About
No bio added yet
Skills & Expertise (33)
Work Experience
Software Engineer
Gajabuja
Apr 2026 - Jul 2026
Shipped core client-side features and live-service updates for a high-traffic mobile application using C and .NET-based architecture, rolling out 5+ major updates implementing reusable manager patterns. Integrated backend systems utilizing Firebase for data persistence and Redis for distributed caching; collaborated on server-side APIs to achieve a 30% reduction in server response time. Configured secure OAuth systems (Apple and Google Sign-In) for cross-device synchronization, securely supporting 10,000+ active concurrent users. Monitored production health by analyzing server logs in Google Cloud Console and tracking crashes via Firebase Crashlytics, achieving a 99.5% crash-free session rate and reducing average bug-resolution time by 30%. Deployed third-party monetization SDKs and integrated 7+ external demand sources (including Meta and InMobi) into the application pipeline, improving fill rates by 25% and boosting overall revenue by 15%. Engineered deep-link routing flows using Adjust tracking to support referral journeys, successfully redirecting 10,000+ users monthly to specific application modules and improving user acquisition conversion by 20%. Delivered robust user-facing systems with complex state handling and UI animations, contributing to a 15% increase in Daily Active User (DAU) retention and driving thousands of daily impressions.
Associate Software Engineer
Gajabuja
May 2025 - Apr 2026
Shipped core client-side features and live-service updates for a high-traffic mobile application using C and .NET-based architecture, rolling out 5+ major updates implementing reusable manager patterns. Integrated backend systems utilizing Firebase for data persistence and Redis for distributed caching; collaborated on server-side APIs to achieve a 30% reduction in server response time. Configured secure OAuth systems (Apple and Google Sign-In) for cross-device synchronization, securely supporting 10,000+ active concurrent users. Monitored production health by analyzing server logs in Google Cloud Console and tracking crashes via Firebase Crashlytics, achieving a 99.5% crash-free session rate and reducing average bug-resolution time by 30%. Deployed third-party monetization SDKs and integrated 7+ external demand sources (including Meta and InMobi) into the application pipeline, improving fill rates by 25% and boosting overall revenue by 15%. Engineered deep-link routing flows using Adjust tracking to support referral journeys, successfully redirecting 10,000+ users monthly to specific application modules and improving user acquisition conversion by 20%. Delivered robust user-facing systems with complex state handling and UI animations, contributing to a 15% increase in Daily Active User (DAU) retention and driving thousands of daily impressions.
Machine Learning Intern
LearnTricks
Mar 2024 - Apr 2024
Created enhanced predictive models for identifying spam content, achieving over 90% precision and slashing unwanted emails reaching user inboxes by 15% during rigorous two-week evaluation periods. Analyzed social media content using NLP techniques, extracting insights from over 1,000 posts to identify key trends in consumer sentiment and enhance user engagement strategies for the brand’s online presence.
Machine Learning Intern
Acmegrade
Jul 2023 - Sep 2023
Designed and implemented a music recommendation system in Python, achieving over 90% recommendation accuracy by leveraging collaborative and content-based filtering techniques. Analyzed user preference data to deliver personalized music suggestions, enhancing user engagement by an estimated 30%. Developed a movie recommendation system tailored to individual user preferences, achieving 85% recommendation accuracy. Applied matrix factorization and nearest neighbor algorithms to generate personalized movie suggestions, increasing user satisfaction by approximately 25%.
Education
B.Tech in Computer Science and Engineering - PES University
2021 - 2025 · Afghanistan
Certifications
Building Recommendation System
Great Learning · 2025
AWS Educate Getting Started with Storage
Amazon Web Services · 2024
AWS Educate Getting Started with Networking
Amazon Web Services · 2024
AWS Educate Getting Started with Serverless
Amazon Web Services · 2024
Foundations : Data , Data , Everywhere
Coursera (Google) · 2023
A Beginner’s Guide to Linux Kernel Development LFD103
The Linux Foundation · 2023
Interested in this developer?
Profile Score Breakdown
Profile Overview
Skills (33)
Click a skill to find developers with the same skill