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You will get a one-hour consultation with a generative-AI business application expert.
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Project details
Have a focused conversation with a seasoned NLP / GPT expert with years of experience applying generative transformers to automate or semi-automate many business tasks. Whether you are using the new ChatGPT-like algorithms to interface with customers, looking to improve internal processes, or hoping to create whole new products and services: I can help guide you to success.
The key to any successful machine learning / artificial intelligence project is good data. I can help you understand what the data requirements are, and how to build your team to get the most out of your existing data, collect more data, and to enhance your data.
The key to any successful machine learning / artificial intelligence project is good data. I can help you understand what the data requirements are, and how to build your team to get the most out of your existing data, collect more data, and to enhance your data.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Conversational AI, Natural Language Generation, Sentiment AnalysisAI Development Language
PythonAI Tools
Hugging Face, PyTorch, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-NeoWhat's included
| Service Tiers |
Starter
$150
|
Standard
$700
|
Advanced
$2,600
|
|---|---|---|---|
| Delivery Time | 3 days | 14 days | 45 days |
Number of Revisions | 1 | 3 | 6 |
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 | - | - | - |
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About Alexander
Senior Data & ML Architect | LLM Pipelines, Predictive Analytics
100%
Job Success
Nashville, United States - 5:59 pm local time
Most of what I build involves complex, multi-stage systems with many moving parts. I've architected NLP classification pipelines that process hundreds of thousands of documents through GPU-accelerated RoBERTa (and other LLM) scoring with workflow orchestration and auto-scaling compute. I've built ensemble forecasting engines with Bayesian weighting across decision trees, neural networks, LASSO/Ridge, and boosting methods. I've designed causal inference frameworks using Double Machine Learning to isolate event impacts from confounders, and correlation analysis systems using distance correlation with permutation testing to surface non-obvious relationships in high-dimensional datasets. The common thread across all of it is statistical rigor, production stability, and end-to-end ownership.
My core technical areas: predictive analytics and statistical modeling (time series forecasting, ensemble methods, probabilistic distributions via Monte Carlo simulation, feature engineering on messy operational data), production ML infrastructure (model fine-tuning, batch scoring pipelines, GPU compute management, model quality tracking with F1, MCC, and proper held-out validation), and the full-stack engineering that connects everything. I'm intimately familiar with Python, R, PostgreSQL, FastAPI, AWS (EC2, S3, GPU warm pools), React/Next.js, Docker, and workflow orchestration with Temporal.
I also build with LLMs where they solve real problems I've structured extraction pipelines, fine-tuned classification models, retrieval-augmented architectures. But I treat them as tools in the stack, not the whole story.
As CTO and co-founder at Emtherical, I designed and built the entire technical platform for an emotion-intelligence SaaS from scratch: multi-tenant PostgreSQL architecture, hundreds of fine-tuned LLM classifiers, Temporal-orchestrated GPU scoring workflows, a FastAPI backend with full OpenAPI surface, and a Next.js frontend. Before that, I built forecasting systems, feature discovery pipelines, and analytics platforms for clients in finance, biotech, and enterprise data.
I work best in complex environments where the architecture matters as much as the code, where I can take ownership of both technical direction and execution.
Steps for completing your project
After purchasing the project, send requirements so Alexander can start the project.
Delivery time starts when Alexander receives requirements from you.
Alexander works on your project following the steps below.
Revisions may occur after the delivery date.
Introduction
A brief chat to understand what your expectations are for our consultation engagement.
Schedule the Call
We'll coordinate our schedules to find a mutually agreeable timeframe during which we can chat.