MS in Data Science from University of Maryland - College Park (graduated in May 2026, 3.77 GPA). Recently, during internship at Raising the Floor, I built an LLM pipeline that cut metadata audit time by 96 percent and a Qdrant-backed Gemma2 chatbot for assistive technology recommendations.
Recent Projects: 1. Clippy Vision, a local-first AI memory assistant with a 3-stage classification pipeline; 2. Launchway - an AI job application automation platform that got application time under 2 minutes with 86 percent field-fill accuracy. 3. A from-scratch speculative decoding engine studying how DPO alignment affects throughput.
Looking for entry-level AI/ML engineering or backend engineering roles, mainly at funded startups where I can own systems end-to-end.
Remote: Yes
Willing to relocate: Yes (Anywhere in the US)
Technologies: Python, SQL, PyTorch, Scikit-learn, Hugging Face, QLoRA, DPO, RAG, LangChain, LangGraph, Ollama, Pandas, NumPy, PostgreSQL, Redis, Pinecone, Qdrant, FAISS, FastAPI, Docker, AWS
Résumé/CV: https://www.sahil-chordia.com/resume.pdf Email: chordiasahil24@gmail.com
MS in Data Science from University of Maryland - College Park (graduated in May 2026, 3.77 GPA). Recently, during internship at Raising the Floor, I built an LLM pipeline that cut metadata audit time by 96 percent and a Qdrant-backed Gemma2 chatbot for assistive technology recommendations.
Recent Projects: 1. Clippy Vision, a local-first AI memory assistant with a 3-stage classification pipeline; 2. Launchway - an AI job application automation platform that got application time under 2 minutes with 86 percent field-fill accuracy. 3. A from-scratch speculative decoding engine studying how DPO alignment affects throughput.
Looking for entry-level AI/ML engineering or backend engineering roles, mainly at funded startups where I can own systems end-to-end.