You will get Custom AI/ML Model Development
Project details
I bring over 8 years of hands-on experience in developing AI/ML models and solutions, combining academic knowledge with real-world industry expertise. I studied ML and AI under Andrew Ng at Stanford University. My academic journey includes publishing research papers and working on advanced AI projects, showcased on my website.
I recently returned from San Francisco, where I spent the past year studying and working, I gained hands-on industry experience during the height of the AI boom. My focus areas span across ML, AI, and software engineering, which I applied to solve real-world problems through cutting-edge solutions.
One standout project from my portfolio is a brain tumor classification model, which achieved a remarkable 99% classification accuracy on unseen MRI brain scans.
What sets me apart is my combination of academic rigor, industry experience, and a track record of delivering results on challenging AI projects. Whether you’re seeking an end-to-end machine learning pipeline, a custom AI model, or expert-level consulting on AI/ML strategy, I offer a unique blend of expertise and a results-driven approach tailored to meet your specific goals.
I recently returned from San Francisco, where I spent the past year studying and working, I gained hands-on industry experience during the height of the AI boom. My focus areas span across ML, AI, and software engineering, which I applied to solve real-world problems through cutting-edge solutions.
One standout project from my portfolio is a brain tumor classification model, which achieved a remarkable 99% classification accuracy on unseen MRI brain scans.
What sets me apart is my combination of academic rigor, industry experience, and a track record of delivering results on challenging AI projects. Whether you’re seeking an end-to-end machine learning pipeline, a custom AI model, or expert-level consulting on AI/ML strategy, I offer a unique blend of expertise and a results-driven approach tailored to meet your specific goals.
Machine Learning Tools
Azure Machine Learning, Keras, NumPy, OpenCV, pandas, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Sonnet, Stanford CoreNLP, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$75
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 3 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$30About Tom
Software/AI/ML Engineer | LLMs | RAG | Fine-tuning | Custom Solutions
Hamburg, Germany - 6:46 pm local time
I help businesses leverage state-of-the-art AI technologies to solve complex problems and create value. Whether it’s building advanced AI models or integrating existing LLMs I offer tailored solutions designed for scalability and performance. Recently, I returned from San Francisco (Silicon Valley), where I gained hands-on experience during the AI boom, working on projects in AI and software engineering.
âś… My Key Services
• LLMs & RAG Systems: Fine-tuning and integrating large language models (OpenAI, Anthropic, Llama) and building Retrieval-Augmented Generation systems tailored to your data.
• AI/ML Solutions: End-to-end development pipelines, from exploratory data analysis to model deployment.
• Custom Model Development: For specific business needs (e.g., predictive models, classifiers).
• XAI (Explainable AI): Expertise in explainability and transparency of AI models, ensuring trust in your solutions.
• Software Engineering: Full-stack development, API creation, and cloud deployment using modern best practices.
🔧 Tech Stack
• Frameworks: PyTorch (primary), TensorFlow (years of experience), scikit-learn
• LLM Ecosystem: LangChain, Vector stores (Pinecone, Qdrant, Chroma DB)
• Cloud & Deployment: AWS, Azure, Docker, FastAPI, Flask
• Version Control: Git (GitHub)
💬 I offer a free initial consultation to understand your project and recommend the best solution. If you’re looking for a reliable, versatile AI/ML developer who delivers high-quality results, message me, or call me. I’d love to hear about your project and help you achieve your goals!
Steps for completing your project
After purchasing the project, send requirements so Tom can start the project.
Delivery time starts when Tom receives requirements from you.
Tom works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Exploratory Data Analysis (EDA)
Initial analysis of the provided dataset, Identification of key patterns, outliers, and correlations, Visualization of important features to gain deeper insights into the problem, Handling missing values and inconsistencies
Step 2: Data Preprocessing (1)
Data cleaning (e.g., handling missing values, removing duplicates), Feature engineering (e.g., creating new features based on existing data), Feature transformation (e.g., normalization, standardization), Data augmentation (if applicable)