Backend & cloud engineer specializing in scalable distributed systems, Kubernetes, and production-grade infrastructure, with a strong ownership mindset.
Backend & cloud engineer specializing in scalable distributed systems, Kubernetes, and production-grade infrastructure, with a strong ownership mindset.
Built a YouTube-like video and reels platform from scratch. Created a AI recommendation system.
• Designed HLS-based video streaming with FFmpeg + chunked storage on Amazon S3 and CDN delivery.
• Used Apache Kafka to achieve high throughput and event-driven streaming pipeline.
• Deployed platform on web + Google Play store with user management and authentication.
• Tech: Node.js, Redis, MongoDB, Kafka, FFmpeg, S3, React.js, React Native, CDN
• Designed all backend scanner APIs in Node.js, integrating PostgreSQL + Redis for high-speed data handling.
• Enabled direct registry scanning without pulling images; also added Kubernetes cluster/pod/service scanning.
• Developed APIs for vulnerability, container, and registry scanning integrated with Kafka queues.
• Optimized database queries and connection pooling using PgBouncer for scalability under heavy load.
• Implemented PostgreSQL master-slave with PgBouncer and Redis master-slave setup with redis sentinel.
Designed backend scanner APIs in Node.js with PostgreSQL + Redis for high-speed data handling. Enabled direct registry scanning without pulling images; added Kubernetes cluster/pod/service scanning. Developed APIs for vulnerability, container, and registry scanning integrated with Kafka queues. Optimized database queries and connection pooling using PgBouncer for scalability under heavy load. Implemented PostgreSQL master-slave with PgBouncer and Redis master-slave setup with Redis Sentinel. Automated scaling of Microsoft Azure VMs based on CPU/memory load (scale-out up to 10 nodes). Deployed ML model and server Docker images on Azure Kubernetes Service using Pulumi. Scaled cluster resources dynamically based on real-time usage metrics and implemented autoscaling. Built a fine-tuned vulnerability detection AI model using scikit-learn, Hugging Face, and pandas.
Rectified backend server logic, updated code to resolve bugs and enhance performance (Merged PR).
Built a YouTube-like video and reels platform from scratch with a basic recommendation system. Designed HLS-based video streaming with FFmpeg + chunked storage on Amazon S3 and CDN delivery. Leveraged Apache Kafka to achieve a high-throughput, event-driven streaming pipeline. Deployed the platform on web and Google Play store with user management and authentication.
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