Adithya is an innovative software engineer with over 5 years of experience specializing in web development and hybrid application development for various industries, including for US-based and international clients. He is proficient in building SDKs, libraries, frontend and backend, comfortable with both Microservice and Monolithic architecture. Adithya uses various tools and technologies, currently using Python and React.js as main technologies, also having experience in a team management position.
Developed and maintained the end-to-end infrastructure of the microservice that incorporates neural networks for image based tagging (AWS EC2, Elaticache, DynamoDB).
Revamped an application framework from NodeJS to Python, leading a team of five developers in the process. Tuned Postgre SQL Database performance which reduced the processing latency by drastically improving the performance by over 100%.
Handled and Monitored production failures across the company infrastructure by being a part of the oncall team with help of AWS Cloudwatch Metric. Enhanced and architected the Vanilla Javascript library to support Custom Usecases.
Vue.ai® has achieved significant success as a leading retail AI firm within 3 years.
The firm has expanded vertically beyond its initial focus, now targeting healthcare, education, finance, and other verticals.
Key accomplishments include enhanced Vanilla Javascript library, optimized Postgre SQL database performance, and the implementation of neural networks for image-based tagging using AWS EC2, Elaticache, and DynamoDB.
