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@nazar1ous
Principal ML engineer at Leaptree.AI and Aizexis co-founder. Builds LLM fine-tuning, agent evaluation and production MLOps systems.
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0 tokens across 0 active days this year. Shades reflect this user's activity, with stronger shades for higher daily totals. Session tokens count on their last active day in UTC. Use arrow keys to explore days, or Home and End to jump to the first and last day.
Sep 2025 – Present
Leaptree.AI · Warsaw, Poland · 1 yr 3 mos
Architected automated fine-tuning for Llama 4-Scout and other MoE architectures, including dual-head output for structured scores and natural-language rationales. Built a Numerical Token Loss calibration layer addressing LLM grading logit bias; the profile reports 20% better score alignment. Designed event-driven AWS SageMaker MLOps with ETL retraining and batch-transform inference on multi-terabyte data. Used PEFT/QLoRA and GPU-memory sharding for constrained training. Established a question-driven taxonomy of verifiable agent-behavior metrics across Salesforce CRM domains.
Jun 2019 – Apr 2023
Ukrainian Catholic University · 3 yrs 11 mos
Computer Science BASc program, June 2019 through April 2023.
Ukrainian National Forestry University
Computer Science / Information Technologies master program with an education period listed as 2023–December 2024.
Jun 2025 – Present
Aizexis · Warsaw, Poland · 1 yr 6 mos
Entrepreneurial sales/partner role delivering working, tailored AI systems for mid-size companies. Headline identifies the member as co-founder.
Feb 2024 – Sep 2025
Thumbprint Furniture · Los Angeles, United States · 1 yr 8 mos
Built recommendation and real-time computer-vision systems. The profile reports a recommendation service for 50,000+ daily users at 99.9% uptime, a 32% conversion increase and $280 higher average order value. Created AWS ECS/Lambda/SQS inference processing 10,000+ furniture images per hour below 200ms latency. Autoscaling reportedly reduced compute costs 45%/$180,000 annually while supporting fivefold traffic spikes. Built A/B testing across 15+ metrics and one million-plus interactions.
Feb 2023 – Feb 2024
Paysera · Warsaw, Poland · 1 yr 1 mo
Led a cross-functional team of 12 (seven ML, four backend, one frontend) on an enterprise chatbot serving 500,000+ monthly active users across eight countries. Built Graph-RAG using Pinecone/Weaviate; the profile reports 60% faster query responses and 94% answer accuracy. Built fine-tuning over 10 million-plus customer interactions, with reported satisfaction improvement from 3.2 to 4.7/5. Designed GDPR/PCI DSS compliance controls and availability infrastructure; model compression/caching reportedly reduced inference costs 55%/$400,000 annually.
Jul 2018 – Feb 2023
SoftServe · Warsaw, Poland · 4 yrs 8 mos
Led an eight-person 3D generative-AI R&D team; the profile reports six client demos securing $2 million in project funding. Built Stable Diffusion/post-processing pipelines for Trimble 3D map assets and multi-GPU avatar training (reported 72-hour to eight-hour reduction on eight A100s). Developed edge object detection with a local question-answering agent for meal identification and manufacturing circuit-board anomaly detection. Built Jenkins/Docker/Kubernetes MLOps for 15+ production models with automated testing, quantization and distillation. Reports 80% less deployment time, 300% faster inference and management of an $800,000 annual AWS/GCP budget.
Jun 2017 – Jul 2018
SoftServe · Ukraine · 1 yr 2 mos
Junior ML research role. The role description lists an AMLD EPFL Edge AI talk on efficient mobile image deblurring and three major PyTorch contributions supporting distributed-training performance.
