• Headed conceptualization and execution of comprehensive architecture encompassing end-to-end design, development, monitoring, integrating CI/CD practices leveraging AWS services resulted in simplified and extensible backend.

• Led the development of application service utilizing micro-service architecture, AWS Cloud Deployment Kit, CloudFormation, REST APIs.

• Implemented and utilized Apache Airflow setup, Python backend to orchestrate jobs ensuring reliable data processing.

• Enhanced user interface designs and provided solutions to potential challenges in product resulting in its success.

• Collaborated with cross-functional teams to elicit requirements designing and developing forecasting models.

• Automated infrastructure through code to enhance security and streamline data handling mechanisms across various sources and destination to support multiple data formats by serialization and de-serialization.

• Provided guidance and mentorship to Engineers and Business Analysts, ensuring adherence to best practices and facilitated projects success.

• Developed and simulated customer application environments using Java, Python, NodeJs, React guiding customers onboarding to cloud.

• Crafted tools, automation scripts, and documentation to enhance engineers experience in handling external customer interactions.

• Diagnosed network issues and recommended optimal cloud migration strategies to enhance the efficiency of customer applications.

• Integrated and tested AWS SDK and AWS CLI with a wide variety of services like Lambda, API Gateway, Step Functions, EC2, VPC, S3, SNS, SQS, AppSync (GraphQL), Rekognition, Lex etc to architect diverse customer use cases.

• Actively performing Root Cause Analysis (RCA) identifying and helping resolve issues in the services.

• Advised on optimal distributed architectural solutions with AWS cloud to address customers unique business usecases.

• Developed and implemented an Artificial Intelligence solution for a real-world problem with an accuracy of 92% with 90% confidence.

• Created Deep learning models using Neural Networks for image classification using Python, TensorFlow Object Detection APIs, CNN, and Colab Jupyter-Notebooks.

• Developed Shell scripts to set up, and troubleshoot Intel OpenVINO SDK and network in the Linux environment.

• Applied creative Problem-solving skills and effectively communicated with a team of three people with different backgrounds to solve challenges and create a functional prototype.