Fullstack Engineer with 1+ years in Cloud, DevOps & Distributed Systems
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Assessing your cultural and operational fit
Basir Khan is an aspiring Full-Stack Engineer Intern and Founder with 1.75 years of experience in developing and deploying scalable systems. He has a strong background in distributed systems, cloud platforms (AWS, Azure, GCP), and a wide array of technical skills including JavaScript, Python, React, Node.js, Docker, Kubernetes, and data analytics. His experience spans building innovative platforms, optimizing cloud infrastructure, and leading open-source communities.
Centurion University
Bachelor of Technology · Computer Science
August 1, 2022 – September 1, 2026
GeeksforGeeks
Full-Stack Engineer Intern
April 1, 2025 – June 1, 2025
Bhubaneshwar, Odisha, India
Devsomeware
Founder & Freelance Engineer
January 1, 2025 – Present
India
DeployLite - AI-Powered Cloud Platform
January 1, 2025 – December 31, 2025
• Built an AI-driven cloud deployment platform supporting prompt-based CI/CD for web apps, LLMs, DBs, WordPress, and bots • Enabled seamless multi-cloud deployment on AWS, Azure, and GCP via IAM-secured DeployLite Agent with smart infrastructure provisioning • Integrated GitHub OAuth, live build logs, auto webhooks, real-time rollbacks, and containerized deploys via Kubernetes & ECS
View ProjectDistributed URL Shortener & Analytics
January 1, 2025 – December 31, 2025
• Designed and implemented a distributed URL Shortening Platform load-tested to handle 100K+ requests/day using Kafka-based event streaming for high throughput and fault tolerance • Engineered a Real-Time Click Analytics Pipeline with Apache Kafka + Spark Streaming, backed by sharded PostgreSQL for millisecond-level query latency • Deployed a Multi-Region AWS Architecture (ECS, S3, CloudFront) delivering 99.99% availability and sub-50ms global redirect latency
Enterprise LMS with Microservice Video Infrastructure
January 1, 2024 – December 31, 2024
• Designed and built a Zoom-like Learning Management System leveraging Kafka message queues for distributed messaging and seamless scaling to 1K+ concurrent live users • Engineered a Multi-Tenant Video Transcoding Pipeline with FFmpeg + Kubernetes, enabling adaptive bitrate streaming and fault-tolerant processing • Integrated AI-driven learning paths, role-based analytics, and real-time proctoring with predictive dashboards for engagement and usage insights
Cultural Fit Analysis
The candidate's involvement in hackathons, leading an open-source community, and diverse project portfolio (AI-powered platforms, LMS, URL shortener) indicates a strong passion for technology and continuous learning. This aligns well with a culture that values innovation, collaboration, and self-driven development. Their experience in building scalable systems for thousands of users suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative, leadership, and a proactive approach to problem-solving, as evidenced by founding Devsomeware and leading a community. Their project descriptions indicate an ability to work on complex, multi-faceted systems, suggesting good operational fit for roles requiring end-to-end ownership. The experience with collaborative development and mentoring also points to good teamwork potential.