Architected the HackerRank Assemble solution, significantly streamlining candidate data evaluation and enhancing ATS efficiency across multiple channelsConnected various job boards and ATS APIs (such as Greenhouse Harvest) to HackerRank's Screening Platform, centralizing candidate information into a user-friendly dashboard for hiring managersDeveloped and implemented automation scripts that dynamically update test questions based on performance metrics (e.g., median scores, leaks, time spent), improving evaluation accuracy and saving significant timeLed in-depth training sessions and comprehensive test health reviews, ensuring continuous optimization and improvement of technical evaluation processesAchieved a full-time offer within the first few months of the internship due to project success and positive feedback from the team and management.

• Developed and deployed multiple APIs using AWS Lambda and Serverless Application Model (SAM), significantly contributing to key projects• Configured and optimized EC2 instances, and containerized the entire process with Docker, enhancing development, deployment, and testing efficiency• Authored comprehensive technical documentation and managed deployment to AWS, ensuring seamless execution of applications• Collaborated effectively with team members to troubleshoot and debug technical issues, using Postman for thorough API testing and verification• Leveraged GPT-4 to generate accurate and contextually relevant responses to user queries, improving user experience• Utilized Pinecone (Vector DB) for efficient storage and retrieval of embeddings, developing innovative techniques to leverage context for more accurate response generation• Tech : Python , SQL , APIs , LLMs , AWS Lambda , Serverless Application Model (SAM) , AWS EC2