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.
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!
2021 - 2025
Completed a comprehensive computer science curriculum with a focus on software engineering, distributed systems, and artificial intelligence.
• 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%.
• 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.
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.
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.
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.
You can also request my resume via email at [email protected]
I'm currently available for freelance work, consulting opportunities, and startup collaborations. Feel free to reach out if you're interested in working together!
I typically respond to emails within 1 hour.
Telegram/Email are the best way to reach out to me. Feel free to connect on LinkedIn.