Khushal Tiwari
@khushaltiwari
AI and data professional specializing in LLM training, data pipelines, and fraud investigation.
What I'm looking for
I am an AI and data professional with hands-on experience in LLM training, data preparation, and large-scale risk investigation at Amazon. I have contributed to labeling, ranking, and evaluating model outputs, automated data pipelines using Python and SQL, and collaborated with ML engineers and stakeholders to improve model performance and data quality.
My background includes detecting and mitigating ecommerce fraud, conducting SQL-driven transaction analysis, and producing actionable investigation reports. I emphasize rigorous data preprocessing, reproducible documentation, and cross-functional problem solving to deliver reliable, high-quality outcomes in dynamic environments.
Experience
Work history, roles, and key accomplishments
I created, refined, and structured high-quality multi-turn conversations between users and AI assistants to train models.
Designed scenarios that simulated real-world reasoning, guiding assistants to use tools to complete tasks.
Worked with RLHF (Reinforcement Learning from Human Feedback) techniques to align models with user preferences, tone, and safety guidelines.
Investigated and eliminated e-commerce risks including payment fraud, account takeovers, and fake reviews, reducing operational loss and improving platform trust; collaborated with legal, product, and operations to resolve complex cases and optimize processes.
Machine Learning Data Associate
Amazon Development Centre
May 2021 - Jul 2022 (1 year 2 months)
Contributed to LLM training and data preparation by labeling, ranking, and evaluating model outputs, automating data pipelines with Python and SQL to improve dataset quality and model performance.
Education
Degrees, certifications, and relevant coursework
G. H. Raisoni College of Engineering & Management
Bachelor of Technology, Computer Science
Completed a Bachelor of Technology in Computer Science with coursework and projects related to software development and computer systems.
VAPM (Almala)
Diploma, Computer Technology
Completed a Diploma in Computer Technology focusing on foundational computing principles and practical technical skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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