You will get Agentic AI Development for Various Use Cases (Llamaindex + Gradio + etc.)
Project details
I have experience in multiple AI projects for various use-cases, do not be afraid to reach out with yours! May it be PDF documents, JPG images, websites, agentic AI has a lot of potential due to its nature of modularizing handling complex use-cases. Let's talk business and get it done.
AI Algorithms
Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, Variational Autoencoder, YOLOAI Applications
AI Chatbot, AI Text-to-Speech, AIOps, Automatic Speech Recognition, Facial Recognition, Image Recognition, Machine Translation, Natural Language Understanding, Sentiment Analysis, Speech Synthesis, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, LLaMA, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code | - | - |
Frequently asked questions
About Ryan
AI & ML Engineer
Jakarta, Indonesia - 12:01 pm local time
I’ve led and contributed to projects across industries, including:
1. Document Intelligence – Built OCR + LLM pipelines for multilingual translation (90%+ accuracy) and insurance document verification (YOLOv8 + LLM).
2. Financial AI – Designed a hierarchical multi-agent DRL system for crude oil futures trading, leveraging A2C, PPO, and DDQN, evaluated with Sharpe Ratio.
3. Few-shot Learning & Semantics – Developed a semantic news understanding system using entailment-based methods (accuracy: 93.1%) to support trading intelligence.
4. Robotics & Logistics – Researched multi-agent path planning to optimize order throughput and reduce congestion in robotic mobile fulfillment systems (NetLogo + Python).
5. GenAI & LLMOps – Built and deployed GenAI Agentic systems (LangGraph, LlamaIndex, FastAPI), with vector search (PGVector) and scalable endpoints on AWS.
6. Data & Dashboards – Maintained daily product dashboards (Metabase), designed SQL queries 10x faster, and created ERDs to support BI teams.
I excel at bridging cutting-edge AI research with practical deployment—whether you're looking to build smarter automation, develop ML pipelines, or bring LLMs into your product stack.
Steps for completing your project
After purchasing the project, send requirements so Ryan can start the project.
Delivery time starts when Ryan receives requirements from you.
Ryan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis
From your request, I will map out a flowchart to form a better understanding of the agentic nature needed to answer the use case. Depending on the form of the data, some sort of processing in the ingestion process might be needed.
Model Development
Begin to develop the agentic AI, based on the previously mentioned tiers.