I am a highly accomplished Backend Software Engineer with 3+ years of experience building scalable architectures, high-performance systems, and automation-driven backend pipelines. I design systems that are maintainable, observable, and cost-efficient, and I enjoy mentoring teammates on engineering best practices. Recipient of Developer of the Year — AppUnik (2024).
Recognized for outstanding contributions in backend architecture, system optimization, and engineering leadership.
As a key backend engineer at AppUnik, I work with cross-functional teams to design and implement mission-critical systems for enterprise applications. I focus on building resilient services, observability, and automation.
A selection of technologies and tools used regularly to build and operate systems.
Scalable architecture, performance engineering, security-driven development, and robust CI/CD with observability and testing baked in.
Developed an enterprise data-reporting platform with layered caching, scheduled background processing, and multi-tenant RBAC. Implemented audit trails, dynamic enrichment forms, and optimized PostgreSQL schemas for large-scale reporting.
Architected multi-queue GPU task handling, optimized inference pipelines, and created a scalable credit system for model usage. Integrated OpenAI GPT models, Stable Diffusion API and subscription billing with RevenueCat.
Built secure pipelines for file ingestion, connected backend services to ML engines for automated classification, and reduced manual processing by ~80%. Implemented job queues and S3-backed processing with monitoring and retries.
End-to-end subscription flow, role-based access, payment integrations, and nightly backups for reliability. Designed APIs for multi-role workflows (Admin / Teacher / Student / Parent).
Completed a two-year B.Ed. program focused on computer science education and pedagogy.
Foundation in software engineering, databases, and web development.