Priyank is a Full-stack Developer with over 5 years of experience designing scalable applications, RESTful APIs, and distributed systems. He specializes in Python frameworks (Django, Flask, FastAPI) and React.js, with expertise in building AI/ML-integrated solutions and real-time data pipelines using Spark, Pandas, NumPy, and AWS Glue. Proficient in cloud platforms (AWS, Azure), databases (PostgreSQL, MySQL, Oracle), and messaging systems (Kafka), Priyank also has strong skills in CI/CD automation using GitHub Actions, Jenkins, GitLab CI, Docker, and Terraform.
AI, ML & LLM
AI/ML
Amazon Elastic Container Service (Amazon ECS)
Built a comprehensive data pipeline to extract structured information from PDFs and convert it to JSON format for further processing. Developed a React.js dashboard for monitoring pipeline status, error logs, and data processing metrics. Integrated FastAPI back end to provide real-time updates and API services. Implemented AWS-based storage and processing using S3, Lambda, and ECS. Ensured scalability, reliability, and automated error handling. Designed and implemented back-end services using FastAPI. Developed front-end dashboards using React.js. Managed data extraction pipelines and handled PDF to JSON transformations. Integrated AWS services for storage, compute, and deployment. Monitored system performance and optimized for reliability and scalability.
Developed ETL pipelines and REST APIs to process large-scale streaming data. Created a React.js front end for real-time Spark Streaming visualization with interactive dashboards. Migrated workloads to Azure for better scalability and performance. Implemented caching, query optimization, and logging for efficient operations. Built ETL pipelines using Django and Python. Developed REST APIs for real-time data access. Created front-end components in React.js for data visualization. Optimized data processing and implemented performance improvements. Managed cloud deployment, monitoring, and alerting using Azure Services.
