- Developing an Evaluation Framework for Indian Conversational AI Systems
Work
- Apr 2025 - Aug 2025Centre for Responsible AI, Indian Institute of Technology, MadrasAI Engineer
- Jan 2025 - Mar 2025ThirdAI Automation IncApplied Data Scientist
- Built induvidual document processing pipelines
- Developed RAG based solutions
- Integrated the solutions using LangChain, FastAPI, AWS and Docker
- Jul 2022 - Jan 2025Eli Lilly and CompanySenior Machine Learning Engineer
- Worked as an ML Engineer leading the development of AWS CI/CD pipelines for an internal chatbot, earning multiple accolades; singlehandedly built an Azure-based chatbot in collaboration with Microsoft, receiving high praise from U.S. leadership—contributions culminated in a promotion to Senior ML Engineer.
- Switched roles to work as a Machine Learning Engineer for the Generative AI Team at Eli Lilly, where I assisted in building RAG-based infrastructure and LLMOps in AWS; later promoted to Engineer-I in March 2024 for leading backend development of inference and indexing pipelines, delivering full ML architectures with CI/CD, deploying multiple production applications, and improving RAG efficiency—recognized with two RISE Awards for timely execution and cross-functional collaboration across AWS, Azure, and Generative AI initiatives.
- Joined as an Azure Foundational Cloud Engineer, where I managed Azure infrastructure, contributed to CI/CD transitions using GitHub Actions, developed reusable Azure Bicep modules, collaborated across teams to enhance customer experience, and maintained comprehensive documentation—achievements included securing runner-up in a Generative AI Hackathon, automating JIRA–ServiceNow integration, and completing the Azure Fundamentals Certification.
- Apr 2023 - July 2023University of LiverpoolIntern - Deep Learning Researcher
- Investigated the ability of Language Models like GPT/Flan-T5 on task-oriented settings like dialogue conversations.
- Jun 2021 - Jan 2022University of California IrvineIntern - Deep Learning Researcher
- Explored the effectiveness of VAES on predicting cancerous transcriptions in Genome Sequences.
- May 2021 - Aug 2021Patra Research Group - IITMIntern - Machine Learning Researcher
- Evaluated the effectiveness of dimensionality reduction techniques like PCA on predicting the critical temperature for polymer phase transitions.
- Jun 2020 - Feb 2021Indian Space Research OrganisationDeep Learning Intern
- Used U-Net to build an image segmentation model to detect the land use and land cover of a region using satellite images.