<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Priyadarshi Annupam on Personal Site</title><link>https://darshi1337.github.io/website/</link><description>Recent content in Priyadarshi Annupam on Personal Site</description><generator>Hugo</generator><language>en</language><atom:link href="https://darshi1337.github.io/website/index.xml" rel="self" type="application/rss+xml"/><item><title>About</title><link>https://darshi1337.github.io/website/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://darshi1337.github.io/website/about/</guid><description>1Hi everyone! My name is Priyadarshi, although almost everyone calls me Darshi, a shortened version of my name that has gradually become my preferred name as well.
$$ \LARGE \nabla $$ I was born and brought up in Bhubaneswar, Odisha, India, where I completed my schooling before embarking on a journey nearly 1,300 kms away to pursue my undergraduate studies at IIT (BHU), Varanasi. Admission to the institute came through the JEE Advanced examination, where I secured an All India Rank of 6110.</description></item><item><title>Projects</title><link>https://darshi1337.github.io/website/projects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://darshi1337.github.io/website/projects/</guid><description>1Here is a curated list of research and engineering projects.
Apogee A privacy-first browser extension that performs local AI inference for webpage summarization and contextual question answering. Apogee integrates WebLLM and WebGPU to execute quantized language models directly inside the browser without relying on external APIs. For larger models, it seamlessly falls back to a local Ollama backend powered by a FastAPI server.
$$ \LARGE \nabla $$ Technologies: JavaScript, WebGPU, WebLLM, FastAPI, Ollama, Python Features: In-browser LLM inference, streaming responses, browser extensions, local AI, cross-browser support Repository: https://github.</description></item><item><title>Resume</title><link>https://darshi1337.github.io/website/resume/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://darshi1337.github.io/website/resume/</guid><description>Download PDF Resume 1Detailed record of academic and professional activities.
Education Indian Institute of Technology (BHU) Oct. 2022 -- May 2026 B.Tech in Mechanical Engineering &amp;middot; CGPA: 8.37/10.0 Varanasi, India Central Board of Secondary Education 2020 -- 2022 Senior Secondary (Class XII): 94.6% Bhubaneswar, India Technical Skills Languages: Python, C/C++, JavaScript, SQL Machine Learning &amp;amp; AI: PyTorch, Transformers, Hugging Face, LLMs, RAG, ChromaDB, Fine-Tuning Backend &amp;amp; APIs: FastAPI, Flask, Django, REST APIs Cloud &amp;amp; Tools: AWS, Docker, Git, GitHub, Firebase, VS Code, CI/CD Experience Sirius AI June 2026 -- Present AI Consultant Gurgaon, Haryana Developed RAG applications using Python and vector databases for financial services knowledge retrieval.</description></item></channel></rss>