Summary
Alexander Pozharskii is a Python and LLM solutions developer with 11 years of experience building NLP and ML systems, currently designing LLM-powered HR services and conversational data-collection chatbots at EVA.AI. He has a strong research-to-production track record using PyTorch, TensorFlow and classic ML tools to deliver high-precision product classification, attribute matching and duplicate detection systems that materially improved cross-publishing efficiency. Previously he led prototypes leveraging GPT-4 for SEC-data QA and anomaly detection, and has hands-on experience with Rasa, spaCy and large-scale data cleaning (tens of millions of product records). Based in Yerevan, he blends deep NLP research instincts with pragmatic API and engineering skills to turn unstructured text into structured, business-ready solutions. Unexpectedly, he pairs academic rigor with business-oriented metric design—optimizing models not just for accuracy but for practical value in production settings.
11 years of coding experience
4 years of employment as a software developer
bachelor of science, Computer Science, bachelor of science, Computer Science at Chuvash State University
Русский, Английский