Welcome aboard my GitHub time machine! 🕰️✨ Settle in, and let me give you a tour of my code journey. Grab some ☕️ and enjoy the ride!

This is where it all began...

• 🖥️ My first computer
• 👨‍💻 My first line of code and repository
• 🐛 My first bug
• 💾 First commit & pull request
• 🎓 First bachelor's degree in Software Engineering from Kharkiv National University of Radio Electronics

I've made my way here for an upgrade!

• 🎓 Earned my Master's in Computer Science (Data Science concentration) at Fordham University — 4.0/4.0 GPA. Thesis: "Context Attribution To Attain Generalizability in Non-fine-tuned Transformer...", advised by Dr. Ruhul Amin.
• 💼 Now working as a Senior Applied Machine Learning Engineer at Labelbox (remote), building on prior roles as a Generative AI & Machine Learning Engineer at adMarketplace and a Graduate Researcher at Fordham.

My GitHub captures milestones, learnings, and challenges. It's more than code; it's a snapshot of my journey. 🚀

• 🏆 2019: Before the code got serious, there were competitions - Social Media Award at the International Startup World Cup (Denmark) with the sign-language translation app "Sounce", 1st place at an AI Hackathon at NURE's Scientific Park "Synergy" (plus a solo trip to Turkey for best presentation 🇹🇷), and a Microsoft Student Partners Ukraine hackathon win with a fake/spam Instagram detector - inst_custom_api.

• 📅 2019: My first end-to-end project with UI/UX, backend, algorithms, and visualizations - bstree-tango.

• 🕰️ Pandemic Era (2020): Developed a PWA to help me (and others) keep track of sporadic online classes in Spain - pwa-timetable.

• 📅 2021: Bachelor's thesis (High Honors, 97.74/100) representing a smart drone system for road quality assurance - rdrone (frontend).

  • Research paper on fine-tuning transformers for Ukrainian Language news-contest

• 📅 2022: Dive into my research projects - q-learning & semi-supervised-regression.

  • And me having fun training LLM on my telegram chats with a mix of anecdotes and math tasks 👀 llm-friend-bot

• 🔐 Crypto Projects (2023): Current explorations include crypto-news & crypto-trading.

• 🔬 Research aspirations (2023-2024): My research focus currently falls on explainable and interpretable Language Models, including LLMs

  • Nano-BERT & space-model, the latter earning a Best Paper Award, a Spotlight at AGI Leap Summit 2024, and People's Choice at Fordham-GSAS's 2024 Three Minute Thesis Competition 🏆
  • CAM-BERT Context Attribution Language Model Fine-tuning Framework & CAM-Explain Context Attribution explanation benchmarking

• 🛠️ Building from scratch (2024-2025): Went down the "reimplement it yourself" rabbit hole - nanotorch, a from-scratch PyTorch reimplementation covering autograd, attention, LoRA, and quantization.

  • Also shipped a full-stack Warehouse Management System (Django + Vue + Kotlin + Raspberry Pi IoT) and a Go CLI for chatting with Bing Chat - go-EdgeGPT.

• 🤖 NeurIPS 2025: Co-authored the Labelbox Research team's reflections on the conference - "Reflections on NeurIPS 2025: Advancing Evaluation and Continual Learning in AI".

• Multimodal News Source Classification with NLP Transformers (2022) [ICTERI, Code]
• Space Model Framework for Conceptual Modelling in NLP (2023) [AAAI, ArXiv, Code]
  • 🎉 Best paper award
  • 🌟 Spotlight Presentation, AGI Leap Summit 2024
  • 🥇 People's Choice, Fordham-GSAS Three Minute Thesis (3MT) Competition 2024
• Transformer Context Attribution for Fake News Detection (2024) [ICLR, ArXiv, Code]

Deep Learning & Natural Language Processing (NLP) have captivated my heart and mind. The potential in these branches of machine learning is vast, and I'm all in!

• Languages: Python, GoLang, C++, SQL
• Technologies: Databricks, PySpark, Hive, PyTorch, Tensorflow, PostgreSQL, NoSQL (Redis, Mongo)
• Tools: gRPC, REST, Docker, Terraform, Bash, AWS, Google Cloud

I bring nearly 2 years of experience in the crypto sphere, working as a backend developer, primarily with GoLang. I then transitioned into the CRM domain for a year, giving me a robust understanding of micro-service architectures. While I've delved into multiple languages professionally, Python remains my true love ❤️. The highlight of Summer 2023? My ML/DS internship with the Volvo Group. That was followed by a stretch as a Graduate Researcher at Fordham (alongside my Master's), then a role as a Generative AI & Machine Learning Engineer at adMarketplace. These days, I'm working on inspiring NLP and LLM projects as a Senior Applied Machine Learning Engineer at Labelbox.

I'd love to connect, collaborate, or just chat. 💌 Reach out if you're as passionate about tech and innovation as I am!