<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: buvanipai</title><link>https://news.ycombinator.com/user?id=buvanipai</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 02 May 2026 02:23:10 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=buvanipai" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by buvanipai in "Ask HN: Who wants to be hired? (May 2026)"]]></title><description><![CDATA[
<p>Location: United States<p>Remote: Yes<p>Willing to relocate: Open to Remote, Hybrid, and In Person roles<p>Technologies: Python, PyTorch, LangChain, FastAPI, ChromaDB, PostgreSQL, Docker, Google Cloud Run, AWS, GCP, React.js, SQL, spaCy, NetworkX<p>Résumé/CV: <a href="https://buvanipai.vercel.app/Buvani_Pai_Resume.pdf#view=FitH" rel="nofollow">https://buvanipai.vercel.app/Buvani_Pai_Resume.pdf#view=FitH</a><p>Portfolio: <a href="https://buvanipai.vercel.app/" rel="nofollow">https://buvanipai.vercel.app/</a><p>Email: buvanipai@gmail.com<p>MS CS (AI/ML) — Northwestern '24 | Currently: AI/ML Engineer<p>Building real-time voice AI pipelines (sub-800ms latency) and RAG systems at Bhuvi IT. Previously shipped distributed 8-GPU training at Argonne National Lab (2TB astronomical data, 1 week → 20 hours) and graph-based entity resolution (0.96 F1) as standalone projects. Comfortable across the full stack from model training to serverless cloud deployment.<p>Open to ML Engineering, Applied AI, AI Infrastructure, Software Engineering or Data Scientist roles.</p>
]]></description><pubDate>Fri, 01 May 2026 15:19:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=47975838</link><dc:creator>buvanipai</dc:creator><comments>https://news.ycombinator.com/item?id=47975838</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47975838</guid></item></channel></rss>