AI systems
LLM applications, agentic workflows, retrieval, evaluation, and human-review controls.
RECRUITER BRIEF / REVIEWED INFORMATION
Haseeb Khan · Data Scientist & AI/ML Engineer · Canada
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CORE STRENGTHS
LLM applications, agentic workflows, retrieval, evaluation, and human-review controls.
Statistical modeling, machine learning, data engineering, MLOps, and analytical workflows.
AWS serverless architecture, FastAPI, Docker, Terraform, CI/CD, and production-minded controls.
Evidence provenance, explicit limitations, evaluation, privacy boundaries, and responsible decision support.
Concise grouping of the specialties in Haseeb’s approved public profile; capability evidence is linked through the selected projects below.
SELECTED EVIDENCE
A React/TypeScript interface, Node.js/TypeScript Claude agent, and Python retrieval service over DuckDB and ChromaDB.
Locally exercised with live model calls; an operating AWS deployment is not verified.
Independent research into policy analysis, evidence provenance, explicit assumptions, validation, and human oversight.
In development: independent research project with private implementation.
A Python/FastAPI and DuckDB/dbt research application combining fraud-model evaluation, Bedrock narrative drafting, and human-review controls.
Locally runnable portfolio/research project; current documentation says it is not publicly deployed.
EXPERIENCE
Accenture
KPMG
British Airways
EDUCATION
Memorial University of Newfoundland
Forman Christian College
Education and experience are supplied by Haseeb’s approved profile and have not been independently verified with the institutions or employers.
APPROVED HIRING INFORMATION
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PRIVATE JOB-DESCRIPTION REVIEW
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