
Maria Hakak
@mariahakak
I lead AI/LLM QA operations and scalable ML data-quality workflows.
What I'm looking for
At Innodata, I lead QA operations for AI/LLM quality projects supporting SpaceX and Anthropic, managing task allocation, team performance, annotation standards, and stakeholder reporting.
I build SOPs, benchmark model outputs, and run RLHF, prompt-testing, multimodal QA, and data-validation workflows to maintain data integrity across ML training pipelines. I use Python, Pandas, NumPy, and Excel to extract, structure, analyze, and report on large-scale engineering datasets.
Previously, I evaluated AI-generated outputs and built predictive data-science models for operational and customer datasets. I bring mechanical engineering context to quality systems across manufacturing, robotics, automation, and generative AI.
Experience
Work history, roles, and key accomplishments
Led QA team operations as Quality Assurance Lead, overseeing daily operations, task allocation, and team performance. Defined SOPs and annotation protocols, managed end-to-end QA for ML training data, and conducted RLHF workflows and LLM output evaluation.
Conducted data analysis and quality checks on AI-generated outputs, identifying inconsistencies and edge cases. Validated and structured large-scale datasets for machine learning applications and applied LLM evaluation frameworks.
Data Science Intern
Defoy Innovation Solutions Pvt Ltd
Jun 2025 - Oct 2025 (4 months)
Analyzed customer and operational datasets using Python to surface actionable business trends. Built and evaluated predictive models for key business metrics.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Srinagar
B.Tech, Mechanical Engineering
2021 - 2025
Pursued a Bachelor of Technology in Mechanical Engineering from December 2021 to August 2025.
IBM
Python for Data Science and Machine Learning, Data Science
Completed the Python for Data Science and Machine Learning certification via Coursera in November 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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