Professional Overview
Experienced Machine Learning Engineer with 3 years of expertise in developing and optimizing cutting-edge deep learning models using PyTorch, Pytorch-Lightning, Torchvision and TensorFlow. Skilled in training, fine-tuning, deploying, versining and monitoring of deep neural networks for computer vision and NLP tasks. Strong understanding of ML/DL fundamentals, from statistical methods, CNNs, RNNs to Transformers. Proven ability to collaborate with cross-functional teams, engage with clients, and deliver impactful AI solutions across diverse business domains. Proficient in containerizing pipelines (Docker) and tracking experiments like Neptune, MLFlow and Tensorboard.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
