Faakhir Ul Hassan Zahid

PROFESSIONAL PROFILE Software Engineer with 2+ years of experience in building scalable backend systems and cloud-native applications. Proven track record of optimizing distributed workflows using AWS and microservices, delivering performance gains and cost reductions. Active open-source contributor to projects including Headlamp (Microsoft), sktime, Plone, Gemini SDK, and other community tools. Experienced in developing data-intensive pipelines, ML-powered services, and automation platforms for real-world production use cases. Strong problem-solving background with 400+ LeetCode problems solved, skilled at debugging and fixing things. Passionate about clean architecture, reliable systems, and delivering high-impact engineering solutions. EDUCATION BSCS SEECS , Islamabad , 3.27 (2026) INTERNSHIP EXPERIENCE Software Engineer @ DTCMode (UK - Remote) 15-Jun-2025 - 15-Dec-2025 • Built Jubbly.ai, a tool for AI powered research from data (images, videos, posts, etc) from social media platforms under seconds. • Worked on automated marketing products, including a high-scale B2B newsletter platform for DTC brands. • Migrated AI n8n workflows to a scalable, decoupled AWS architecture (Step Functions, Lambda, EventBridge, SQS), reducing execution time by 80% and enabling independent workflow scaling. SWE Intern @ The Linux Foundation 01-Feb-2025 - 15-Jun-2025 • Contributing to Headlamp, an extensible Kubernetes UI by Kinvolk (now part of Microsoft), specifically the Azure team. • Improved the headlamp-plugin CLI, enabling seamless plugin installation, configuration management, and updates for in-cluster deployments. Introduced Kubernetes-native declarative plugin management via Helm and ConfigMaps. Backend Engineer @ BLEED AI 01-Sep-2023 - 30-Apr-2025 • Implemented scalable backend pipelines on AWS EC2 to process Upwork’s incoming job data, achieving a throughput of 150,000 jobs per month with an average processing time of 40 sec from job posting. • Developed and deployed ’talent scraping’ pipelines using AWS ECS Fargate, capable of scraping 10,000 pages within 3 hours with optimized containerized workflows. • Implemented cron job scheduler, and notification services at a decent scale. • Participated in migrating infrastructure from GCP to AWS including CI/CD, cloud run deployments, and object stores. SWE Intern @ BLEED AI 01-Jun-2023 - 30-Sep-2023 • Managed to refactor of “upautomate” project and improved state management using redux and NextJS/TypeScript. • Reduced

Software Engineer with 2+ years of experience in building scalable backend systems and cloud-native applications. Proven track record of optimizing distributed workflows using AWS and microservices, delivering performance gains and cost reductions. Active open-source contributor to projects including Headlamp (Microsoft), sktime, Plone, Gemini SDK, and other community tools. Experienced in developing data-intensive pipelines, ML-powered services, and automation platforms for real-world production use cases. Strong problem-solving background with 400+ LeetCode problems solved, skilled at debugging and fixing things. Passionate about clean architecture, reliable systems, and delivering high-impact engineering solutions.