I am Ariet, an independent software engineer and student based in Bishkek, Kyrgyzstan. I build algorithms that solve real structural challenges: from high-precision computer vision for school exam evaluations to modern cloud infrastructures.
Growing up in Kyrgyzstan, I saw firsthand how educational institutions often lack expensive specialized equipment. While high-income countries deploy optical mark readers costing thousands of dollars, our regional schools relied on days of manual, error-prone teacher grading.
This drove my mission: to study Computer Science at an advanced collegiate level so I can develop software-defined solutions that replace prohibitive hardware with elegant algorithms accessible to schools and communities worldwide.
Beyond software, I have a deep creative passion for music production and acoustic signal engineering using Cubase and FL Studio.
Synthesizing sounds and balancing audio frequencies taught me the exact same virtues required in Computer Vision and distributed systems: harmonic balance, temporal precision, noise reduction, and rigorous attention to micro-details.
A software-defined Optical Mark Recognition (OMR) system created to evaluate regional school olympiads and admissions tests without specialized hardware.
When teachers in regional schools scan stacks of thousands of exam sheets, the papers inevitably rotate by 5–15 degrees, shift by 10–20 pixels, or get crumpled. Standard OMR software simply misses the bubbles, causing false zeroes.
Conventional open-source OMR relies on rigid static bounding boxes that fail completely when sheets skew or scan lighting fluctuates.
Designed a four-stage pipeline: Hough Line fiducial alignment → 4-point homography transformation → dynamic subpixel bubble snapping (±15px tolerance) → adaptive brightness differential evaluation.
Applied software projects built to solve institutional, logistical, and commercial problems with modern web standards and asynchronous architectures.
Engineered a comprehensive campus facility reservation platform for Ala-Too International University. Replaces paper sign-ups and dispersed email threads with a real-time, conflict-free booking scheduler.
High-throughput automation platform coordinating multi-bot tasks across hundreds of Telegram channels without hitting rate limits.
Automated taxi booking and dispatch bot system built on Aiogram 3. Handles driver queues, fare estimations, geolocation reverse-geocoding, and complete multi-language localization (i18n) for passengers and drivers.
Retail checkout desktop application interfacing directly with physical thermal receipt printers (XPrinter via ESC/POS protocol). Features offline data caching, inventory tracking, and automated sales auditing in Excel.
A balance of rigorous algorithmic foundations, modern full-stack development, and international communication skills.
A progression defined by curiosity, community service through code, and independent technical initiative.
Initiated, architected, and field-tested the optical exam grading software now evaluated across thousands of school olympiad participants in Kyrgyzstan. Solved camera angle distortion and subpixel bubble detection without external dependencies or costly hardware.
Built modern resource booking platform on React 19, TypeScript, and Cloudflare Workers. Designed intuitive UI for scheduling university auditoriums, conference halls, and laboratory rooms.
Built scalable messaging infrastructure handling over 500,000 automated queries with Telethon, Django, and SQLAlchemy. Developed taxi dispatch systems with finite state machines and regional localization.
Multi-year exploration of digital signal processing in FL Studio and Cubase. Gained intuition for frequency spectrums, time alignment, and harmonic structure that directly reinforces mathematical computer vision work.
I welcome inquiries from university admissions officers, computer science professors, and research mentors. Based in Bishkek, Kyrgyzstan (UTC+6).