Hi, my name is

Nursultan.

I don't just code. I build solutions.

I have little interest in mindlessly churning out lines of code; my passion lies in creating meaningful impact and implementing truly innovative systems.

About Me

I am a Data-Scientist with a passion for Machine Learning and Full-Stack Engineering. With a background in computer science and math, I enjoy solving complex problems and exploring the intersection of technology and innovation.

I am currently working towards the IBM AI Engineer Professional Certificate, and also on projects related to Neural Networks, LLMs and backend systems, focusing on building efficient, scalable, and user-friendly applications.

Here are a few technologies I've been working with recently:
  • TensorFlow
  • Scikit-Learn
  • SQL
  • PyTorch
  • Git
  • Bash
  • React
  • Aiogram
  • Django
  • Docker

Experience

Quantitative Risk & Pricing Developer (Intern) - Vertis
March 2026 - Present

At Vertis, I sit at the intersection of software engineering and environmental commodity markets. My role is focused on building the technical infrastructure and mathematical models used to navigate the complexities of carbon pricing and risk management.

Instead of traditional finance, I apply SWE principles to the green transition—translating climate data and market volatility into robust, scalable code.

Core Responsibilities:

  • Engineering Pricing Engines: I design and implement automated tools to price complex environmental assets (such as EUAs and carbon offsets). I focus on writing clean, production-grade code that integrates real-time market feeds with our internal valuation models.
  • Risk Infrastructure & Automation: I build and maintain data pipelines and backtesting frameworks to quantify market and credit risk. I’ve shifted the workflow from manual spreadsheets to automated Python-based environments, significantly reducing latency in risk reporting.
  • Full-Stack Optimization: I bridge the gap between “pure” quant research and software delivery, ensuring that our pricing logic is not only mathematically sound but also computationally efficient and integrated via internal APIs.
Co-Founder & Technical Lead - MentalX
Apr 2024 - Jun 2025

MentalX is a multilingual mental health platform designed to provide accessible psychological support through a combination of AI, self-guided tools, and professional consultation. It offers users AI-powered emotional guidance, daily affirmations, self-assessment tests, and the ability to book sessions with licensed psychologists — all in Kyrgyz, Russian, and English. Built with a focus on inclusivity and local impact, MentalX was developed as an official partner of the NGO “SOS Children’s Villages”.

As the CTO, I:

  • Designed the system architecture and implemented the backend using Flask with JWT authentication and OpenAI GPT-4 integration
  • Built a Telegram chatbot (using Aiogram 3.18) supporting multilingual interaction and mental health conversation flows
  • Developed a psychologist subscription model and API proxy
  • Integrated SQL Database for user and appointment data storage, with plans for smart booking system integration
  • Led the frontend prototyping and contributed to MentalX’s business strategy

Leading the development of MentalX sharpened my full-stack skills, deepened my understanding of AI integration, and gave me real-world experience building socially impactful tech.

Leading Developer - WeSave
Mar 2025 - Oct 2025

WeSave is a cross-platform web app designed to help individuals understand and reduce their household water consumption through smart, AI-driven insights. Users input their basic usage data, and WeSave analyzes it, visualizes distribution via interactive charts, and offers personalized conservation tips powered by GPT-4o.

As the main developer, I:

  • Designed and implemented the full-stack architecture
  • Integrated GPT-4 for personalized water-saving feedback
  • Implemented secure API handling and visual data reporting
  • Applied a clean UI based on the WeSave brand aesthetic
IT Systems Analyst - SEICO
Jul 2024 - Sep 2025

SEICO is a non-profit engineering organization focused on community-based infrastructure, energy efficiency, and seismic resilience in Kyrgyzstan.

As an IT Systems Analyst, I:

  • Built and configured PCs and servers to support project coordination and field operations
  • Diagnosed and resolved hardware, software, and network issues for staff and engineers
  • Maintained IT systems for photo-monitoring, data collection, and technical reporting
  • Helped manage the technical workflows for construction team certification and project documentation

Working at SEICO gave me hands-on experience in IT infrastructure and showed me how technology can directly support sustainable development and field operations.

Senior Coordinator - Altyn-Tuyun
Jan 2021 - Jun 2022

Altyn Tuyun is Kyrgyzstan’s leading institution for youth STEM education and technical creativity. As a Senior Coordinator, I played a key role in delivering hands-on engineering experiences, international competition hosting, and nationwide outreach in STEM.

