Daniel Amirtharaj
Agentic AI & Full-Stack
MS Computer Science and Engineering student at Santa Clara University specializing in AI agents and full-stack development. I've built innovative AI-powered applications using Python, Next.js, and modern ML frameworks, with expertise in LLM evaluation, RAG systems, and scalable web platforms.
Skills & Technologies
Technologies and tools I work with
AI/ML
All Skills
Featured Projects
Some things I've built recently
AI News Curator
A personalized news aggregation platform with real-time updates, bookmarking, and customizable user profiles, built using Spring Boot and a modern frontend framework.
Code Documentation RAG
A system using Langchain, and Pinecone to provide LLMs with up-to-date code documentation for accurate code generation. Includes scraping, chunking, embedding, and similarity search.
Branch Prediction Analysis
Simulated and analyzed 1-bit, 2-bit, and gshare branch predictors using real branch trace files. Evaluated misprediction rates to compare performance.
SCU Course Planner
A course planning web app for SCU students with requirement tracking, co-requisite detection, and authentication via Firebase.
PharmaSure
A RAG pipeline using LLaMA 3.2 and Pinecone to summarize FDA regulatory documents. Integrated with Google OAuth and Drive API for clinical data access.
Konoha Notes
A lecture recording and summarization tool using Llama 3.1 and GROQ API.
RxTrack
An OCR-based app that reads prescription labels for elderly users. Uses PyTesseract and OpenCV with a Flask backend and Flutter frontend.
Pipeline CPU Simulation
Designed and simulated a pipelined CPU in Verilog using Xilinx Vivado. Debugged timing diagrams and validated performance with benchmark programs.
FuelFocus
A SwiftUI app to compute cost-effective driving routes based on gas prices. Backend in Flask using INRIX API. Optimized fuel stops for efficiency.
HelpingHand
SwiftUI app for Narcan distribution with a chatbot and map interface. Used Auth0 for secure ordering and GPT-3 for medical Q&A.