You will get End-to-End Machine Learning, NLP & AI Pipeline Engineering
Project details
Are you looking to move beyond basic API wrappers and build production-grade AI? Many businesses struggle with solutions that work in notebooks but fail in real-world deployment. I specialise in bridging the gap between advanced academic research and scalable industry solutions. As a Senior AI Engineer and PhD researcher working on Generative Engine Optimisation (GEO) and multi-agent AI systems, I design custom, reliable AI architectures focused on accuracy, security, and measurable ROI.
Every solution is built from scratch to integrate seamlessly with your workflow. My expertise includes Generative AI and custom LLM systems, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent orchestration for grounded outputs. I also develop computer vision solutions such as object detection, image analysis, and predictive analytics, along with advanced ML models using PyTorch and TensorFlow.
I support full MLOps and deployment, moving models into secure, containerised production environments. With nearly a decade of experience, I help businesses design scalable AI systems that turn data into a competitive advantage.
Every solution is built from scratch to integrate seamlessly with your workflow. My expertise includes Generative AI and custom LLM systems, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent orchestration for grounded outputs. I also develop computer vision solutions such as object detection, image analysis, and predictive analytics, along with advanced ML models using PyTorch and TensorFlow.
I support full MLOps and deployment, moving models into secure, containerised production environments. With nearly a decade of experience, I help businesses design scalable AI systems that turn data into a competitive advantage.
Machine Learning Tools
MATLAB, NumPy, OpenCV, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, Stanford CoreNLP, TensorFlowWhat's included
| Service Tiers |
Starter
$75
|
Standard
$1,000
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 2 days | 21 days | 40 days |
Number of Revisions | 0 | 0 | 0 |
Number of Model Variations | 0 | 1 | 1 |
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
+$25 - $250About Nini
AI & Machine Learning Engineer | Generative AI, RAG & Custom LLMs
Kuah, Malaysia - 12:38 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++.
💡 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.
Requirement Analysis
In this step, I analyze the requirements and design the architecture of the AI-powered app. I make sure that I understand the client's needs and goals, and that the app is feasible and scalable.
Development
In this step, I develop the front-end and back-end of the app using the chosen technologies. I write clean and efficient code that follows the best practices and standards of web and mobile development.