Uday Bhamre

Key Skills

Software

Appen

CrowdSource

Labelbox

OneForma

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Text

Top Task Types

Computer Programming/Coding

Evaluation/Rating

Fine-tuning

Prompt + Response Writing (SFT)

RLHF

Segmentation

Text Generation

Text Summarization

Transcription

Translation/Localization

Freelancer Overview

I have hands-on experience in data annotation, AI training data evaluation, and transcription, having worked as an AI Trainer (Coding Specialist) at Scale AI and contributed to multiple Appen projects. My work involved reviewing and optimizing AI-generated code, designing high-quality technical prompts, and ensuring consistent, reliable training data across diverse programming languages and NLP tasks. In parallel, I have applied Vibe Coding practices, leveraging AI copilots and autonomous agents to rapidly build and refine production-ready applications, including web-scraping tools and automation workflows. I have also transcribed and labeled multi-speaker Hindi audio and evaluated machine-translated content for accuracy, context, and linguistic quality. With strong attention to detail and proficiency in Python, SQL, Git, C#, and JavaScript, combined with a solid software development background, I specialize in producing high-quality datasets and AI-assisted solutions for machine learning applications.

Labeling Experience

Karimata - Translation

AppenTextText SummarizationTranslation Localization

I contributed to the Karimata - Translation project by evaluating the accuracy and quality of machine-translated online messages and social media posts, ensuring translations preserved the original meaning and tone.

I contributed to the Karimata - Translation project by evaluating the accuracy and quality of machine-translated online messages and social media posts, ensuring translations preserved the original meaning and tone.

2024

Transcription Translation – Appen

AppenTextEvaluation Rating

During the Transcription Translation project for Appen, I evaluated and rated the accuracy and quality of machine-translated text. I reviewed translations for online messages and social media, ensuring the meaning, tone, and context matched the original source. I delivered consistent and structured feedback, upholding the project's quality standards. • Evaluated the correctness of translations against provided criteria. • Ensured tone, meaning, and style preservation in translated texts. • Reviewed messaging and social content for localization quality. • Consistently met expected throughput and quality measures.

During the Transcription Translation project for Appen, I evaluated and rated the accuracy and quality of machine-translated text. I reviewed translations for online messages and social media, ensuring the meaning, tone, and context matched the original source. I delivered consistent and structured feedback, upholding the project's quality standards. • Evaluated the correctness of translations against provided criteria. • Ensured tone, meaning, and style preservation in translated texts. • Reviewed messaging and social content for localization quality. • Consistently met expected throughput and quality measures.

2025 - 2025

Hindi Audio Transcription Project – Appen

AppenAudioSegmentation

As a Hindi Audio Transcription Project Contributor at Appen, I transcribed and segmented multi-speaker audio content in Hindi. I labeled speakers, applied timestamps, and maintained output consistency per guidelines. I validated audio quality and worked to meet tight delivery timelines. • Segmented audio files, marking speaker turns and conversational shifts. • Labeled content, speakers, and applied precise timestamps as required. • Checked finished transcriptions for adherence to project standards. • Collaborated within the team to achieve volume targets and deadlines.

As a Hindi Audio Transcription Project Contributor at Appen, I transcribed and segmented multi-speaker audio content in Hindi. I labeled speakers, applied timestamps, and maintained output consistency per guidelines. I validated audio quality and worked to meet tight delivery timelines. • Segmented audio files, marking speaker turns and conversational shifts. • Labeled content, speakers, and applied precise timestamps as required. • Checked finished transcriptions for adherence to project standards. • Collaborated within the team to achieve volume targets and deadlines.

2025 - 2025

AI Data Specialist – Computational Statistics (Python)

TextEvaluation Rating

Designed and validated research-style computational statistics problems involving estimation, inference, simulation, and optimization. Used Python libraries such as NumPy, Pandas, SciPy, and SymPy to develop and verify accurate, reproducible solutions. Created complex problem statements requiring multi-step reasoning and non-trivial computational approaches. Performed data analysis, statistical modeling, and simulation-based validation to ensure correctness of outputs. Documented step-by-step solutions with clear explanations, ensuring reproducibility and alignment with quality standards. Evaluated and improved AI-generated solutions, identifying logical, mathematical, and computational errors. Ensured high-quality dataset creation by following strict annotation guidelines and validation frameworks. Worked on real-world statistical workflows, including data distribution analysis, hypothesis testing, and optimization problems. Tech Stack: Python, NumPy, Pandas, SciPy, SymPy, Data Analysis, Statistical Modeling

Designed and validated research-style computational statistics problems involving estimation, inference, simulation, and optimization. Used Python libraries such as NumPy, Pandas, SciPy, and SymPy to develop and verify accurate, reproducible solutions. Created complex problem statements requiring multi-step reasoning and non-trivial computational approaches. Performed data analysis, statistical modeling, and simulation-based validation to ensure correctness of outputs. Documented step-by-step solutions with clear explanations, ensuring reproducibility and alignment with quality standards. Evaluated and improved AI-generated solutions, identifying logical, mathematical, and computational errors. Ensured high-quality dataset creation by following strict annotation guidelines and validation frameworks. Worked on real-world statistical workflows, including data distribution analysis, hypothesis testing, and optimization problems. Tech Stack: Python, NumPy, Pandas, SciPy, SymPy, Data Analysis, Statistical Modeling

2024 - 2025

AI Trainer (Coding Specialist) – Scale AI (Outlier)

Scale AIComputer Code ProgrammingEvaluation Rating

As an AI Trainer (Coding Specialist) at Scale AI (Outlier), I reviewed and evaluated AI-generated code for correctness and best practices. I created and optimized technical prompts, debugging code and providing structured feedback for model improvement. I ensured the production of high-quality, consistent training data aligned with strict guidelines and standards. • Evaluated code for multiple programming languages, identifying edge cases and logical errors. • Analyzed and improved model reasoning and output quality by crafting detailed technical prompts. • Applied evolving quality standards based on reviewer feedback and project needs. • Documented technical feedback and scoring criteria to ensure clarity and consistency.

As an AI Trainer (Coding Specialist) at Scale AI (Outlier), I reviewed and evaluated AI-generated code for correctness and best practices. I created and optimized technical prompts, debugging code and providing structured feedback for model improvement. I ensured the production of high-quality, consistent training data aligned with strict guidelines and standards. • Evaluated code for multiple programming languages, identifying edge cases and logical errors. • Analyzed and improved model reasoning and output quality by crafting detailed technical prompts. • Applied evolving quality standards based on reviewer feedback and project needs. • Documented technical feedback and scoring criteria to ensure clarity and consistency.

2024 - 2025

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Education

Work History