, parsing, and transformation.

Designed and built a real-time analytics pipeline using Kafka, Airflow, PostgreSQL, and FastAPI. Implemented data ingestion, transformation logic, warehouse loading, and REST API endpoints for dashboards.