# Anirudh Iyer > Engineering @ Kennar Health | ex-Intern @ Ploomber.io (YC W22) | M.S Computer Engineering @ NYU | B.Tech ECE @ MIT Manipal Location: Brooklyn, New York, United States Profile: https://flows.cv/anirudhiyer Hi there! I’m Anirudh, a tech enthusiast with a knack for blending innovation and practicality in the world of engineering. With an M.S. in Computer Engineering from NYU and a B.Tech in Electronics and Communications Engineering from MIT Manipal, I've built a solid foundation in AI, Backend Engineering and System Design. Currently, I’m working at Kennar Health, where I'm excited to be part of a team that's transforming healthcare through AI driven insights. Before this, I had a fantastic stint at Ploomber.io (YC W22) as a Data Science Intern, diving into Python development and scalable solutions for data-heavy projects. My journey has been about tackling interesting challenges and learning something new daily. From fine-tuning large language models to developing distributed translators, I love solving complex problems and developing innovative solutions. Let’s connect and see how we can drive innovation together! ## Work Experience ### Software Engineer @ Kennar Health Jan 2024 – Present | New York • Engineered an Agentic AI pipeline leveraging RAG functionality to transform raw healthcare data into actionable patient insights at the point of care—highlighting key metrics such as chronic conditions, ICD codes, and HEDIS measures. • Architected a React-based RAG (Retrieval-Augmented Generation) chatbot leveraging a single-agent architecture to help healthcare providers engage with patient health data and seamlessly trigger clinical workflows. • Designed and developed a robust, scalable, and HIPPA complaint backend system for Kennar Health. • Built a secure data extraction pipeline using custom HL7-CCDA and PDF parsers to prepare clinical information for AI-driven analysis. • Managed cloud infrastructure on Microsoft Azure, deploying containerized services with Kubernetes to ensure high availability and efficient resource management. • Developed a FastAPI microservice for generating data embeddings. ### Research Assistant @ New York University Jan 2024 – Jan 2024 | New York, United States Worked with Dr. Parijat Dube on optimizing the fine-tuning of Large Language Models (LLMs) by integrating advanced techniques such as Tensor Parallelism, Low Rank Adaptation, and Quantization, resulting in improved efficiency and performance. ### Graduate Teaching Assistant @ New York University Jan 2023 – Jan 2024 | New York, United States Graduate Teaching Assistant for Intro to High-Performance Machine Learning course ### Data Science Intern @ Ploomber Jan 2023 – Jan 2023 | New York, United States Actively bolstered the open-source data science community by providing valuable code contributions, bug fixes, and documentation enhancements to the company's data science-related open-source projects. Contributed to the development of JupySQL, enhancing its capabilities for running SQL and plotting large datasets within Jupyter notebooks, thereby improving data analysis and visualization workflows for users. ### Data and Finance Incharge @ Campus Ambassador Manipal Jan 2020 – Jan 2021 | Manipal, India ### Working Committee Member @ Campus Ambassador Manipal Jan 2020 – Jan 2020 | Manipal, India ### Treasurer @ The Economics and Finance Society of Manipal Jan 2020 – Jan 2021 | Manipal, India ### Working Committee Member @ The Economics and Finance Society of Manipal Jan 2019 – Jan 2020 | Manipal, India ### Software Development Intern @ Tongadive Jan 2020 – Jan 2020 ### Category Head - Bizzmaestro @ TechTatva, MIT Manipal Jan 2020 – Jan 2020 | Manipal,India The Bizzmaetsro category is a part of the MIT Manipal, annual Tech fest. This category includes all Business Strategy, Finance, and Economics related events and competitions. ### Working Committee Member @ IAESTE India LC Manipal Jan 2018 – Jan 2019 | Manipal,India ### Working Committee Member @ IEEE Jan 2018 – Jan 2019 | Manipal, India ### Summer Research Intern @ Indian Institute of Technology, Kanpur Jan 2019 – Jan 2019 | Kanpur, India Work involved dealing with the topics of Machine Learning, Deep Learning, and the basics of RNNs, CNNs, and LSTMs. Learned about IoT systems, using Arduino ide, Arduino Uno, Arduino Nano boards, working with RaspberryPi ZeroW boards. Implemented a project which performed number plate recognition, using an application which is connected to an IOT Wifi Network which performed the number plate recognition on a RaspBerryPi module and transmitted the results to a Central Firebase Server ## Education ### Master of Science - MS in Computer Engineering New York University Jan 2022 – Jan 2024 ### Bachelor of Technology - BTech in Electrical, Electronics and Communications Engineering Manipal Institute of Technology Jan 2018 – Jan 2022 ## Contact & Social - LinkedIn: https://linkedin.com/in/anirudhiyer99 - GitHub: https://github.com/AnirudhVIyer --- Source: https://flows.cv/anirudhiyer JSON Resume: https://flows.cv/anirudhiyer/resume.json Last updated: 2026-03-23