Building
Engineered for scale.
I build cloud-native, event-driven systems and internal platforms with a focus on observability, performance, and production reliability.
Nexus
A comprehensive distributed observability platform that provides monitoring, logging, and visualization capabilities for complex systems.
Observability PlatformInboxIQ
An AI-powered email management system that intelligently categorizes, prioritizes, and organizes emails for better productivity.
AI ProductPulseForge
A robust event-driven backend platform designed for high-performance, scalable applications with asynchronous processing.
Backend PlatformMini ML Platform
End-to-end training + inference with MLflow registry
ML PlatformProcuroid
Autonomous multi-agent procurement platform (AI ATL 2025 HM)
AI ATL 2025 Honorable MentionCrumb
Realtime social app with NFC-based friend adding
Social App- Java (Spring Boot)
- Python (Flask, FastAPI)
- REST APIs
- Asynchronous Processing
- JWT & Role-Based Access Control
- System Design
- AWS (EC2, S3, Lambda, IAM, CloudWatch)
- Google Cloud Platform
- Docker
- Kubernetes (Kind / Minikube / EKS)
- CI/CD Pipelines
- Infrastructure Cost Optimization
- Prometheus
- Grafana
- ELK Stack
- Service Level Objectives (SLOs)
- Error Budgets
- Monitoring & Alerting
- scikit-learn
- MLflow (Tracking & Registry)
- Model Training Pipelines
- Production Inference APIs
- Experiment Versioning
- React
- Next.js
- TypeScript
- Tailwind CSS
- Browser Extensions
- Responsive UI Design
- Swift (iOS)
- Kotlin (Android)
- MVVM Architecture
- React Native
- Expo
- Mobile REST Integrations
Platform automation, internal tooling, reliability systems development and maintenance.
Cloud services development, microservices architecture, observability implementation, and Kubernetes deployment.
ML systems development, graph models research, AWS serverless architecture, and data engineering.
Let's build something.
Open to full-time roles, contracts, and interesting problems in backend, cloud, or AI infra.