I turn caffeine into code and meetings into async tickets. Lead Software Engineer with 9+ years building backend platforms, distributed systems, and microservices—the kind that actually stay up at 3am (mostly).
Built platforms from scratch, led the migration from Python monolith to microservices (Node.js, Go, Python), and migrated the whole shebang from Exoscale to AWS with minimal downtime. Also grew an engineering team and occasionally explain to stakeholders why "just one more sprint" is never just one more sprint.
| 🔭 Working on | Microservices architecture, event-driven systems, production AI (LLMs, agentic systems) |
| 🌱 Exploring | AI/ML tooling in production, evaluation patterns, rollback strategies for AI features |
| 💬 Ask me about | Python, Go, Node.js, System Design, AWS, scalable backend platforms |
| 📍 Based in | Bhopal, India |
AREAS_OF_EXPERTISE = [
"Backend Development & API Design (REST, gRPC, GraphQL)",
"Distributed Systems & Microservices Architecture",
"Cloud Infrastructure & DevOps (AWS, Kubernetes, Terraform)",
"Event-Driven Systems & Async Workflows",
"Data Modeling & Query Optimization (PostgreSQL, MongoDB)",
]
# Also: migrating clouds without losing sleep (mostly)
| Category | Services |
|---|---|
| Compute & Orchestration | EKS, ECR, EC2 |
| Storage & Databases | S3, RDS, ElastiCache |
| Networking | VPC, ALB, multi-AZ |
| Security & IAM | IAM policies, roles, least-privilege |
| Monitoring & Ops | CloudWatch, Prometheus, Grafana |
| CI/CD | GitHub Actions, Terraform |
Migrated from Exoscale to AWS with minimal downtime. Architected production-grade infrastructure with Terraform—VPC, IAM, multi-AZ deployment for security, compliance, and high availability.
| 🏗️ | Led migration from Python monolith to microservices (Node.js, Go, Python)—deployment time down 40% (and my sanity, slightly) |
| ☁️ | Migrated Exoscale → AWS end-to-end—20+ microservices, minimal downtime. Yes, we pulled it off. |
| 🚀 | Deployed on AWS EKS with multi-AZ; Terraform-managed VPC, IAM, RDS, ElastiCache, CloudWatch |
| 📈 | Cut query latency 40% through data modeling, indexing, and the occasional midnight optimization session |
| 🤖 | Shipped production AI with LLMs and agentic systems—internal tools and sales automation |
| 📚 | Set up engineering practices—CI/CD, Prometheus/Grafana, observability; team velocity up 35% |
| 👥 | Hired and mentored the team; onboarding time down 50% |
| 🔧 | Built gRPC layer for high-performance inter-service communication—because REST wasn't always enough |
