Backend-Focused Software Engineer with 4+ years of experience building scalable web applications, distributed systems, and AI-powered tools.
I specialize in the Python ecosystem and cloud-native architectures on AWS.

• 💼 SDE 2 with strong backend & system design experience
• 🐍 Advanced in Python (Django, FastAPI, async workflows)
• ☁️ Experienced with AWS (EC2, Lambda, S3, CloudFront, DynamoDB)
• 🔁 Strong background in Celery, RabbitMQ, distributed task systems
• 🤖 Building AI-driven products using OpenAI & Gemini APIs
• ⚡ Focused on performance optimization, reliability, and clean architecture

• Python (Advanced)
• SQL
• JavaScript
• Java (Basic)

• Django
• Django REST Framework
• FastAPI
• Flask
• Celery
• Django Celery Beat

• PostgreSQL (Query Optimization & Indexing)
• DynamoDB
• Redis
• BigQuery

• RabbitMQ
• AWS SQS

• AWS (EC2, Lambda, S3, CloudFront)
• Boto3
• Docker
• CI/CD
• Sentry

• OpenAI API
• Gemini API
• Prompt Engineering
• HubSpot CRM API

• Built backend for an AI voice bot handling 50,000+ daily calls
• Reduced webhook response time to sub-200ms
• Designed ETL pipelines processing 5+ TB of data monthly
• Built Kafka consumers processing 12,000+ events/sec
• Developed AI-powered tools generating $120K+ revenue
• Optimized database queries reducing execution time from 1.2s → 300ms

• 📧 Email:
• 💼 LinkedIn
• 🌐 Portfolio

• Scaling distributed backend systems
• Deepening knowledge in AI systems & applied LLM engineering
• Advanced system design & performance engineering

“Build systems that scale. Optimize what matters. Automate what repeats.”