Worker pool system
Systems programming
Concurrent worker pool implementation in Go.
Go
Concurrency
Projects
Featured work — backend systems, AI/ML pipelines, and data infrastructure.
Concurrent job processor
Concurrency
Job queue with concurrent workers.
Go
Channels
Goroutines
Production API service
Backend engineering
High-performance HTTP API service.
Go
HTTP
API
Cache library
Backend engineering
In-memory caching library.
Go
Caching
Redis integration
Backend engineering
Redis client and caching layer.
Go
Redis
Caching
Event processing system
Distributed systems
Event-driven message processing.
Go
Message queues
Events
Notification service
Distributed systems
Async notification delivery service.
Go
RabbitMQ
Notifications
Rate limiter service
Distributed systems
Distributed rate limiting.
Go
Redis
Rate limiting
Feed system
Distributed systems
Real-time feed aggregation.
Go
Events
Distributed
AI agent system
AI infrastructure
LLM-powered agent orchestration.
Python
LLMs
Agents
AI support platform
AI infrastructure
AI-powered support and automation.
Python
RAG
LLMs
RAG Service (FastAPI + Vector DBs)
Backend & RAG pipeline design
Retrieval-Augmented Generation with low-latency search and contextual responses.
Python
FastAPI
Vector DBs
LLMs
Distributed Backend Services (Go + RabbitMQ)
Backend engineering
Resilient backend systems: webhook ingestion, async job processing, inter-service communication.
Go
RabbitMQ
Microservices
BI Dashboards Portfolio
Data visualization
Power BI & Tableau dashboards for analytics storytelling.
Power BI
Tableau
DAX
SQL
ETL Microservice (Celery + RabbitMQ)
Data engineering
High-throughput API extraction and transformation pipelines.
Python
Celery
RabbitMQ
ETL