Ajay Arora Email & Phone Number

Gurugram, Haryana, India

Achieved a 30% reduction in response time for candidate evaluation API, enhancing efficiency and user experience.Created a candidate scoring microservice leveraging Spring Boot and Spring Cloud resultng decrease in scores processing per candidate from 6 to 2 seconds.Utilized Java and Hibernate to implement advanced Item Response Theory algorithms (3 params),enabling the delivery of adaptive assessments.Built a Python data migration pipeline using multithreading to facilitate the transfer of data betweenMSSQL and MySQL databases. The tool efficiently handled internal data modifications concurrently.Developed a Python-based insights scoring microservice using prompt modeling with ChatGPT, usingmultithreading and AWS SQS, optimizing the AI screener interview process for real-time insights andimproved candidate assessment.

Gurugram, Haryana, India

Implemented a scoring engine in PHP, using Valgrind, an open-source tool to calculate the time complexity of code submissions which evaluates algorithm efficiency, offering insights into candidates' coding skills.Improved scoring service with Java concurrency, reducing CPU usage by 10% and cutting server costs.Developed a Python-based scoring engine to evaluate candidates' logic in building RESTful APIs for full-stack simulation assessments. This engine assesses candidates' proficiency in backend frameworks.Implemented CI/CD pipelines for 2 microservices using bamboo, automating testing, and deploymentprocesses. Result in accelerated development cycles by 30% and optimized overall software quality.

Project assigned - "Detection of Sustain Attention in real time". AGUI web based app was developed in which attention of anindividual is detected at each second. The app also includesbrain games to help people with low attention to increase theirfocus.I was responsible for the Deep learning to detect high attentionor low attention developed using Keras library.