Senior Full Stack Engineer at TinySPL

Designed and implemented scalable full-stack systems using Next.js, React, TypeScript, Tailwind, Node.js, and PostgreSQL. Built distributed backend services with Python, FastAPI, and microservice orchestration using AWS Lambda and serverless compute. Improved application performance with Redis caching, API gateway optimization, and message-queue based event processing. Managed production deployments on AWS (ECS, ECR, CloudFront, S3) with containerization and CI/CD automation. Led architecture decisions for backend services, database schema design, and cloud-native application performance tuning.

Senior Python & AI Engineer at Sleepare AI

Built enterprise-grade Django/DRF systems supporting 50K+ concurrent users with optimized PostgreSQL and Redis. Developed ML/AI pipelines using PyTorch, TensorFlow, and Keras, enabling real-time anomaly detection and analytics. Designed and deployed distributed ETL/ELT workflows using PySpark, Pandas, NumPy, AWS S3, reducing processing time by 40%. Created automated scraping pipelines (Selenium, BeautifulSoup, Scrapy) for large-scale data acquisition. Deployed containerized microservices using Docker, GitHub Actions, CI/CD, improving system stability.

Senior Data Engineer & AI Developer at Fusion Global Solutions

Engineered scalable data pipelines with AWS Glue, Redshift, Lake Formation, S3, and Athena, improving data accessibility and reliability. Built production-ready ML workflows using TensorFlow & SageMaker, enabling automated model deployment and monitoring. Migrated legacy data architecture to a modern AWS data lakehouse with governance, schema evolution, and lineage automation. Collaborated with cross-functional teams to define data models, design batch + streaming workflows, and optimize pipeline performance.