Email: timak474@gmail.com
Website: https://www.linkedin.com/in/timofey-trifonov-ba8231223/
Link to CV: https://resume.io/r/sr1XziSGZ
Level: PhD, MS, Internship, Research Visit
Keywords: Data science, Machine Learning, Computer Vision, NLP, Sound analysis, AI
Short bio / research interests / publications: I’m a final year (BSc) undergraduate student at Tyumen State University, majoring in Mathematics.
I’m looking for an MS/PhD position or an internship in Computer Vision, NLP or generalized – Machine learning.
At the moment I have almost 4 years of experience in the field of working with audio (speech recognition, synthesis, audio denoising, etc.). Currently I work in the international company “Voctiv” as a Middle+ Data Scientist, where I continue to engage in R&D.
While working as Data Scientist in the company, I learned to write clean code, which allowed me to write highload services in addition to research, and also helped to quickly implement (as well as correct and improve) the results of articles.
Also my recent articles/experiments and research activities:
– “NTI” grant for the development of a dialogue system with a reaction to the emotional coloring of speech.
– Article “g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection” (https://link.springer.com/chapter/10.1007%2F978-3-030-73696-5_12)
– Multimodal approaches in CV (GAN’s, VAE’s, etc.) for tasks of image generation
– Fine-tuning and building pipelines with VQ-VAE+CLIP, ruDALL-E, JukeBox, etc.
– Research in the field of building multimodal approaches in audio-text problems
(More info about my background can be found in CV)
I speak English fluently, recently started learning French.
Love learning and doing research!