I enjoy solving complex yet meaningful problems to improve the way people live their lives.
- 🔥 Working on AI, health wearables, and neurotech
- 🎓 AI/ML @ Carnegie Mellon
- 🇺🇦 Ukrainian
| Name | Tech | Links |
|---|---|---|
| [Present] GenAI Data & Model Ops | Python, SQL, data strategies for model pre/post-training and evals | @ Meta Superintelligence (TBD Lab) |
| [2025] Post-Training and Large-Scale Evals of Brain Foundation Models | Python, PyTorch, AWS, MLFlow, Stentrode™ endovascular BCI data, post-training and eval pipelines, neural decoding (cursor and command control) | @ Synchron |
| [2025] MultiDiffNet: A Multi-Objective Diffusion Framework for Generalizable Brain Decoding - Accepted to NeurIPS Workshop 2025 | Diffusion models, EEG decoding, cross-subject generalization | GitHub |
| [2025] Typing Reinvented: Towards Hands-Free Input via sEMG | sEMG-based decoding, gesture-to-key mapping | GitHub |
| [2025] SVeritas: Benchmark for Robust Speaker Verification under Diverse Conditions - Accepted to EMNLP 2025 | Speaker verification, robustness benchmarking, codec/channel mismatch, adversarial attacks, demographic analysis | ArXiv · GitHub |
| [2025] Brain-Controlled ChatGPT - Part of BR41N.IO Spring School 2025 | EEG-based decoding, brain trigger messaging (MQTT), speech recognition (voice input), text-to-speech (pyttsx3), OpenAI API, GUI (Tkinter), async control (threading, queue) | GitHub |
| [2024] Improving SSVEP BCI Spellers with Data Augmentation and Language Models - Accepted to IEEE DSP 2025 | EEG signal processing, data augmentations, EEGNet, language modeling, RNN | ArXiv · GitHub |
| [2024] Decoding EEG Speech Perception with Transformers and VAE-based Data Augmentation | EEG and EMG signal processing, CNN, Transformers, VAE | ArXiv · GitHub |
| [2024] Aligning Brain Signals with Multimodal Speech and Vision Embeddings | EEG and audio data pre-processing, Wav2Vec and CLIP model embeddings, ridge regression, contrastive decoding | ArXiv |
| [2024] CortexType - Typing with Your Mind | Real-time EEG signal processing from g.tec Unicorn EEG device, ML and LLM-based model training and fine-tuning, real-time inference, Python, PyTorch, PhysioLabXR BCIs, Unity XR App, scikit-learn | GitHub |
| [2023-2024] A Penny for Your Thoughts: Decoding Speech from Inexpensive Brain Signals | EEG signal pre-processing, transformer-based models training, Python, PyTorch | ArXiv · GitHub |
| [2024] AI for Human Trafficking Prevention | Images pre-processing, multimodal model training (LLaVA, Qwen-VL-Chat), prompt-engineering, LoRA/QLoRA fine-tuning, Python, PyTorch, scikit-learn | n/a |
| [2024] AI Governance for Neurotech Devices | AI risks assessment of Emotiv MN8 EEG earbuds according to NIST AI Risk Management Framework and EU AI Act | Poster |
| [2024] FMRI Encoding Models for Natural Speech | FMRI brain signal pre-processing, GPT2 word tokenization, ridge regressions, RSA matrices, Python, Pycortex, scikit-learn | GitHub |
| [2024] Brain Encoding Models using Taskonomy | FMRI brain signal and images data pre-processing, task representations w/ visualpriors, RSA and correlation matrices, Python | GitHub |
| [2024] Building and Evaluating AI PolicyChatbot | LLaMA-7B model prompt-engineering, LoRA/QLoRA fine-tuning, Python, PyTorch | GitHub |
| [2024] Stock Price Prediction and GameStop Short Squeeze Analysis | Financial and text data pre-processing, sentiment analysis, time-series forecasting w/ LSTM models, sensitivity analysis, Python, TensorFlow | GitHub |
| [2023] Human-Computer Interaction for Health Tech | User interviews, affinity diagram, stakeholder and customer journey maps, lo-fi and hi-fi prototyping w/ Figma, usability testing | n/a |
| [2023] Attention-based Speech Recognition | Audio data pre-processing, coding CNN- and transformer-based encoder-decoder models from scratch, model training and fine-tuning, Python, PyTorch | n/a |
| [2023] CNN-LSTM Phoneme-level Speech Classifications | Audio data pre-processing, CNN-based feature extraction, coding LSTM/pBLSTM from scratch, CTC loss training, beam search decoding, Python, PyTorch | n/a |
| [2023] Face Classification and Verification w/ CNNs | Images data pre-processing, coding ResNet and ConvNeXt from scratch, contrastive loss training, Python, PyTorch | n/a |
| [2023] Phoneme-level Speech Classification w/ MLPs | Audio data pre-processing (melspectograms), MLP classifier coding, training, and hyper-params tuning, Python, PyTorch | n/a |
| [2023] Predicting Health Outcomes w/ Personal Trackers | Experiment design, data querying from personal Apple Watch and behavioral apps, EDA, ML modeling w/ Python, scikit-learn | n/a |
| [2022] Health Trends of the Americans' Next Generation | Data querying w/ SQL, data cleaning, analysis, and visualization w/ Python, matplotlib, and seaborn | n/a |