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Neeraj Mathur

@neerajmathur

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AI analyst specializing in prompt engineering, AI security, and ML model validation.

India

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What I'm looking for

I seek roles focusing on prompt engineering, AI security or ML validation where I can apply AI red teaming and VAPT to build safe, production-ready generative AI solutions.

I am an AI analyst with hands-on experience in prompt engineering, AI validation, and model quality assurance, currently working on LLM security and ethical compliance at Zensar Technologies.

I have built supervised ML models, performed extensive EDA, and engineered regression and classification solutions during internships, achieving high prediction accuracy and robust feature engineering outcomes.

My work blends AI red teaming, VAPT, and prompt-fine-tuning techniques (RLHF, chain-of-thought, self-consistency) to improve model safety and performance; I prioritize practical, secure deployments of generative and agentic AI systems.

Experience

Work history, roles, and key accomplishments

Current

Artificial Intelligence Analyst

Current

Zensar Technologies

Oct 2024 - Present (1 year 2 months)

Working as an AI validation engineer and quality analyst for a 100-member prompt engineering team; developed and integrated prompt-engineering methodologies into VAPT frameworks for client-specific LLMs to address security and ethical compliance.

Prompt Engineering Validation Python Docker Model Evaluation

Data Science Intern

Afame Technologies

May 2024 - Jun 2024 (1 month)

Designed a supervised classification model on a flower dataset, performing EDA, feature engineering, and preprocessing to accurately classify species.

Python scikit learn Classification Pandas NumPy data preprocessing

Prompt Engineer

SOUL AI

Sep 2023 - Apr 2024 (7 months)

Collaborated with state-of-the-art AI systems to enhance capabilities using advanced prompt engineering and fine-tuning techniques including RLHF, chain-of-thought, and self-consistency prompting.

Prompt Engineering Chain Of Thought Self Consistency Fine Tuning & Model Tuning Generative AI

Data Science Intern

Exposys Data Labs

Nov 2023 - Dec 2023 (1 month)

Engineered regression algorithms and performed comprehensive EDA to forecast target profit, achieving approximately 90% accuracy.

Regression Modeling Python Pandas scikit learn Forecasting Data Visualization Model Evaluation

Virtual Experience Participant

Cognizant

Aug 2023 - Sep 2023 (1 month)

Completed a virtual program performing consumer needs analysis, data modeling, and model building to produce client-facing recommendations and hands-on ML production exposure.

Data Modeling Interpretation Machine Learning