You will get Enterprise LLM, RAG & Multi-Agent AI Architect
Project details
Moving AI from Experimental Hype to Production-Ready Architecture
Are you looking to integrate scalable, reliable, and secure AI into your business? Many organizations struggle to move machine learning models from experimental notebooks into real production systems. I specialize in designing advanced AI solutions that deliver measurable results by combining academic research with industry best practices.
My expertise includes Generative AI and LLM orchestration, such as custom Retrieval-Augmented Generation (RAG) pipelines, multi-agent architectures, and models tailored to your data. I also help businesses structure their AI systems to improve accuracy and reliability in generative search environments.
In addition, I develop computer vision and analytics solutions using modern techniques like object detection and visual perception systems. I support end-to-end MLOps by transitioning models into secure, containerised production environments using frameworks such as PyTorch and TensorFlow.
I provide complete AI pipeline support, from strategic planning and code audits to model development and deployment.
Let’s discuss how we can build a smarter & more secure AI solution!
Are you looking to integrate scalable, reliable, and secure AI into your business? Many organizations struggle to move machine learning models from experimental notebooks into real production systems. I specialize in designing advanced AI solutions that deliver measurable results by combining academic research with industry best practices.
My expertise includes Generative AI and LLM orchestration, such as custom Retrieval-Augmented Generation (RAG) pipelines, multi-agent architectures, and models tailored to your data. I also help businesses structure their AI systems to improve accuracy and reliability in generative search environments.
In addition, I develop computer vision and analytics solutions using modern techniques like object detection and visual perception systems. I support end-to-end MLOps by transitioning models into secure, containerised production environments using frameworks such as PyTorch and TensorFlow.
I provide complete AI pipeline support, from strategic planning and code audits to model development and deployment.
Let’s discuss how we can build a smarter & more secure AI solution!
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, BERT, Deeplearning4j, GitHub Copilot, Google AutoML, Keras, MATLAB, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, RapidMiner, SAS, scikit-learn, SciPy, SQL, Stanford CoreNLP, TensorFlowWhat's included
| Service Tiers |
Starter
$100
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 21 days |
Number of Revisions | 0 | 0 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 1 | 2 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $500About Nini
AI & Machine Learning Engineer | Generative AI, RAG & Custom LLMs
Kuah, Malaysia - 9:08 am local time
I am a Senior AI & Machine Learning Engineer and active PhD researcher specializing in Deep Learning, Computer Vision, and Generative AI. With nearly a decade of experience (since 2017) building end-to-end data architectures, I bridge the gap between cutting-edge AI research and scalable industry solutions.
My expertise spans artificial intelligence, machine learning, natural language processing, computer vision, and large language models. I have experience developing intelligent AI systems across multiple domains, including NLP, vision, and optimization. My current research focuses on advanced LLM architectures, information retrieval, and building reliable AI systems that improve transparency, performance, and real-world applicability.
🔥 Core Technical Expertise:
Generative AI & NLP: Architecting custom LLM solutions, Multi-Agent Orchestration, Retrieval-Augmented Generation (RAG), and Generative Engine Optimization (GEO).
Computer Vision: Object detection, 3D spatial computing (NeRFs), image segmentation, and facial recognition using YOLO, GANs, and PyTorch (proven success building accurate customer counting and retail analytics systems).
Deep Learning & Predictive ML: Designing CNNs, LSTMs, and transformer models (BERT, GPT) for anomaly detection, recommendation engines, and time-series analysis.
MLOps & Engineering: Deploying robust, secure, and containerized machine learning pipelines using Python, PyTorch, TensorFlow, Docker, and C++.
đź’ˇ Why Work With Me?
I don't just plug into basic APIs; I architect intelligent systems from the ground up. Whether you need an autonomous agent to process complex documents, a computer vision model to track real-time physical assets, or a secure predictive algorithm, I deliver clean architecture and measurable business impact.
Let’s build an AI solution that actually scales. Click 'Invite to Job' or send me a message to discuss your project!
Steps for completing your project
After purchasing the project, send requirements so Nini can start the project.
Delivery time starts when Nini receives requirements from you.
Nini works on your project following the steps below.
Revisions may occur after the delivery date.
Define the Problem
Identify the task (e.g., classification, regression, segmentation). Set clear objectives and performance metrics.
Dataset Collection
I'll collect the dataset and perform data augmentation to enhance its quality and diversity. This includes techniques like scaling, flipping, and adding noise to improve model performance and generalization.