Projects

Selected systems, backend, and infrastructure work.

These projects are presented for architecture, execution, and technical depth. The emphasis is on real systems, tradeoffs, and outcomes.

OccluMap

Backend and infrastructure for a dental imaging platform.

Stack

  • Rust
  • Python
  • PostgreSQL
  • Cloudflare R2
  • RunPod
  • Railway
  • Tauri

Key Contributions

  • Designed the backend architecture and service boundaries
  • Built the Rust API server and core data flow
  • Integrated the ML pipeline with autoscaling serverless compute
  • Managed storage design and inference handoff across services

Technical Depth

  • Separated the API layer from the inference layer so the product could scale ML workloads independently of standard request traffic.
  • Balanced latency and cost by using serverless compute for inference-heavy paths instead of keeping expensive workers warm all the time.
  • Designed the storage and data flow around large imaging assets, persistent metadata, and desktop-driven workflows.

BugFlows

ML-powered SaaS platform for automated bug triaging.

Stack

  • Rust
  • Axum
  • Tokio
  • Django
  • PostgreSQL
  • AWS
  • GCP
  • Docker

Key Contributions

  • Designed the system architecture and backend service layout
  • Built backend services in Rust for performance-critical paths
  • Implemented integrations with GitHub, Jira, and Bugzilla
  • Led a team of 4 engineers while shipping the product

Technical Depth

  • Handled large defect datasets at 100K+ scale with a fast training and prediction loop.
  • Focused on API reliability and predictable performance as integrations and dataset size increased.
  • Built the system with enough flexibility to support both product delivery and ongoing model iteration.

Internal Tools @ Cognizant

High-performance internal tools and enterprise applications.

Stack

  • C#
  • WPF
  • Access DB
  • Enterprise APIs

Key Contributions

  • Improved API performance by 30 to 50% on production systems
  • Built a WPF tool adopted by 15,000+ users
  • Developed highly optimized Access database applications under real enterprise constraints

Technical Depth

  • Worked on performance optimization where large datasets and slow workflows had direct operational impact.
  • Focused on practical efficiency gains rather than theoretical polish, improving responsiveness inside real production environments.
  • Learned to work within enterprise constraints while still pushing for better system behavior and maintainability.