Open to opportunities

Chandrashekar Azad

@chandrashekarazad

Message

Python backend engineer specializing in API design, microservices, and AI/ML integration.

India

Message

What I'm looking for

I seek backend or platform roles where I can build scalable API-driven systems, work with cloud-native stacks, mentor teams, and drive automation and reliability.

I am a software engineer with 4+ years of hands-on experience in Python backend development and two years focused on AI/ML integration, building reliable, scalable APIs and database infrastructures using Flask, FastAPI, Django, and ORMs like SQLAlchemy.

I design and optimize cloud-native systems on AWS and Kubernetes, implement CI/CD and containerization, and deliver production-grade solutions—improving performance, availability, and automation while mentoring peers and fostering developer-centric self-service platforms.

Experience

Work history, roles, and key accomplishments

Backend Developer

BMS Infosolutions Private Limited

Aug 2021 - Oct 2025 (4 years 2 months)

Built and optimized Python- and Go-based backend services, REST/gRPC APIs, and scalable data pipelines on AWS and Kubernetes, improving availability and performance of critical datastore systems for multiple clients.

Python Go fastAPI Flask MySQL DynamoDB AWS Lambda Kubernetes Docker

Backend Developer

TalentBoost AI Solutions

Drove reliability and performance of MySQL and DynamoDB infrastructures, architected serverless ETL and backup workflows on AWS, and integrated ML models into backend APIs to enable predictive automation.

Python AWS Lambda S3 Glue DynamoDB SQLAlchemy PyTorch Kubernetes Cloudwatch

Backend Developer

InsightSphere Analytics

Developed low-latency financial transaction monitoring microservices in Go and Python using Kafka and gRPC, implemented caching that reduced API response time by 30%, and deployed containerized services with Terraform and Kubernetes.

Golang Python Apache Kafka gRPC Redis Docker Kubernetes Terraform Prometheus

Backend Developer

NeoLearn EdTech Pvt Ltd

Architected lead distribution APIs and scalable data pipelines using MySQL and DynamoDB on AWS/Kubernetes, enabling real-time lead routing and Salesforce integration with improved reliability and monitoring.