Tornike Onoprishvili
Verified Expert in Engineering
Data Scientist and Developer
Lugano, Switzerland
Toptal member since October 1, 2021
Tornike is an ML engineer and CUDA C++ developer with several publications in applied scientific CUDA computations in bioinformatics. His interests and skills include everything related to the efficient use of GPUs for compute optimization and deployment cost-saving.
Portfolio
Experience
- Machine Learning - 4 years
- Python - 4 years
- PyTorch - 4 years
- Pandas - 3 years
- Google Cloud ML - 2 years
- NVIDIA CUDA - 2 years
Availability
Preferred Environment
Python, Google Cloud ML, Machine Learning, NVIDIA CUDA, PyTorch
The most amazing...
...achievement was my publishing "GPU-accelerated Cosine Similarity for Metabolomics" in Oxford Bioinformatics.
Work Experience
Data Scientist
Freelance
- Designed a deep learning architecture for fully-automatic bio-assay toxicity prediction based on Mol2vec (Jaeger et al., 2018) preprocessing and achieved the best single-model test performance on the Tox21 sub-dataset.
- Created a trading analytics pipeline for automatic gathering, sorting, and combining various trading algorithms with Python.
- Implemented and deployed an artistic style transfer network for the stylization of everyday images.
- Designed and implemented a Python scheduled data delivery script for automatic data gathering and snapshotting.
- Created an AI-based VR application for predicting user stress levels based on the pupil diameter for Pico Neo 2.
Mid-senior Data Scientist
ACT - Analysis and Consulting Team
- Created a collaborative filtering solution for automatic recommendations based on customer transaction data of a local pharmaceutical company.
- Developed a data pipeline for cleaning, aggregation, and automatic reporting for a hospital transactional database.
- Oversaw communications with the data engineering team and delivered reports based on the data insights.
Junior Data Scientist
Orient Logic
- Developed a transaction fraud detection system for a local bank with a modified IsoForest-based anomaly detection algorithm, using Scikit-learn.
- Built an experimental Georgian-native banking assistant chatbot using IBM Watson and Flask. Flask server used NLP to normalize Georgian input using a Google API prior to sending requests to IBM Watson.
- Worked on and presented promising AI technologies and libraries to the leading managers in order to boost Orient Logic's business analytics capabilities.
Experience
Tox21 Challenge
https://tripod.nih.gov/tox21/challenge/SimMS: A GPU-accelerated Cosine Similarity Implementation for Tandem Mass Spectrometry
https://www.pangeabio.com/news/accelerating-metabolomics-with-gpus-a-leap-into-a-faster-eraEducation
Master's Degree in Artificial Intelligence
Università della Svizzera italiana - Switzerland
Bachelor's Degree in Mathematics and Computer Science
Free University of Tbilisi - Tbilisi, Georgia
Certifications
TOEFL
Educational Testing Service
Skills
Libraries/APIs
TensorFlow, Keras, Pandas, Matplotlib, PyTorch
Tools
Microsoft PowerPoint, Microsoft Excel, Open Neural Network Exchange (ONNX)
Languages
Python, SQL
Platforms
Jupyter Notebook, KNIME, NVIDIA CUDA
Storage
Google Cloud
Other
English, Data Science, Machine Learning, Mathematics, Google Cloud ML, Computer Vision, Natural Language Processing (NLP), Software Development, Statistics, Statistical Analysis, Convolutional Neural Networks (CNNs), Cloud Computing, Big Data, Forex Trading, Stock Market, Presentations, Machine Learning Operations (MLOps), Generative Pre-trained Transformers (GPT), Organic Chemistry, Artificial Intelligence (AI)
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