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Mariano Rozanski

Mariano Rozanski

Senior Software Architect & AI Integration Lead

USA flagDenver, Usa
$60.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Software engineering & SaaS platforms
AI engineering, LLM tools & agents
Digital provenance & asset authenticity (NFTs, blockchain)

Top Data Types

TextText
AudioAudio

Top Task Types

Classification
Prompt Response Writing SFT
Audio Recording
Question Answering
Transcription
Evaluation Rating
Function Calling

Freelancer Overview

AI-Driven Provenance and Verification (Technical Product Manager / Engineering Manager at Atomic Form). Brings 26+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Associate Degree in Systems Analysis, O.R.T. Buenos Aires (2001) and Bachelor of Arts in Social Communications, University of Buenos Aires (1998). AI-training focus includes data types such as Text and Audio and labeling workflows including Classification, Prompt + Response Writing (SFT), and Audio Recording.

IntermediateEnglishSpanish

Labeling Experience

Audio Data Labeling for AI Voice Coach (CTO, The Language School)

AudioAudio Recording
Led the implementation of an AI conversation partner integrating real conversational pattern data for language learners. Oversaw recording and annotation of instructional audio datasets for supervised AI voice coaching. Managed and labeled structured audio sessions for curriculum tracking and proficiency evaluation. • Coordinated audio data collection for language learning use cases • Designed labeling workflows for instructional and evaluation audio • Supervised quality and accuracy of AI-generated voice content • Integrated labeled audio data into conversational AI feedback loops

Led the implementation of an AI conversation partner integrating real conversational pattern data for language learners. Oversaw recording and annotation of instructional audio datasets for supervised AI voice coaching. Managed and labeled structured audio sessions for curriculum tracking and proficiency evaluation. • Coordinated audio data collection for language learning use cases • Designed labeling workflows for instructional and evaluation audio • Supervised quality and accuracy of AI-generated voice content • Integrated labeled audio data into conversational AI feedback loops

2026 - Present

LLM Prompt and Response Data Collection (Founder/Fractional CTO, DotSur)

TextPrompt Response Writing SFT
Developed real-time LLM voice and text capabilities as part of product strategy for an edtech platform. Built curriculum-grounded retrieval-augmented generation (RAG) pipelines to support conversational AI and AI tutoring experiences. Oversaw collection and curation of text prompts, responses, and dialogue for supervised fine-tuning and evaluation. • Defined annotation guidelines for generating and labeling dialogue data • Supervised prompt-response collection for RAG and SFT • Evaluated AI-generated responses for accuracy and instructional quality • Managed datasets for continual LLM improvement and curriculum alignment

Developed real-time LLM voice and text capabilities as part of product strategy for an edtech platform. Built curriculum-grounded retrieval-augmented generation (RAG) pipelines to support conversational AI and AI tutoring experiences. Oversaw collection and curation of text prompts, responses, and dialogue for supervised fine-tuning and evaluation. • Defined annotation guidelines for generating and labeling dialogue data • Supervised prompt-response collection for RAG and SFT • Evaluated AI-generated responses for accuracy and instructional quality • Managed datasets for continual LLM improvement and curriculum alignment

2017 - Present

AI-Driven Provenance and Verification (Technical Product Manager / Engineering Manager at Atomic Form)

TextClassification
Integrated AI-driven features to automate provenance verification workflows for NFT digital assets. Used AI to reduce manual review and labeling tasks needed to classify digital asset authenticity. Supervised implementation of automated classification models for digital asset origin and history verification. • Designed pipeline using AI and cloud-based infrastructure • Labeled digital provenance records and NFT metadata for supervised learning • Classified digital assets for authenticity and fraud detection • Reduced human review workload using automated model inference

Integrated AI-driven features to automate provenance verification workflows for NFT digital assets. Used AI to reduce manual review and labeling tasks needed to classify digital asset authenticity. Supervised implementation of automated classification models for digital asset origin and history verification. • Designed pipeline using AI and cloud-based infrastructure • Labeled digital provenance records and NFT metadata for supervised learning • Classified digital assets for authenticity and fraud detection • Reduced human review workload using automated model inference

2024 - 2025

Education

O

O.R.T. Buenos Aires

Associate Degree in Systems Analysis, Systems Analysis

Associate Degree in Systems Analysis
1999 - 2001
U

University of Buenos Aires

Bachelor of Arts in Social Communications, Social Communications

Bachelor of Arts in Social Communications
1996 - 1998

Work History

T

The Language School

Chief Technology Officer

Denver
2026 - Present
S

String Authority

Founder

N/A
2025 - Present