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Crich V.

Crich V.

AI Intern — Prompting_AI Agent (Conversational Support & Ticketing System)

Philippines flagLaguna, Philippines

Key Skills

Software

No software listed

Top Subject Matter

Agricultural product support and conversational ticketing
Agriculture computer vision (banana leaf disease detection)

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

Function CallingFunction Calling
Object DetectionObject Detection
ClassificationClassification
TranscriptionTranscription

Freelancer Overview

AI Intern — Prompting_AI Agent (Conversational Support & Ticketing System). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenRouter (Mistral, DeepSeek, and OpenChat). Education includes Bachelor of Science, Laguna University (2025). AI-training focus includes data types such as Document, Image, and Text and labeling workflows including Function Calling, Object Detection, and Sentiment Analysis.

Labeling Experience

Junior AI Engineer — Black Sigatoka Early Stage Detection System

ImageImageObject DetectionObject Detection

Developed a computer vision pipeline for early-stage banana leaf disease detection using YOLO. Built and trained a YOLO model for seven disease stages with strict dataset handling, augmentation, and hyperparameter tuning. Deployed the model as a FastAPI inference service with validation, error handling, and Dockerized production deployment. • Prepared dataset with image quality checks, tiling, and stratified train/val/test splits • Trained YOLO12n on a unified 7-class mapping with augmentation and tuning • Implemented FastAPI inference with robust validation and low-latency model caching • Containerized and documented deployment using Docker and Docker Compose

2025 - Present

AI Intern - Leads Agricultural Product Corporation

TextTextClassificationClassificationTranscriptionTranscription

They supported the development of a conversational FastAPI support agent that routed user queries across multiple LLMs. They contributed to intent and tone detection with prompt design and retry or fallback logic for reliability. They also helped implement a ticketing workflow with database integration and supported streaming chat endpoints. • Designed routing logic using FastAPI and LangChain with OpenRouter model providers • Built intent and tone detection pipelines using LLM prompting and robust error handling • Implemented ticket creation workflow and integrated it with MySQL • Assisted with /chat API including word-by-word streaming and cache management endpoints

2025 - 2025

AI Intern — Prompting_AI Agent (Conversational Support & Ticketing System)

DocumentDocumentFunction CallingFunction Calling

Built an AI-powered support agent that routes user queries and automates ticket creation. Implemented intent and tone detection using LLM prompt design with retry/fallback behavior for robust classification. Assisted in providing a /chat API experience with streaming responses and cache management endpoints. • Routed queries by intent and tone across multiple LLMs via OpenRouter • Designed and contributed to the intent/tone detection pipeline • Implemented ticketing workflow fields (ID, priority, category, status) with database integration • Added conversational API support including optional word-by-word streaming

2025 - 2025

Education

L

Laguna University

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2025

Work History

L

Leads Agricultural Product Corporation

Junior AI Engineer

Laguna
2025 - Present
L

Leads Agricultural Product Corporation

AI Intern

Laguna
2025 - 2025