Key responsibilities and accomplishments:

  • Mentored over 400 students in coding, robotics, and engineering fundamentals through year-round programs
  • Led more than 30 workshops on robotics, Python programming, and Chess at tech camps and STEM clubs
  • Coordinated national and international events, including hosting international olympiads and competitions in science and technology
  • Collaborated with local and global partners to expand Altyn Tuyun’s reach and impact on youth tech education

This role deepened my leadership and mentorship skills while contributing to the national mission of empowering youth through practical STEM education.

Team Leader - Jalgyz Emessin
Jan 2021 - Jun 2022

Jalgyz Emessin (translated as “You Are Not Alone” from Kyrgyz) is a youth-led initiative aimed at supporting vulnerable communities across Kyrgyzstan through creative, social, and volunteer-driven projects.

As a Team Leader, I:

  • Led a team within a 250-member volunteer club, contributing to large-scale social impact
  • Organized and executed 10+ initiatives that directly supported over 1,000 people in need
  • Managed logistics, event planning, and resource coordination for community outreach efforts
  • Fostered collaboration, strengthened team dynamics, and mentored younger volunteers
  • Contributed over 800+ hours of volunteer service across humanitarian, educational, and civic projects

This role sharpened my leadership, coordination, and impact-driven project management skills within a socially engaged youth movement.

Teaching Assistant - TSI AUCA College
Sep 2022 - Jan 2025

As a peer tutor within the Technical School of Innovation AUCA College, I provided academic support to undergraduate students across technical and foundational subjects.

As a Tutor, I:

  • Delivered over 80 one-on-one and group sessions in Machine Learning, Calculus, and Academic English
  • Helped students improve performance on coding assignments, problem sets, and exam preparation
  • Supported learners from diverse academic backgrounds, including international students and non-CS majors
  • Created tailored learning plans and exercises, resulting in measurable improvements in grades and confidence
  • Collaborated with TSI coordinators to track progress and adapt tutoring strategies based on student needs

This role strengthened my ability to explain complex concepts clearly and adapt to different learning styles — while deepening my own expertise in core subjects.

Education

2025 - 2028
Eötvös Loránd Tudományegyetem (ELTE)
Bachelor of Science in Computer Science
  • Activities: Data Science Club
2022 - 2025
Technical School of Innovation College AUCA
Software Engineering and Social Transformations
  • Secondary Professional Education.
  • Civic Engagement Diploma (800+ hours of documented community service.)
2013 - 2022
Gymnasium-Complex No. 26 with Advanced Studies in French
High School

Awards:

  • Outstanding knowledge of French
  • Active contribution to the sports life of the school

Projects

YOLO CNN Implementation
YOLO Deep Learning CNN Neural Networks PyTorch Python
YOLO CNN Implementation
A project where Convolutional Neural Network was used for Simpsons classification task.
ResNet50 Fine Tuning
Deep Learning CNN Neural Networks PyTorch Python
ResNet50 Fine Tuning
Using Convolutional Neural Network for shoes classification problem, as well as improving the model using Fine Tuning method.
University Guide Bot
Aiogram AI Integration RAG Python
University Guide Bot
A telegram chatbot that uses Retrieval Augmented Generation for finding requested info about the Kyrgyz National University.
WeSave App
React Flask JavaScript AI Integration API
WeSave App
AI-powered app that tracks household water usage via analog meters and promotes conservation through personalized tips and gamified challenges. Requires no smart devices, making it affordable and scalable.
Multi-Layer Neural Network Implementation
Deep Learning Neural Networks Python Numpy
Multi-Layer Neural Network Implementation
A classic application of multilayer neural networks is image classification, where the goal is to accurately predict the category of an input image. In our case, we are focusing on distinguishing images of cats from other categories.
MentalX AI Chatbot
Aiogram SQL Python AI Integration API
MentalX AI Chatbot
GPT-4o powered mental health chatbot, who supports those in need, as well as guiding them towards professionals.
Student Grade Prediction Model
Gradient Boost Sklearn Pandas XGB NumPy
Student Grade Prediction Model
This project contains CatBoost model training, which will later on be used for predicting student's grade by their habits, lifestyle, activities, and other attributes. The code is based on mostly hand-written functions.
Car listing analysis
SQL Flask Pandas BeautifulSoup
Car listing analysis
A project where detailed analysis of all the car listings on mashina.kg was done. By using tools such as BeautifulSoup, SQL, Flask, Pandas, etc, we extracted useful insights and revealed hidden patterns.
Car Price Prediction Project
Machine Learning Logistic Regression Random Forest Python BeautifulSoup
Car Price Prediction Project
A Python project for scraping car listings from Mashina.kg, preprocessing data, building regression models to predict car prices, and interpreting model outputs.

Achievements

Get in Touch

My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!