ARUZHAN BOLATOVA
22 years old
Abu Dhabi, UAE
const Aruzhan = {
from: "Kazakhstan🇰🇿",
pronouns: "she" | "her",
code: [TypeScript, Javascript,Python, C/C++, Python, HTML/CSS],
favFrameworks: [Next.js, React, React Native, Flask, FastAPI],
databases: [PostgreSQL, MySQL, MongoDB, Firebase],
DevOps: [Git, Docker, Render, GCP],
}
About Me
Get to know me better
Aruzhan Bolatova
New York University
Abu Dhabi, UAE
Hey 👋 I'm Aru. I'm a Computer Science student at NYU, specializing in full-stack development and AI. I am passionate about tech for good and building products that help people. Please play around with my Digital Twin AI agent to get to know me better! Also check out my projects and resume below.
My Projects
Explore my work and creations
My Projects
My Work Experience
A glimpse of my work journey and achievements
Starting from empty GitHub repo, contributed to building AI-driven health solutions by developing scalable backend systems, automation pipelines, and R&D tools.
Key Achievements:
- •Built backend modules to parse unstructured medical data with OCR and AI-powered processing.
- •Engineered an AI engine with LangChain to deliver tailored health insights from longitudinal data.
- •Designed multi-agent automation for bug triaging, product feedback, and task routing.
Technologies Used:
Worked on wearable health technology by developing data pipelines, ML algorithms, and intuitive mobile interfaces for patient monitoring.
Key Achievements:
- •Built multi-sensor data pipelines in TypeScript for real-time respiratory and postural analysis
- •Engineered algorithms for real-time respiratory and postural analysis using peak detection, FFT, and Kalman filtering
- •Built intuitive mobile app interfaces to visualize model outputs and longitudinal data
Technologies Used:
Lead senior thesis on endometriosis ML-based screening using microbiome data.
Key Achievements:
- •Designed predictive ML models to identify microbiome-based biomarkers.
- •Conducted comprhensive literature review on microbiome-endometriosis associations and ML applications in clinical diagnostics
- •Processed and analyzed 16S rRNA sequencing data and associated clinical metadata using SRA and FastX tools
Technologies Used:
Improved e-government systems serving 10M+ users by optimizing performance, data quality, and compliance.
Key Achievements:
- •Reduced portal response time by 4% by diagnosing and resolving system bottlenecks.
- •Streamlined quarterly report reviews, cutting time by 7% with automated SQL and Python workflows.
- •Ensured 100% compliance across 5+ national systems by auditing and validating datasets.
Technologies Used:
My Education
Academic journey and professional certifications
Education
Pursuing a Computer Science degree with focus on AI, software engineering, and data science. Minors in Applied Maths and Natural Sciences.
Relevant Coursework:
Semester abroad at NYU's main campus in New York City, taking advanced computer science courses and exploring the tech industry through internships and networking events. Completed graduate level Database Systems and Data Communnication and Networks courses in College of Arts and Science
Relevant Coursework:
Certifications
My Skills
Technologies and expertise I work with
Programming Languages
Frameworks & Libraries
Databases
Cloud & DevOps Tools
AI & Machine Learning
Testing & Debugging
Soft Skills
Get In Touch
Let's connect and work together
Contacts
@Aruzhan.BolatovaAruzhan's Resume
Full Stack Developer • AI Specialist