AI engineer

На данный момент ML engineer.

Мои компетенции и опыт

Vladimir Golovachev

Machine Learning Engineer (AI / LLMs / Backend ML)
Yerevan, Armenia • нужен доступ к резюме • нужен доступ к резюме

Summary

Machine Learning Engineer with 6+ years of experience delivering production-grade ML and backend systems. Strong focus on LLMs, agent workflows, RAG, FastAPI services, vector databases, and high-load ML-powered applications. Built recommendation systems, retrieval pipelines, NLP/LLM solutions, and semantic AI services for large international companies. 

Core Skills

ML & AI: LLMs, RAG, embeddings, semantic search, text classification, transformers, RL
Backend Engineering: FastAPI, asyncio, typing, pytest, CI/CD, Docker
LLM Ecosystem: LangChain, vector DBs (FAISS, Chroma, Pinecone-like), OpenAI / Claude / Gemini APIs
Data & Infra: Airflow, SQL/NoSQL, distributed pipelines, A/B testing
Languages & Tools: Python, PyTorch, TensorFlow, NumPy, pandas, scikit-learn, git, Linux

Experience

ShowHeroes GmbH — Senior Data Scientist

June 2021 – Present (4+ years), Remote

Leading development of LLM-based and ML backend services.

Built a production LLM-based AI sales agent (LangChain, embeddings, vector DB, RAG) used for customer interaction and product selection.

Designed end-to-end semantic extraction and NLP pipelines processing millions of documents and videos.

Created a text classifier assigning IAB categories to webpages; deployed as a scalable API service.

Built a pipeline using Gemma LLM to infer demographic attributes (gender, income, age) of audiences.

Implemented a fast recommendation service with failover logic for cold-start mitigation (8% revenue uplift).

Developed a reinforcement-learning–based exploration optimizer (+1.5% revenue).

Productionized ML pipelines using Docker, Airflow, vector DBs, transformers.

Hands-on with profiling, optimizing, and monitoring ML microservices.

Tech stack: Python, FastAPI, asyncio, LangChain, embeddings, vector DBs, Docker, Airflow, Transformers, PyTorch, SQL, Druid, Vertica.

Huawei — Senior Research Engineer (Deep Learning)

2020 – 2021

Designed custom DL architectures, layers, blocks, and loss functions.

Implemented multi-GPU training pipelines (8× speedup).

Optimized model code, memory usage, and training performance.

Built production-ready training scripts and ML tooling.

Center2M — Senior Data Analyst / ML Engineer

2019 – 2020

Built CV and video-analysis pipelines using TensorFlow & classical CV tools.

Deployed ML models in Docker as backend services.

Other Experience

Your additional roles (Neural University, Network Trade, Symanitron) demonstrate mentoring, engineering leadership, and ML versatility.

Education

Master’s Degree

Courses & Certifications

AWS Machine Learning Specialty нужен доступ к резюме

Deep Learning Specialization (Andrew Ng)

Introduction to Deep Learning (with honors)

Stanford Machine Learning

Fundamentals of Digital Image & Video Processing

Kaggle competition courses (with honors)