Aug 2022 – Sep 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India

• Developed robust and modular components for ZS's data processing platform, ZAIDYN, utilizing Python, Flask and React.JS and developed key features such as Migration, to enable users to migrate their data between different versions of application, as well as Approval Requests, which helped users to streamline approval process before any new transformations take place on input data.
• Orchestrated and managed data workflows for our application using AWS's MWAA service.
• Built responsive API endpoints using REST API concepts and ensured baseline Code Coverage with Unit/Integration tests via pytest.
• Collaborated with DevOps and Cloud Security team for seamless platform deployment and monitoring.

Jan 2021 – Aug 2022 · 1 yr 7 mos · Bangalore Urban, Karnataka, India · Remote

• Crafted scalable backend modules using Django REST API for Most Downloaded Live Gaming App, and Most Viewed Live show (All Against One) in Nordic Countries such as Norway, Denmark, and Sweden
• hosted by European entertainment leader, Banijay Group.
• Utilized Rabbitmq, Celery, and Amazon SNS to support 1M users recording 3500 TPS (Transactions per Second) in live game scenario.
• Formulated CI/CD pipeline for Android and iOS application builds via GitHub Actions and FastLane.
• Engineered stress/load testing tool using Locust and Faker libraries in Python for comprehensive application stability evaluation.

Jan 2020 – Jan 2021 · 1 yr · Bangalore · On-site

• Developed, maintained, and scaled Image detection and character recognition solutions with OpenCV and Python, deployed using Flask and React.JS.
• Boosted operational efficiency of Smart Gate product from 84% to 92%
• Used Geo-Location APIs to design vehicle tracking application (imagine tracking app like that of Uber, but specifically for moving containers) and Google OCR API to detect and recognize RFID tags attached to moving containers.
• Integrated Tesseract Single-Shot detector to replace batch image processing, reducing latency by 45%.
• Prepared training/testing data with labels and convolution filters to enhance prediction accuracy of deployed models.

Dec 2019 – Feb 2020 · 2 mos · Bangalore

• Learnt about making use of Intel's OpenVINO architecture for solving cutting - edge problems related to Computer Vision and IoT.

Jul 2019 – Jan 2020 · 6 mos

• Responsible for Migration of Hadoop based audit application for a Big Four client into Azure cloud environment.
• Contributed to smooth processing of large silos of data using Oozie/Talend packages, and designing visualization for the benefit of the end user.
• Hosting a crisp dashboard view to count the daily incident count in the Production environment using Django REST API and Azure app service.
• Performed remote deployment of major releases of the application and Smoke testing to certify the smooth functioning of the application.

Jul 2017 – Jun 2019 · 1 yr 11 mos

• Supported the maintenance of a highly-available audit application for a Big Four client.
• Daily tasks included real-time data extraction using Hadoop, moving data between clusters and transforming the input data using pre-defined packages.
• Worked on minor defects based on performance issues triggered due to the lazy loading of data from Hadoop data centers.
• Responsible for rigorous monitoring of the absolute health of the live application using Enterprise-level tools such as Splunk and AppDynamics.

Mar 2018 – Jun 2018 · 3 mos · Bangalore

• Implemented Convolutional neural network from scratch by working on MNIST Datasets
• Worked on various SOTA models such as DenseNet, ResNet, YoloV2 for image recognition and detection by working on CIFAR-10 and other popular datasets.
• Got selected for phase 2 which is currently underway.
• All the code related to the internship is hosted here:
• https://github.com/ankitjaadoo/Image_Video_Processing
• https://github.com/ankitjaadoo/Learning-Object-Detection
• https://github.com/ankitjaadoo/MLBLR