Santosh P.

Key Skills

Software

Other

OpenCV AI Kit (OAK)

Telus

Google Cloud Vertex AI

AWS SageMaker

Top Subject Matter

Conversational AI training for voice assistants (multilingual STT/TTS, intent classification, response evaluation)

Chatbot conversational dataset annotation and evaluation (intent tagging, dialogue categorization, multilingual testing)

Structured dataset validation and quality assurance for analytics (data cleaning, normalization, anomaly detection)

Top Data Types

Text

Document

Audio

Top Task Types

Classification

Question Answering

RLHF

Transcription

Fine-tuning

Text Generation

Text Summarization

Freelancer Overview

Experienced AI and Data Labeling professional with 5+ years of expertise in conversational AI training support, STT dataset processing, response evaluation, and quality-focused data workflows. Skilled in text and code annotation, classification, evaluation, rating, and validation tasks for AI/ML systems. Hands-on experience working with Deepgram, ElevenLabs, and LLM-based platforms to improve AI model accuracy and conversational performance. Strong background in handling structured and unstructured datasets, ensuring data quality, and supporting scalable AI training pipelines. Holds a B.Tech from Siksha 'O' Anusandhan University and a Full Stack Data Science Certification from iNeuron.ai.

Labeling Experience

Software Engineer – AI (Conversational AI model training support, STT dataset work, response evaluation)

Text

Validated AI-generated responses and conversational flows to support conversational AI model training. Reviewed speech-related conversational datasets and performed response evaluation for voice assistants. Ensured multilingual interaction data quality through preprocessing, formatting, and normalization.• Validated response quality and contextual relevance for conversational flows• Performed intent classification support and response evaluation for voice assistants• Preprocessed, normalized, and formatted multilingual STT/TTS interaction data• Monitored production workflow datasets for output quality

2025 - Present

AI Engineer (Conversational dataset preparation, intent tagging, annotation workflow support)

OtherTextClassification

Built and optimized conversational datasets used for AI chatbot training and evaluation. Conducted intent tagging and dialogue categorization, including multilingual interaction testing. Reviewed AI-generated outputs to ensure quality, consistency, and contextual relevance for training workflows.• Performed intent tagging and dialogue categorization for chatbot datasets• Conducted multilingual interaction testing and dataset evaluation• Reviewed AI outputs for quality, consistency, and contextual relevance• Collaborated on conversational data pipelines and annotation workflows

2025 - 2025

Project Engineer – Data Analytics (Data validation and QA for structured datasets)

Text

Processed and validated large-scale structured government datasets to support analytics reporting. Performed data cleaning, normalization, and quality checks including anomaly detection to maintain dataset integrity. Supported automated data verification workflows for downstream analytics consumption.• Cleaned, normalized, and transformed structured datasets for reporting and analytics• Automated data verification using Excel and Power BI• Performed quality checks and anomaly detection for subsidy distribution data• Maintained accurate reporting datasets for stakeholders

2023 - 2025

Graduate Apprentice (technical testing data management, validation support)

OtherDocument

Organized and maintained structured engineering datasets used for technical testing workflows. Assisted with documentation and validation of instrumentation data for analysis and reporting needs. Supported generation of analytical reports from technical testing datasets. • Managed technical testing data and generated analytical reports • Organized and maintained structured engineering datasets for testing workflows • Assisted in documentation and validation of instrumentation data • Supported validation activities within technical testing processes

2022 - 2023

Space Silicon Engineer (Software Testing & Automation) (test-data verification and QA)

Other

Created and validated structured test datasets for avionics system testing and quality assurance. Documented anomaly reports and verified system-level outputs and logs with cross-functional teams. Supported automated testing and QA using Python scripts. • Created structured test datasets and documented anomalies • Supported automated testing and quality assurance with Python • Verified system-level outputs and logs • Conducted software validation activities tied to dataset verification

2022 - 2022

Education

Work History