Jul 2024 – Jul 2025 · 1 yr · Gurugram, Haryana, India

• Exemplary Contributor Award (Feb'25)
• Pat On The Back Award (Dec'24)
• Spot Award : Beyond The Call Of Duty (Sept'24)
• Spot Award : Champion Collaborator (April'24)
• Designed, Implemented and Optimized RESTful APIs, enabling seamless integration between various systems with Jira, DataDog, Slack with the Application, leading to 27% reduction in response latency and page load times.
• Developed custom scripts and automation tools, streamlining repetitive tasks, reducing error rates by 10%.
• Modified Jenkins Pipelines to support Quality Teams.
• Worked with Gatling, SiteSpeed, Java Dropwizard, ReactJS, Python

Jan 2024 – Jun 2024 · 5 mos · Gurugram, Haryana, India

Jul 2023 – Aug 2023 · 1 mo · San Francisco, California, United States · Remote

• Implemented streamlined data processing workflows using RabbitMQ and MongoDB, enhancing system performance and data management.
• Developed system diagrams for AI repositories, enhancing team collaboration and optimizing the development process. Additionally, refactored the codebase to improve performance and maintainability.

Jun 2023 – Jul 2023 · 1 mo · New Delhi, Delhi, India · On-site

• Worked with RASA Framework and Docker Compose to streamline the development process of a dynamic chatbot for the NCCS website, resulting in a 15% more user interaction.
• Leveraged OpenWeatherAPI and multiple other APIs for development and seamless integration.

Mar 2023 – Jun 2023 · 3 mos · Greater Patna Area · Remote

• Contributing to research on advanced techniques for image segmentation using various deep learning architectures to develop accurate and effective models for segmentation and classification tasks
• Engineered deep learning architectures, including YOLO, U-Net, ResNet, Attention U-Net, and Meta AI’s SAM model to develop accurate models for skin lesion detection and classification using ISIC-2018 dataset, achieving
• accuracies greater than 93%.
• Assisted in creating and analyzing innovative methodologies for skin lesion analysis by integrating YOLO’s object detection capabilities with U-Net’s segmentation capabilities, leading to a 17% increase in overall performance.

Mar 2023 – Apr 2023 · 1 mo · Remote

• Conducted research at XU Lab under Professor Dr. Min Xu, focusing on developing anomaly detection models for images and videos using Pytorch, Tensorflow
• Worked on a research project collaborated between XU Lab and Bridges Lab

Sep 2022 – Nov 2022 · 2 mos · Guwahati, Assam, India · Remote

• Collaborated in a team-based environment to complete projects involving prototyping AI products, conducting data
• analysis, and performing market segmentation using machine learning techniques.
• Worked on a project with a team to analyze and manage inventory, develop an AI product prototype, and create various models.

Sep 2022 – Sep 2022 · 0 mo

Jul 2022 – Aug 2022 · 1 mo · New York, United States · Remote

• Interacted with pod members and leaders, took part in lightning talks and contributed to MLH prep projects.
• Learned new technologies like ruby, jekyll. Used them to integrate new components like map and other web pages
• Learned to work with teams using several progress tracking tools.

May 2022 – Jul 2022 · 2 mos · India · Remote

• Selected as one of the top 3000 students for the Microsoft Engage Intern Program in India in May-June 2022.
• Participated in the program as a mentee, working under the guidance of a Microsoft employee.
• Developed and deployed a movie recommendation system as part of the program.

Jan 2022 – Feb 2022 · 1 mo · Remote