- Deploying and maintaining cloud-based solutions on GCP and AWS platform.- Proven ability to optimize and enhance document processing pipelines, including designing async versions with the team for handling large volumes of data and batch processing.- Quick learner with a passion for staying updated with the latest technologies and trends, adaptable to new roles and responsibilities such as transitioning to CCAI development projects.

Project - 1Reported to the Principle Research Scientist, R&D UK, gaining a broad understanding of R&D functioning and KPIs.Regular one-on-one connections with the manager for updates and guidance.Worked on a Project, collaborating with a UK teammate to complete the Proof of Concept (POC).Created comprehensive documentation and developed a reusable asset for the company.Presented a video demonstration to the team, including founders, Global head R&D, and stakeholders in quarterly or yearly update meetings.Followed agile methodology, participating in regular scrum or stand-up calls for daily updates.Utilized ASANA software for task assignment and project management.Conducted benchmarking and maintained a detailed spreadsheet of experiment details.Used Google STT (Speech-to-Text), MT (Machine Translation), and TTS (Text-to-Speech) APIs for desired language results, with a focus on Asian languages like anime in Japanese.Leveraged Google Cloud, Google Storage Buckets, Python, Linux, Gitlab, and G-suite for documentation purposes.Project - 2 Worked on a second Project under the Multi-object optimization thread, collaborating with the manager.Explored various aspects related to the project's problem, scaling, and dynamic nature.Used Nvidia cuopt SDK to solve the Traveling Salesman Problem and Vehicle Routing Problem.Generated graphs using Matplotlib and incorporated map visualization with folium.Acquired a thorough understanding of Nvidia SDK documentation, including cost matrix, and compared performance differentiators in cu-opt and or-tools.Enhanced the existing VRP by adding a capacity constraint.Leveraged Google Cloud, Vertex AI, Compute Engine, Workbench, Python, Google Cloud CLI, Docker, and Nvidia Cu-Opt for the project.

Completed a 6-week training plan focused on deep learning techniques, Python, Frontend Web Development, and Google Cloud.Finished all assignments on time and presented them to mentors in person.Received positive feedback from the learning development team.Achieved an overall score of 4.2 out of 5.Key performance aspects evaluated were technical skills, collaboration, presentation, and communication skills.Successfully developed or designed a solution for a capstone project on Semantic Segmentation using ML Technologies (TensorFlow, Scikit Learn, etc).

Tech Stack : Javascript, Typescript, Node.js, ReactJS, and Angular 13.Methods : Object Orientated Programming with UML Class Diagrams, Agile Methodology. Tools : Git and Docker -Worked with the IBA (Intelligent Business Automation) Business Unit Team to develop a Business Management Tool using low code platform OutSystems.

I'm very glad to share that I have completed my Internship at The Sparks Foundation in Web Application Development domain. It was a great experience and I learned a lot of things. I would like to thank all the mentors and peers who helped me to learn a lot of new things during this internship.