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Preyash KharvaPK
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Preyash Kharva

@preyashkharva

Conversational AI tutor and data quality specialist for LLM improvement.

United States
Message

What I'm looking for

I seek a full-time hybrid role in San Francisco focusing on improving LLM performance, data quality, and safety through annotation, evaluation, and cross-functional collaboration.

I am a detail-oriented AI tutor and data specialist with hands-on experience training and evaluating large language models such as Gemini and GPT. I focus on annotation, data labeling, and quality assurance across text, image, and multimodal datasets to improve model comprehension and safety.

At NamanSoft I progressed from Data Analyst to Generative AI Engineer, collaborating with product and engineering teams to produce high-quality datasets for fine-tuning and to evaluate model accuracy and conversational naturalness. I act as a bridge between engineers and annotators to ensure labeling precision and consistency.

In roles with Outlier AI, Handshake AI (MOVE Fellowship), and Abaka AI I performed instruction-following evaluations, developed rubrics for safe conversational boundaries, and audited complex linguistic structures to enhance alignment, factuality, and bias mitigation. I provide structured scoring and linguistic insight to refine model outputs.

I also build applied projects and automation solutions — for example, an AI voice-and-tool assistant integrating GPT, ElevenLabs, and n8n, and automation tooling using Python and SQL for data reporting. I hold multiple generative AI and cloud certifications and seek hybrid roles where I can advance model safety, data quality, and conversational performance.

Experience

Work history, roles, and key accomplishments

AA

AI Trainer & Quality Consultant

Abaka AI

Jan 2025 - Dec 2025 (11 months)

Labeled and audited text, image, and video datasets to improve model coherence and adherence to guidelines, annotating complex linguistic structures for training data quality.

HA

AI Researcher

Handshake AI

Jan 2025 - Dec 2025 (11 months)

Contributed to safety and model evaluation efforts in the MOVE Fellowship cohort, developing rubrics and testing LLMs for reasoning robustness and bias mitigation.

Education

Degrees, certifications, and relevant coursework

California State University, Fullerton logoCF

California State University, Fullerton

Master of Science, Computer Engineering

Master of Science in Computer Engineering focused on advanced topics in computing and engineering principles.

Gujarat Technological University logoGU

Gujarat Technological University

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering in Computer Engineering covering core computer engineering concepts and systems.

Tech stack

Software and tools used professionally

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Preyash Kharva - AI Model Trainer - Outlier AI | Himalayas