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0901cd231041 P.

0901cd231041 P.

Expert AI Trainer & Full-Stack Software Engineer If you want a few variations depending on what you want to emphasize, here are some alternatives: RLHF & Code Evaluation Expert | Full-Stack Engineer (Best if you want to focus heavily on coding/logic evaluations) AI Data Specialist & Multimodal Systems Engineer (Best if you want to emphasize your work with vision/audio data and Gemini pipelines) * Expert AI Evaluator | Software & Data Science Specialist (Best for highlighting both your MITS and IIT Madras backgrounds)

India flagGwalior, India

Key Skills

Software

No software listed

Top Subject Matter

Here are the areas where my capabilities are strongest:
Technology & Engineering
Software Development: Writing
debugging
explaining code across languages like Python

Top Data Types

VideoVideo
TextText
ImageImage

Top Task Types

Data CollectionData Collection
RoutingRouting
GeocodingGeocoding
Translation/LocalizationTranslation/Localization
Text SummarizationText Summarization
Object DetectionObject Detection

Freelancer Overview

My AI training and data labeling experience is deeply rooted in my work as a software engineer and data science student, where I focus on Reinforcement Learning from Human Feedback (RLHF) and establishing precise cognitive reasoning flows. I specialize in rigorously evaluating complex model outputs—specifically regarding code accuracy, algorithmic logic, and factual grounding—to ensure raw AI inferences are structurally sound and production-ready. In practice, I have actively evaluated and refined multimodal AI pipelines, including building automated data extraction systems using vision models and developing real-time autonomous platforms utilizing advanced LLMs. This hands-on background requires rigorous data validation, edge-case testing, and strict prompt structuring. Consequently, I approach AI training and data labeling with a deep technical understanding of model architectures, response alignment, and failure-mode analysis.

Labeling Experience

Yes, I have prior AI training and data labeling experience

Yes, I have prior AI training and data labeling experience. My experience is rooted in my background as a software engineer and data science student, where I focus on evaluating and refining Large Language Models (LLMs) for complex reasoning and code generation tasks. My specific experience includes: Evaluating Model Reasoning: Assessing and labeling model outputs for logical consistency, code accuracy, and factual grounding to establish precise cognitive reasoning flows. Prompt Engineering & Alignment: Structuring complex prompts and evaluating model responses for alignment, safety, and instruction-following in production-grade AI pipelines. Edge-Case Testing: Conducting rigorous data validation and failure-mode analysis on multimodal AI systems (utilizing models like Gemini 2.5 Flash and Gemini Pro Vision) to ensure raw AI inferences are structurally sound.

Not specified

Education

1

1

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

Company: UNIV LIVE Role: Full Stack Developer Intern Dates: April 2026 - May 2026 Description: Built an AI-powered q

Location not specified
2026 - 2026