About me

Backend Developer with 4+ years of experience designing and optimizing scalable server-side systems using Node.js, Express.js, and MongoDB.

Skilled in building high-performance APIs, implementing caching with Redis, and deploying containerized applications on AWS with Docker.

Experienced in designing, deploying, and operating containerized services in cloud environments with a focus on performance, reliability, and observability.

✦ What I'm doing

  • Backend Engineering

    Designing and optimizing scalable server-side systems using Node.js, Express.js, and MongoDB with a focus on performance.

  • Cloud & DevOps

    Deploying containerized applications on AWS with Docker and Kubernetes, implementing automated CI/CD pipelines.

  • AI/ML Integration

    Integrating AI/ML platforms with RAG, Vector Databases, and LLM fine-tuning for intelligent applications.

  • Full-Stack Engineering

    Building data-driven React applications with microservice-style architecture and seamless API integration.

✦ Open Source

NesoHQ — Open Innovation Community2025 — Present
  • —Contributed to a microservices-based cloud platform, implementing a circuit breaker pattern for container health checks, improving service resilience and preventing cascading failures.
  • —Designed and integrated a distributed caching layer within the Dockerized environment, reducing inter-service latency and optimizing repeated data access.
  • —Actively participated in architectural design and performance optimization of high-performance backend systems.

✦ Tech Stack

  • LanguagesGo, Python, Node.js, TypeScript, JavaScript
  • BackendFastAPI, Express.js, Django, Gnocchi, Celery
  • FrontendReact.js, Next.js, Tailwind CSS
  • Cloud & DevOpsAWS, GCP, Docker, Kubernetes, OpenStack, CI/CD
  • AI/MLRAG, Vector DB, LLM, NLP, Computer Vision
  • DatabasesPostgreSQL, MongoDB, Redis
  • ObservabilityGrafana, Prometheus
  • ToolsJira, Figma, Git, Agile/Scrum