Bio

Hi! My name is Nikita.

From the start of my career, I've been hands-on with everything from the ground up: designing prototypes, managing development teams and decomposing upcoming goals. Over the past four years, after transitioning from the corporate world to startups, I've focused exclusively on solving cutting-edge AI problems, while simultaneously earning my Master's and later my PhD degrees. This journey has made optimization my life's credo: achieving the most impact with minimal resources. Building things efficiently has, therefore, become a particular strength of mine.

Currently, I'm the Co-Founder and CTO at OHMYSYNT with experience from the 500 Global Accelerator.
I share ideas at conferences, learn how to grow a business and focus on creating something people truly need.

Since 2021, my responsibilities as CTO included:

While obtaining the PhD, I focused on Generative AI: Text-to-Image and Text-to-Video personalization.
While completing the Master's degree, my field of research included segmentation of infrared aerial images, explaination of medical ML models predictions and optimization of the training of Vision Transformer.


Work experience

Jan 2023 Present ‎ ‎ ‎ ‎ Co-Founder and CTO at OHMYSYNT — Making personalized AI-generated content accessible
Jan 2023 Present ‎ ‎ ‎ ‎ AI Consultant — Assisting businesses in finding a suitable AI strategy
Feb 2021 Dec 2022 ‎ ‎ CTO at Malivar (Aliona Pole Studio) — Developed service with synthetic avatars for businesses
Jan 2022 Jul 2022 ‎ ‎ ML Researcher at ITMO University — Researched explainable AI in medicine
Jan 2021 Jul 2021 ‎ ‎ ML Engineer at ITMO University — Implemented segmentation model for drones
Mar 2020 Feb 2021 ‎ ‎ ML Research Engineer at Malivar (Aliona Pole Studio) — Created virtual humans with Deep Learning
Sep 2018 Apr 2020 ‎ ‎ Data Scientist at SberBank — Optimized the sales team motivation system
Jul 2018 Sep 2018 ‎ ‎ Data Science Intern at SberBank — Gained business insights through Data Analysis

Education

2023 Founder at 500 Global Accelerator — Startup Growth, $100k investments
2025 PhD at ITMO University — Artificial Intelligence and Machine Learning, dropped out after 2 years
2022 MS at ITMO University — Applied Informatics in Big Data and Machine Learning, With Honors
2020 BS at Ural Federal University — Applied Informatics

Conferences and Talks

2023 DataFest Yerevan Conference — Text-to-Video Generation and Editing. [Video]
2023 ODS DataFest Conference — An overview of the timeline of the Text-to-Video Generation and Editing. [Video]
2023 AINL Conference — Short paper: Improving Text-to-Image Models Personalization on People with Face-specific Objectives. [Video]
2023 ML Lab ITMO Seminar — Fine-tuning of Text-to-Image Models: DreamBooth and Textual Inversion. [Video]
2019 Deep Learning Seminar — Zero-Shot Learning. [Slides] [Video]
2019 Deep Learning Seminar — ESPCN and approaches for the Super-Resolution problem. [Video]
2019 Deep Learning Seminar — Gated Shape CNN for Semantic Segmentation. [Video]

Papers

at YSC 2022
Nikita Detkov, Ksenia Balabaeva, Sergey Kovalchuk

at IEEE SIBIRCON 2019
Konstantin Ushenin, Nikita Detkov, Tatiana Nesterova, Dmitry Smarko, Artem Razumov, Olga Solovyova


Projects

Master's thesis 2022
Optimized the training of Vision Transformers in terms of required computations and data volume using a combination of Supervised and Self-Supervised learning.

Person Verification with Super-Resolution 2019
Tested the hypothesis of improving Person Verification quality by applying Super-Resolution as a preliminary step.

Bachelor's thesis 2020
Researched the influence of the label smoothing of pseudo-labeled data on training Convolutional Neural Networks.

Music recommendation system 2019
Collected the largest open source music lyrics dataset with extensive metadata. Trained a model for multi-class genre classification and created singer embeddings to visualize their relations


Other

Blog with AI papers anlysis 2022
Summarized AI papers one can read in a few minutes, highlighting the problem, solution, novelty and personal opinion.
Convolution with dilation from scratch 2020
Implemented generalized 2D convolution with dilation from scratch using Python and NumPy.
Data-driven Astronomy Course 2020
Since I'm in love with Astronomy and have some knowledge in Machine Learning, I used to think about projects involving both of them. To start with, I completed this impressive course by The University of Sydney. [Certificate]
ML Competitions 2019


Probabilistic Graphical Models Specialization 2018
Translated the second and the third courses from the specialization of Probabilistic Graphical Models into Russian to offer as university classes.
Newsfeed Optimization Bot 2018
Developed a VK bot to filter out irrelevant content in the newsfeed.