Tatiana N.

Key Skills

Software

Other

Top Subject Matter

Edge AI computer vision (fall detection, anomaly monitoring, embedded inference)

Production AI-integrated enterprise systems (CRM data pipeline, API integration)

Edge embedded AI with generative model integration

Top Data Types

Image

Top Task Types

Function Calling

Text Generation

RLHF

Freelancer Overview

ML Engineering Intern — Oculi AI (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, American University of Beirut (2027) and Exchange Semester, University of Sydney (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Function Calling.

Labeling Experience

ML Engineering Intern — Oculi AI (Remote)

Other

Worked on SPU-based computer vision pipelines for edge AI fall detection and conveyor belt anomaly monitoring, validating real-time detection models for production operation on resource-limited devices. Focused on hardware-software co-design to optimize model inference under constrained edge conditions. Contributed to deployment-aligned testing and evaluation for continuous production readiness. • Real-time validation of detection models on limited edge hardware • Edge AI pipeline development using Magenta simulator • Hardware-software co-design for privacy-preserving distributed AI deployment • Production readiness checks for operational accuracy and latency

2026 - Present

Edge AI Embedded System — Jumanji Board Game (University of Sydney)

OtherText Generation

Built an AI-integrated embedded system using ESP32, Raspberry Pi, multiple sensors, servos, and BLE, integrating Gemini API for real-time dynamic content generation. Designed and implemented the embedded application logic to support ongoing edge interaction. Developed a working edge AI system centered on integrating the generative model into live device behavior. • Integrated Gemini API into an embedded edge system • Implemented real-time dynamic content generation workflows • Coordinated multi-sensor and actuator inputs for edge interaction • Built and tested embedded connectivity via BLE

2025 - 2025

AI Integration Intern — Student World (Sydney)

OtherFunction Calling

Debugged and repaired production CRM data pipeline integrations involving a StudyLink API, tracing data flow and identifying failures affecting AI-integrated enterprise system operation. Collaborated with the CRM developer to restore correct API behavior under production conditions. Performed live debugging as part of maintaining working AI-integrated services. • Diagnosed CRM pipeline failures by tracing data flow on Azure • Repaired StudyLink API integration with production constraints • Debugged live systems in AI-integrated enterprise context • Collaborated cross-functionally with CRM developer to restore service

2025 - 2025

Run Coach — Edge Inference on Cloudflare Workers AI (Independent)

OtherRLHF

Deployed a live Llama 3.3 70B-powered run coach on Cloudflare edge infrastructure to enable inference at the edge with minimal centralized compute. Implemented and operated the model-serving setup as part of an end-to-end edge inference experience. Focused on making generative AI available in real time through distributed edge deployment. • Deployed Llama 3.3 70B run coach for edge inference • Set up Cloudflare edge infrastructure for low-centralized-compute inference • Supported live, real-time coaching interactions • Operated edge deployment for continuous availability

2025

Education

Work History