Backend & Platform Engineer | Distributed Systems · Cloud Infrastructure · AI Systems · Low Level Systems
I'm a Backend Engineer interested in understanding and building the systems behind modern applications, from distributed backends and cloud infrastructure to LLM-powered applications.
My experience spans backend engineering, cloud-native applications, Kubernetes infrastructure, AI systems, and lower-level experimentation with Linux networking and virtualization.
- 🔭 Working on Backend Engineering, Cloud Infrastructure, and AI-powered Systems
- 🧪 Exploring Distributed Systems, HPC, Linux Internals, Virtualization, and Cloud-Native Infrastructure
- 💬 Ask me about GO, FastAPI, Kubernetes/GKE, Agentic Workflows, AWS/GCP, or eBPF/XDP
- 📫 Email · LinkedIn
Distributed architectures, container orchestration, Kubernetes, cloud infrastructure, concurrency, reliability, and scalable backend systems.
Linux internals, eBPF/XDP, KVM/QEMU, Firecracker, gVisor, container runtimes, networking, and sandboxed execution.
LLM applications, agentic workflows, RAG pipelines, context-aware document processing, and infrastructure for running AI workloads safely and reliably.
Parallel computing, performance optimization, resource management, and distributed computing infrastructure.
Languages
Python · Go · C/C++ · JavaScript/TypeScript
Backend & Application
FastAPI · Node.js · Gin · PostgreSQL · Redis · RabbitMQ
AI Engineering
LangChain · LangGraph · RAG · Vector Search · LLM Tooling & Agent Workflows
Cloud & Infrastructure
AWS · GCP · Kubernetes · Docker · Terraform · GitHub Actions · Harness CI/CD
AWS
Lambda · Step Functions · Bedrock · EC2 · S3 · RDS · ECR · VPC · IAM · Secrets Manager
GCP
GKE · GCS · IAM · VPC
Systems
Linux · eBPF/XDP · KVM/QEMU · Firecracker · gVisor · Container & Network Isolation
Designing and developing backend services, REST APIs, database integrations, asynchronous workflows, and application architectures with an emphasis on maintainability, scalability, and reliability.
Working with containerized applications, Kubernetes infrastructure, cloud services, CI/CD pipelines, storage systems, and deployment automation across AWS and GCP.
Building infrastructure and backend components for LLM-powered applications, including agentic workflows, tool integration, document processing, and secure code execution.
Exploring Linux networking, virtualization, container isolation, and high-performance packet processing through hands-on implementations and experiments.
Developed a Kubernetes-backed sandbox execution system using FastAPI, GKE, gVisor, Redis, GCS, and Python.
The system provisions isolated execution environments, stages files, executes generated Python code, manages sandbox lifecycle and concurrency, and handles generated artifacts.
Experience with backend services and cloud infrastructure across AWS and GCP, including serverless workloads, containerized applications, CI/CD pipelines, object storage, databases, and Kubernetes deployments.
Hands-on implementations involving eBPF/XDP, SO_REUSEPORT, KVM/QEMU, Firecracker, and container isolation, focusing on how operating systems and networking components behave internally.
| Project | Description |
|---|---|
| lb-xdp-poc | Experimental load balancer using eBPF/XDP and Go to explore high-performance packet processing. |
| xdp-tutorials | Hands-on exploration of XDP and eBPF using C and Go, documenting progressively deeper experiments. |
| SimpleBank | Backend banking API built with Go, Gin, SQLC, PostgreSQL, authentication, and containerized deployment. |
| NutriNavigator | Nutrition recommendation system combining personalized food recommendations with an organic food marketplace. |
Distributed Systems · High-Performance Computing · Cloud Infrastructure · Linux Systems