About
Software Engineer with experience developing scalable backend services and distributed applications. orchtl and algohubb.xyz.
Blog
Tech Stack
Java
TypeScript
JavaScript
Python
Go
React
Next.js
Tailwind CSS
Spring Boot
Node.js
REST APIs
GraphQLMicroservices
Kafka
PostgreSQL
MongoDB
Redis
AWS
Linux
CI/CD
Docker
Kubernetes
Jenkins
Terraform
Prometheus
Grafana
Git
GitHub
Gradle
IntelliJ IDEA
VS Code
Postman
JUnitMockitoIntegration TestingProjects
Developed an unsupervised fraud detection system using DBSCAN and K-Means clustering with merchant risk scoring and category-based thresholds. Built low-latency REST APIs for exposing fraud risk scores with Redis TTL caching and developed payment processing pipelines that extract behavioral features and generate anomaly signals.
- Node.js
- Redis
- Next.js
- DBSCAN
- K-Means
- MongoDB
- Machine Learning
Experience
- Optimized feed performance by implementing server-side pagination and improving backend data fetching for 800+ users.
- Built a feed-ranking system that ranks 3K+ posts using view-based engagement metrics to improve content visibility and relevance.
- Fixed a critical JWT refresh-token rotation issue, reducing authentication failures by 90% and improving session reliability.
- Designed a component-driven UI architecture using reusable React components, Apollo Client GraphQL and Redux workflows.
Education
Certifications
For Recruiters & Teams
Quick Answers
Common things hiring managers want to know — answered upfront.
Yes — actively looking. I'm open to full-time positions at product companies, startups, or established engineering teams where I can own meaningful work end-to-end.
Any fool can write code that a computer can understand. Good programmers write code that humans can understand.