Introducing the No Hiring Fee Package!
Post vacancies
Hire without commissions
Python developer - 32642
(Pandas, seaborn, sklearn, matplotlib, graphviz) Personal projects on web scraping and structuring data about smartphones and movies with detailed EDA (distribution, KDE, correlation maps, pair plots) and feature engineering for regression and classification. R² 90% CV-evaluation on RandomForest.
(OpenCV, TensorFlow, PyQt) Image enhancement and scaling/noise reduction based on DL. Comparison of SRCNN/SRGAN with classical interpolation. Creation of a pipeline with benchmarking and visualization.
(PyTorch, Keras, CUDA, sklearn, PyQt) Deep learning CT Image Cancer Classifier for cancer detection: preprocessing of scans; modeling, training, and evaluation of the classification model. Achieved 90% accuracy in validation.
(Python, SQLite, MS Access) Practical experience with relational databases: schema design, CRUD operations, implementation of query building in Python.
(Kotlin, SQLite, Firebase Realtime Database) People & Countries App with real-time cloud data synchronization, full CRUD, foreign key associations. Secure Notes App for storing confidential records with multi-level authentication, RSA encryption, message signing, and real-time communication with a Python server via TCP.
(2021-2025) Eight review and research publications in IT area, including in collaboration with Professor M&SE Azaryan A.A. from KNU.
(Kali Linux, airmon, hcxtools, hashcat): WiFi network analysis, bash scripting.
(HTML, JS, Peact, CSS, bootstrap, PHP, MySQL) Web application for the admissions committee: implemented the workflow for submitting applications, data verification, dynamic rating lists, and report generation. Single-page React application for report collection: class-based components, dynamic navigation bar, custom design, deployed on Firebase Hosting.
(Schematic design, soldering, ArduinoIDE, EasyEDA, Fritzing) Arduino-based IoT development: assembly of sensor-based devices, firmware adaptation, and one independently developed project: RGB clock with addressable strip.
Practical training in electrical engineering, measuring instruments, and equipment operation.
Experience working with electronics, soldering, installation, repair, reading schematics, and applying technical standards.
Received professional qualifications as an “electrician” and “electrical technician.”
In-depth study of algorithms, data structures, OOP, network protocols, databases, and web technologies.
Completed educational projects in Python, JS, C++, and Kotlin. Worked with big data analysis and AI training using Python. Created automation systems on Arduino.
Participated in conferences and scientific work of the department.
Responsibly performed the duties of group leader.
Qualification work is devoted to the study of image processing methods using traditional methods and AI.
Experience with Python DA, ML stack (NumPy, pandas, Seaborn, SciPy, PyTorch, TensorFlow/Keras, OpenCV), working with SQL, REST.
Writing review and research publications, including in collaboration with Professor Azaryan A.A. of the Department of MPZ.
Group leader.
Master's thesis devoted to researching the mechanism of attention in neural networks.
I do research in AI/ML, DSP, information security, and real-time systems.
I have publications in conference proceedings, and Scopus articles are in preparation.
Head of the stream.
My dissertation is devoted to working with AI to automate the security control of voice command transmission in organizational and technical systems.