Nov 2023 – Mar 2025 · 1 yr 4 mos · Remote

• Developed and deployed Conversational AI solutions using Dialogflow CX integrating Retrieval-Augmented Generation (RAG) systems with Vertex AI and vector stores to provide context-aware responses.
• Configured CCAI Agent Assist features for client, including Generative Knowledge Assist, Article and FAQ Suggestion, Knowledge Base Setup, Datastore Agent.
• Leveraged CCAI Insights to extract actionable analytics from conversation data for client, enabling data-driven improvements for contact center performance.
• Managed cloud-native application deployments, pipeline scheduling, and cloud security best practices in multi-service environments.
• Configuring webhooks in DFCX, working with Agent Builder.
• Deploying and maintaining cloud-based solutions on GCP and AWS platform.
• Hands-on experience with Google Cloud Platform (GCP) services including Cloud Functions, Cloud Run, Vertex AI, BigQuery, Firestore, Cloud Storage, Secret Manager, and IAM for building scalable AI-driven solutions.

Dec 2022 – May 2023 · 5 mos · Bengaluru, Karnataka, India

• Project - 1
• Reported 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.

Aug 2022 – Dec 2022 · 4 mos · Bengaluru, Karnataka, India

• Completed a 6-week training plan focused on deep learning techniques, Python, 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).

Dec 2021 – Jul 2022 · 7 mos · Pune, Maharashtra, India

• 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.

Apr 2021 – Jul 2021 · 3 mos

Feb 2021 – Mar 2021 · 1 mo · Singapore · Remote

• 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.

Nov 2018 – May 2019 · 6 mos · India