- Working on AI for RNAs
Experience
- Oct 2025 - OngoingInstitute for Physical Science and Technology, UMDGraduate Student Assistance
- Apr 2025 - Aug 2025Centre for Responsible AI, Indian Institute of Technology, MadrasAI Engineer
- Led development of "Evaluation Framework for Indian Conversational AI Applications" funded by Bill and Melinda Gates Foundation, creating the first comprehensive evaluation pipeline specifically tailored for Indian language contexts covering 100+ metrics across safety, performance, and cultural dimensions.
- Worked under the supervision of Sudarsun Santhiappan and collaborated with AI4Bharat for development of the framework.
- Designed and implemented a scalable hybrid evaluation architecture by analyzing 15+ existing frameworks and developing modular strategies that combine deterministic algorithms with LLM-as-judge approaches for superior evaluation coverage
- Presented research findings at WSAI Annual Research Showcase 2025
- 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.