I'm a Backend Engineer with 2+ years of experience, building scalable and high-performance web applications using Go, Django/DRF and AWS. I enjoy solving complex problems, designing reliable systems, and building customer-focused solutions that perform well at scale.
Currently going deeper into Artificial Intelligence and Machine Learning - building agentic tooling and RAG pipelines to expand my engineering toolkit and build smarter applications.
My mission? To teach machines how to appreciate a good cup of coffee and tell me jokes! When I'm not coding or debugging, you can find me in a coffee shop ☕, sipping on a latte and pondering life's mysteries.
Integrated Recurly-based subscription billing for the SaaS platform, supporting multiple plans, proration, invoicing, and webhook-driven payment validation, contributing to an 8% increase in revenue.
Re-architected video transcoding pipelines using AWS Elemental and Zencoder, adding fault-tolerant retries and reducing end-to-end processing time by 10%.
Implemented scheduled cleanup jobs to automatically delete original video assets after a retention period, reducing S3 storage usage by 30% across 4.5M+ videos.
Owned and delivered an end-to-end product on the core platform, building APIs, frontend features, and integrating Strapi CMS for content management.
Developed an AWS Lambda-based event processor to aggregate viewer engagement data, leveraging Redis caching to support analytics and enable seamless resume playback functionality.
Migrated REST APIs from exposing internal database IDs to secure, auto-generated public keys, addressing security vulnerabilities and contributing to SOC 2 compliance.
Designed and integrated Stripe payment workflows, including webhook-based event handling to validate successful transactions and gracefully handle payment failures.
Built internal automation scripts to scrape and aggregate external data for operations and sales teams, reducing manual effort and turnaround time.