
Ali Khan
@alikhan20
I build production LLM, RAG, and MLOps systems that improve hiring, search, and model reliability.
What I'm looking for
I've built LLM-powered hiring systems at CVetted, including resume parsing, candidate-job matching, and RAG semantic search that cut manual recruiter screening time by roughly 30%.
Previously at Labelbox, I developed data-centric ML pipelines, active-learning workflows, and model-in-the-loop pre-labeling that reduced annotation turnaround time by approximately 25%. I also created quality-assurance tooling to detect labeling drift before it affected downstream training.
At Weights & Biases, I improved experiment tracking, model registry workflows, hyperparameter sweeps, and monitoring dashboards. My tooling shortened tuning cycles by roughly 30% and helped teams identify instability and performance degradation early.
I'm focused on production AI applications spanning LLM fine-tuning, RAG, AI agents, semantic search, vector databases, FastAPI services, cloud deployment, and end-to-end MLOps.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
CVetted
Jan 2025 - Present (1 year 8 months)
Built and deployed an LLM-powered resume parsing and candidate-job matching engine, cutting manual screening time by roughly 30%. Designed a RAG-based semantic search system using Pinecone and LangChain, and fine-tuned LLMs for skill extraction and candidate scoring.
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences
Bachelor of Science, Computer Science
Bachelor of Science degree from the National University of Computer and Emerging Sciences.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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