Rysn R.

Key Skills

Software

No software listed

Top Subject Matter

LLM fine-tuning and AI agent deployment

RAG-based recommendation system

Top Data Types

Text

3D Sensor

Audio

Top Task Types

Fine-tuning

Function Calling

Freelancer Overview

Machine Learning Intern — AI agent with TTS and LLaMA fine-tuning (CGI Inc.). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Hugging Face and LangChain. Education includes Bachelor of Technology in Computer Science and Engineering (Data Science), CHRIST (Deemed to be University) (2026) and Secondary School Certificate (ICSE), Christ Academy ICSE School (2020). AI-training focus includes data types such as Text and 3D Sensor and labeling workflows including Fine-tuning and Function Calling.

Labeling Experience

Machine Learning Intern — AI agent with TTS and LLaMA fine-tuning (CGI Inc.)

TextFine-tuning

Built and deployed an end-to-end AI agent using text-to-speech capabilities with TTS. Fine-tuned a LLaMA 3B model to improve latency characteristics for downstream AI interactions. Converted the trained model to ONNX and implemented FastAPI authentication for enterprise integration. • Fine-tuning LLaMA 3B using Unsloth • End-to-end AI agent development on Hugging Face • Model conversion for deployment (ONNX) • FastAPI-based authentication design

2025 - 2025

AI Solutions Intern - Ceino Technologies

3D Sensor

Served as an AI Solutions Intern designing a retrieval-augmented generation (RAG) based AI recommendation system. Developed the system workflow using LangChain to connect retrieval, prompt construction, and model inference. Coordinated implementation details to ensure the solution delivered relevant recommendations from external knowledge sources. • Designed a RAG-based recommendation system • Implemented workflows using LangChain • Structured retrieval and generation steps for relevance • Supported integration and testing of the AI solution

2024 - 2025

AI Solutions Intern — RAG-based AI model recommendation system (Ceino Technologies)

TextFunction Calling

Designed a RAG-based AI model recommendation system using LangChain components. Implemented retrieval and generation workflows to surface relevant model suggestions. Configured the pipeline to support iterative AI recommendations based on retrieved context. • RAG system design with LangChain • Retrieval + generation workflow setup • AI model recommendation logic • System integration planning for use in AI solutions

2024 - 2025

Education

Work History