Hi, I'm Assylbek

Software Engineer

Startup founder and tech enthusiast. Built Clout, a platform connecting influencers with brands. Previously: SWE @ Qlub, Research Assistant @ NYUAD CHI Lab. Passionate about startups, AI, and scalable tech.

Assylbek Saduakhassov

About Me

Hi, I'm Assylbek, a software engineer and startup founder passionate about creating innovative, scalable digital solutions. I co-founded Clout, a platform designed to simplify media-kit creation and brand collaboration for influencers, integrating seamlessly with major social platforms like Instagram, Facebook, TikTok, and YouTube.

My background includes software engineering at Qlub, where I built global POS system integrations, and research at the NYUAD Laboratory for Computer-Human Intelligence, developing real-time analytics tools for user productivity. With a strong foundation in Python, Django, AWS, and RESTful APIs, I focus on delivering reliable and efficient backend solutions.

I thrive in entrepreneurial environments, love exploring the intersection of technology and user experience, and am always open to exciting collaborations and new ventures. Let's connect!

Education

NYU Abu Dhabi

New York University Abu Dhabi

B.S. in Computer Science, Minor in Applied Mathematics

2021 - 2025

Completed a comprehensive computer science curriculum with a focus on software engineering, distributed systems, and artificial intelligence.

Relevant Coursework:
Data StructuresAlgorithmsOperating SystemsComputer NetworksDatabasesSoftware EngineeringMachine LearningLinear AlgebraProbability and StatisticsDifferential EquationsData Science
Achievement Highlights:
  • Awarded a $320k Full-Ride Scholarship.
  • Named a Finalist in Amazon Transcend 2025.
  • Achieved Second Place at the NYUAD Entrepreneurship School Bootcamp.
  • Secured Second Place at the Football Ramadan League 2025.

Experience

Software Engineer

Qlub
Apr. 2024 - Mar. 2025

Led technical integration for Pizza Express, onboarding 20+ restaurants across 4 international regions, enabling over 50,000 transactions monthly.

Delivered integrations for 5+ global POS providers, shortening onboarding timelines by 40%.

Implemented LLM-based categorization system, achieving 94%+ accuracy in automated item classification.

Improved system reliability and decreased troubleshooting time by 40% using Jaeger and Grafana.

Built and deployed QR-based menu ordering system for a key POS provider, increasing ordering efficiency by 25%.

PythonMSSQLRedisRESTful APIs

Research Assistant

NYUAD Laboratory for Computer-Human Intelligence
Apr. 2023 - Sep. 2023

Developed a Chrome extension capturing 2M+ user events for productivity insights in real-time.

Built secure Flask backend with 99.9% reliability using JWT authentication for real-time event collection.

Optimized PostgreSQL, decreasing query times by 40% with indexing and partitioning.

Deployed a scalable Flask application on AWS using EC2, ELB, Auto Scaling, RDS, and S3, ensuring 99.99% uptime.

Applied ML algorithms for productivity detection with 92% accuracy, enabling actionable insights.

JavaScriptFlaskPostgreSQLAWS

Projects

Clout Dashboard Preview
Active

Clout

Featured Project

Clout empowers influencers by automatically generating dynamic, professional media kits with personalized URLs, updating daily with real-time analytics and insights from connected social media accounts. This simplifies influencer-brand interactions and dramatically reduces the time and effort required compared to traditional methods.

PythonDjango REST FrameworkPostgreSQLAWS EC2AWS S3JWT AuthenticationSocial media APIs
Project 2 Preview

LLM-Based Classification API for CTOgram

Featured

Developed a fast and responsive API using Large Language Models (LLMs) to classify customer-reported car issues into predefined categories within 0.4-1 second. This standalone feature was built for CTOgram, enhancing their ability to quickly match 178,000 customers with relevant car services from over 1,100 providers.

GroqOpenAIFastAPIFly.devDocker
Project 3 Preview

Conversation Classification & Performance Assessment API for X Company

Developed an API-driven reporting system integrated with Google Sheets to gather data from various sources and classify conversations between AI agents and customers. Used LLM-based classification to evaluate response performance, accuracy, and time efficiency, providing insights into the effectiveness of AI agents across business applications.

PythonGoogle Sheets APIFastAPIDockerPandas & NumPyFly.dev

Skills

Programming Languages

PythonC++JavaScriptSQL

Databases

PostgreSQLMySQLRedisMSSQL

Frameworks & Libraries

DjangoDjango REST FrameworkFlaskFastAPINode.jsExpressTensorFlowPyTorchPandasNumPy

Web & APIs

RESTful APIsChrome Extensions APIOAuthJWT AuthenticationHTTPSWebSocketsgRPCSwagger/OpenAPI

Tools & Technologies

GitGitHubDockerAWSGitHubVS CodePostmanSwagger UIJIRAAgile methodologiesConfluenceSlackNotionDocker Compose

Cloud & DevOps

AWSDockerGitHub ActionsCI/CD PipelinesNginx

Monitoring & Observability

GrafanaJaeger Tracing

Resume

My Professional Resume

You can also request my resume via email at [email protected]

Get In Touch

Contact Information

Location

Abu Dhabi, UAE

Connect With Me

Availability

I'm currently available for freelance work, consulting opportunities, and startup collaborations. Feel free to reach out if you're interested in working together!

Response Time

I typically respond to emails within 1 hour.

Preferred Contact Method

Telegram/Email are the best way to reach out to me. Feel free to connect on LinkedIn.