Hey, I'm Aaron. I am an AI Developer specializing in the healthcare domain. I have almost a year of experience working and delivering for clients (Amgen, Alexion, Astrazeneca) in the US healthcare and Pharma industry. I have also worked on Observability of Systems and sessions for banks like HDFC, ICICI and Bajaj.
Work that I have done
AI and Backend Engineer
ZS Associates (https://www.zs.com/)
• Designed and deployed an authoring pipeline for regulatory documents at Amgen and Astrazeneca (Alexion) , automating key steps in the submission process. • Developed workflows utilizing LLMs to draft, structure, and validate documents, enabling Amgen scientists to complete 50% of drafts with up to 80% accuracy. • Implemented, maintained, and enhanced an end-to-end ingestion pipeline to support downstream processes like document authoring. • Created modular agents in LangGraph for tasks such as transforming structured data into narratives, harmonizing terminology, and generating templated sections with contextual precision.
-Backend and AI Engineer
DevRev (https://devrev.ai/)
• Contributing to their observability product, recording user sessions for clients like Bajaj, HDFC, and IndusInd Bank • Tasked with developing dashboards for clients like Bajaj and HDFC for them to view sessions data and query them in natural language to understand insights about the sessions • Developed a chatbot for the sessions data • Developing MongoDB aggregations to analyze user screen usage • Tasked with enhancing session handling and user properties in Java Spring Boot, and implemented logging to DataDog • Completed Golang training, migrated Go code, and updated the Angular Admin Portal with new API parameters
-Backend & Prompt Engineer
Softlander Consultants
• Developing an AI Tutoring Application which is self sufficient • Generates Courses, Assessments and Activities by itself • Evaluation of Courses done itself • AI and Prompt Engineering
-Data Engineer (Research Intern)
ARTPARK (IISC Bangalore)
• Performed thorough data cleaning to eliminate duplicate, missing, and inconsistent entries in the dengue dataset. • Conducted exploratory data analysis (EDA) to identify outliers, anomalies, and data quality issues. • Worked on designing an end-to-end data processing and modeling pipeline for dengue data, ensuring efficient and reproducible workflows.
-Smart India Hackathon Winner (Dell Technologies)
Python Developer
• Won the finale of the Smart India Hackathon, 2022 in collaboration with a dedicated team. • Developed and proposed a highly scalable, multilingual solution for Dell Technologies' problem statement. • Created a conversational chatbot builder specifically designed for the healthcare industry, offering • troubleshooting assistance, training, and problem diagnostics. • Technologies used to make this possible included python, RASA, MongoDB, AWS for S3 and EC2 instances and docker
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