Intuitive LMS platform for seamless education management and learning.
SDE-1 @ HyScaler•Backend & AI
Building scalable backend systems and AI agents
Specializing in distributed architectures, high-throughput task pipelines, and production AI agent workflows.
Fig 1.2.5+ YearsFull-Stack Engineering
Fig 2.851+GitHub Contributions (Last 1 Year)
Fig 3.17 Technical ArticlesEngineering Writeups & Deep Dives
Core Engineering Capabilities
Architecting reliable, distributed systems from database design to API delivery.
- 01.RAG & Vector Search
Postgres + pgvector pipelines with Hugging Face embeddings, Docling, and semantic context matching.
- 02.Distributed Task Processing
Celery workers with Redis queues, Flower monitoring, and Node.js worker threads for intensive jobs.
- 03.High-Throughput APIs
FastAPI and Node.js microservices with Redis caching, SAML-based Single Sign-On, and GraphQL.
- 04.Database Engineering
Complex MongoDB aggregation pipelines, normalized PostgreSQL schemas, and indexing for low-latency queries.
- 05.Infrastructure & Tooling
Linux VPS deployment, Docker containerization, Caddy reverse proxy, and automated CI/CD webhooks.
Featured Projects
Systems, tools, and applications I've built and shipped.
Core Stack & Technical Arsenal
Technologies, frameworks, and infrastructure powering my daily engineering work.
01.
Languages
TypeScriptJavaScriptPythonGoSQLBash
02.
Backend & Distributed
FastAPINode.jsExpress.jsNestJSCeleryRedis QueuesGraphQLREST APIs
03.
Databases & Storage
PostgreSQLpgvectorMongoDBRedisMySQL
04.
AI & Semantic Search
RAG PipelinesHugging FaceDoclingAmazon BedrockVector Search
05.
Infra & Tooling
DockerLinux VPSCaddyGitGitHub ActionsFlower
Technical Insights
Latest engineering writeups, debugging notes, and guides.
Understanding and Integrating Celery and Flower: A Step-by-Step Guide
→Transform PostgreSQL into a Vector Database with pgvector
→Amazon Bedrock with JavaScript
→SAML Authentication: SP vs. IdP Flows Explained
→Connect & Collaborate
Available for backend consulting, distributed systems engineering, RAG microservices, or full-time opportunities.