About Me
Developing Reliable Systems
That Scale in the Real World
I’m a Senior Backend Engineer & Cloud Architect with over 12 years of experience building and scaling backend systems for production environments.
I’ve worked across different stages of products—from early-stage startups to mature platforms—helping teams design clean architectures, robust APIs, and efficient cloud infrastructure that can handle growth without unnecessary complexity.
My work focuses on making systems simple, maintainable, and resilient, so teams can move fast without breaking things in production.
Let’s talk with me.
Helping organization to take correct decision
Beyond implementation, I help teams make better technical decisions. This includes reviewing existing architectures, identifying performance and scalability bottlenecks, and designing long-term solutions that align with business goals.
I strongly believe that good engineering is about trade-offs, clarity, and long-term thinking—not just choosing the latest tools or frameworks.
When needed, I work closely with founders and engineering teams as a technical partner, providing guidance and hands-on support throughout the lifecycle of a system.
Technical Expertise
Over the years, I’ve built and maintained production systems across multiple domains, working deeply across backend engineering, system design, databases, and cloud infrastructure. My experience allows me to approach problems holistically—considering scalability, security, performance, and long-term maintainability from the start.
Backend Engineering
I design and implement robust backend systems using Python (Django, Flask, FastAPI), Node.js and Ruby on Rails with a strong emphasis on clean architecture and reliability. I have extensive experience building RESTful and event-driven APIs, along with implementing secure authentication, authorization, and access control mechanisms following industry best practices.
Databases & Data Stores
I work with both relational and NoSQL databases, including PostgreSQL, MySQL, DynamoDB, scylladb, and MongoDB. My focus is on data modeling, schema design, and query optimization to ensure performance and scalability as data volume grows.
System Design & Architecture
I have strong experience designing systems using both monolithic and microservices architectures. This includes designing distributed systems, API and database architectures, and planning for scalability, fault tolerance, and performance. I prioritize trade-off–driven decisions based on business needs rather than defaulting to complexity.
DevOps & Cloud
I support the full development lifecycle by designing and maintaining containerized deployments using Docker, building CI/CD pipelines with Jenkins and GitHub Actions, and managing cloud infrastructure on AWS and Google Cloud.
I deploy and manage applications using Infrastructure as Code (IaC) with AWS CloudFormation and Terraform, and handle configuration management using Puppet—with a strong focus on automation, reliability, and efficient environment management.
Data Engineering & Analytics
I design and build data pipelines that make large datasets available for analytics, reporting, and decision-making. My experience includes creating reliable ETL workflows, transforming raw data into analytics-ready formats, and enforcing data quality and validation across pipelines.
I’ve worked with tools like Apache Airflow and Mage.ai to orchestrate data workflows and have hands-on experience with cloud data warehouses and analytics platforms, including Amazon Redshift, Athena, and Google BigQuery.
Let’s connect and start a conversation today
Have a backend, data, cloud, or system design project?