Контактна інформація

Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/16036729/

Досвід роботи

AI engineer

з 08.2022 по нині (4 роки 4 місяці)
Hillside IT Consulting Group, Remote (IT)

- Designed and implemented distributed AI orchestration systems managing multimodal inference (text, image, audio) at petabyte scale.
- Built large language model (LLM) fine-tuning pipelines (LoRA, QLoRA) improving domain accuracy by 42% on enterprise datasets.
- Developed vector-search infrastructure using FAISS + PostgreSQL, powering semantic retrieval for real-time recommendation APIs.
- Optimized model latency by 68% via quantization, mixed precision, and Triton inference serving.
- Automated training and deployment via Kubeflow + MLflow, reducing model-to-production time from weeks to hours.
- Created dynamic prompt-chaining framework for generative AI assistants integrated with internal APIs.
- Managed AI microservices built on FastAPI + gRPC, deployed with Kubernetes and Terraform.
- Introduced event-driven data ingestion using Kafka and Airbyte to unify logs, metrics, and telemetry pipelines.
- Built human-in-the-loop evaluation dashboards for continuous RLHF-style fine-tuning and feedback cycles.
- Partnered with the data team to standardize embeddings across vision and text models.
- Delivered AI monitoring stack with Prometheus and Grafana for real-time model drift tracking.
- Re-architected inference caching layer using Redis streams, cutting cloud inference costs by 28%.
- Integrated AWS SageMaker, ECS, and Lambda for elastic scaling of LLM workloads.
- Led a team of 6 engineers, mentoring on transformer optimization and CUDA debugging.
- Authored internal whitepaper on efficient model parallelism adopted across product teams.
- Drove AI ethics and governance policy, ensuring fairness and compliance.
- Contributed to Rust-based inference runtime to offload CPU-intensive preprocessing tasks.
- Collaborated with leadership to align AI roadmap with product KPIs and revenue targets.
- Oversaw integration of AI SDK used by partner developers across 40+ clients.
- Published open-source internal toolkit “InferKitX” for inference benchmarking.

- Tech Stack: Python, PyTorch, TensorFlow, Rust, FastAPI, gRPC, Kafka, Airbyte, Redis, PostgreSQL, FAISS, Triton, MLflow, Kubeflow, AWS SageMaker, Kubernetes, Terraform, Prometheus, Grafana

AI engineer

з 03.2020 по 08.2022 (2 роки 6 місяців)
Beyondsoft, Remote (IT)

- Led development of production-grade deep learning APIs for recommendation and fraud detection systems.
- Built PyTorch-based training platform supporting multi-GPU distributed training on AWS EC2.
- Deployed models through Dockerized CI/CD pipelines integrating Jenkins and GitHub Actions.
- Designed ETL pipelines using Airflow, processing 10+ TB daily for analytics and model retraining.
- Engineered text-embedding service for multilingual NLP tasks using Sentence-Transformers.
- Delivered real-time anomaly detection models reducing false positives by 35%.
- Developed streaming model inference using Kafka Streams and FastAPI.
- Deployed custom transformer compression reducing memory footprint by 50%.
- Created model versioning system integrating MLflow + PostgreSQL for metadata tracking.
- Enhanced CI/CD observability with ELK stack and Prometheus monitoring.
- Partnered with data engineers on feature-store standardization using Feast.
- Implemented reinforcement learning prototype for pricing and bidding optimization.
- Migrated legacy TensorFlow 1 models to PyTorch 1.9 with 1.3× throughput gain.
- Built interactive model-explainability dashboards with SHAP and Plotly Dash.
- Mentored interns and junior ML engineers in model debugging and architecture review.
- Collaborated cross-functionally with frontend and backend teams for AI feature rollout.
- Automated A/B testing for model evaluation at scale using internal metrics framework.
- Contributed to internal AI Knowledge Base for reproducibility standards.
- Recognized with “Technical Excellence Award 2021” for innovation in ML deployment.

- Tech Stack: Python, PyTorch, TensorFlow, Airflow, MLflow, FastAPI, Kafka Streams, Jenkins, GitHub Actions, ELK Stack, Prometheus, Feast, SHAP, Plotly Dash, Docker, AWS EC2

AI engineer

з 07.2016 по 02.2020 (3 роки 8 місяців)
CNT Management Consulting, Remote (IT)

- Built end-to-end ML workflows for image recognition and predictive analytics solutions.
- Designed RESTful AI microservices powering multiple enterprise applications.
- Developed and deployed CNN-based visual classification models with TensorFlow + Keras.
- Created custom text analytics modules (NER, sentiment, classification) for multilingual datasets.
- Automated model training pipelines via Bash and Python CLI utilities.
- Integrated ML models into .NET-based backend through gRPC and REST endpoints.
- Designed data preprocessing layer for structured/unstructured data ingestion.
- Led migration of legacy analytics scripts to unified PySpark environment.
- Worked with DevOps team to containerize AI workloads using Docker.
- Enhanced model reproducibility with versioned datasets and parameter tracking.
- Deployed models on-premise GPU clusters for local inference acceleration.
- Created performance monitoring scripts for training drift and degradation detection.
- Collaborated with business analysts to translate KPIs into measurable model metrics.
- Developed internal ML utilities library for data wrangling and preprocessing.
- Reduced training data labeling cost by 30% via semi-supervised pipeline.
- Contributed to successful delivery of 12+ AI projects across fintech and telecom domains.

- Tech Stack: Python, TensorFlow, Keras, PySpark, scikit-learn, NumPy, Pandas, gRPC, REST API, Docker, Bash, .NET, PostgreSQL, Linux, Git

Освіта

Kharkiv Technological University "IT STEP"

Computer Science, Lviv
Вища, з 2009 по 2014 (5 років)

Bachelor’s Degree in Computer Science

Додаткова освіта та сертифікати

Немає додаткової освіти та сертифікатів.

Знання і навички

• Communicability
• JavaScript
• HTML
• CSS
• Git
• React
• Node.js
• GitHub
• TypeScript
• MySQL
• SQL
• SASS
• Figma
• PHP
• PostgreSQL
• Bootstrap
• MongoDB
• JQuery
• Redux
• Docker
• Website development on Shopify
• WordPress
• IOS development
• Android Studio
• C#
• C/C++
• Symfony
• Python
• Material UI
• Tailwind CSS
• Vue.js
• Next.js
• Express.js
• Cloudflare
• TypeORM
• Django
• AngularJS
• Docker Compose
• Azure DevOps Server
• Kubernetes
• Kotlin
• REST API
• React Redux
• React Native
• JQuery Mobile
• ASP.NET Core
• Golang
• Shopify CLI
• Blockchain
• CI/CD

Знання мов

• Англійська — вільно
• Українська — вільно

Додаткова інформація

Results-driven Senior AI Engineer with extensive experience designing, deploying, and optimizing large-scale AI and data systems.
Skilled in deep learning, natural language processing, computer vision, and generative model engineering, with a proven record of turning research prototypes into production-ready applications.
Expert in Python, PyTorch, TensorFlow, and modern MLOps workflows using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Adept at building scalable model pipelines, fine-tuning LLMs, and integrating multimodal AI into enterprise environments.
Recognized for strong architectural thinking, data-driven problem solving, and cross-functional leadership that bridges research, product, and engineering teams to deliver measurable business impact.

My expected salary is $1,800–$3,500 per month, but it’s negotiable.

I can start work immediately.
Telegram: @NevaSpark