I’m a Senior Python Backend Developer and Cloud Architect with 11+ years of experience building production-grade, AI-driven, and event-based systems using Python (FastAPI, Flask, Django) across AWS, Azure, and GCP.
Skilled at creating scalable microservices, GenAI integrations, and multi-agent (Agentic) AI pipelines for real-time intelligence and automation.
Core Expertise
Backend: Python | FastAPI | Flask | Django | REST APIs | GraphQL
Cloud & Infra: AWS (Lambda, ECS, S3, CloudFormation), Azure, GCP | Docker | Kubernetes | Terraform
Data & Messaging: Kafka | Redis | RabbitMQ | Celery | ETL Pipelines | PostgreSQL | DynamoDB | MongoDB | BigQuery | CosmosDB
AI & Agentic Systems: LangChain | LangGraph | OpenAI GPT-4 | FAISS | RAG | Multi-Agent Coordination | Semantic Search
DevOps & CI/CD: GitHub Actions | Jenkins | TeamCity | Prometheus | Grafana
Trainer & Mentor: Conducted workshops and mentorship programs on Python, FastAPI, Microservices, CI/CD, and Cloud Architecture.
Highlights
Architected LLM-based RAG + agentic systems enabling contextual reasoning, dynamic task orchestration, and intelligent automation.
Built FastAPI AI microservices integrating OpenAI GPT-4 and FAISS for real-time retrieval and summarization.
Developed Kafka pipelines processing 10M+ telemetry events/day with <2s latency and 99.98% uptime.
Delivered multi-cloud deployments (AWS, Azure, GCP) using Docker, Kubernetes, and Terraform.
Automated ETL + analytics workflows using Pandas, BigQuery, and Looker Studio, reducing manual efforts by 60%.
Trained and mentored cross-functional engineers on scalable backend, CI/CD, and AI integration best practices.