You will get a custom Machine Learning Infrastructure with Predictive Analytics
Project details
I deliver production-ready Machine Learning Infrastructure that converts high-volume data streams into actionable, revenue-ready intelligence through an Architecture-First approach. By focusing on the underlying Ontology and Taxonomy of your data, I build scalable systems, like the Time-Series Forecasting engines and Predictive Maintenance pipelines I’ve developed for high-stakes industrial and EdTech environments. Having collaborated with Stanford PhD researchers and engineered secure high-concurrency pipelines for PayRemit, I ensure that every model, whether it's a deep-learning anomaly detection system or a RAG-based LLM ecosystem, is mathematically sound, observable, and built for 95%+ accuracy.
The final delivery provides a sophisticated Intelligence Ecosystem that integrates Python-based ML logic with high-performance Node.js APIs for seamless enterprise scaling. Instead of a black-box solution, you receive a transparent infrastructure featuring LLM Observability—similar to my work on Quantic and Cortin—allowing for real-time monitoring of latency, token usage, and model health.
The final delivery provides a sophisticated Intelligence Ecosystem that integrates Python-based ML logic with high-performance Node.js APIs for seamless enterprise scaling. Instead of a black-box solution, you receive a transparent infrastructure featuring LLM Observability—similar to my work on Quantic and Cortin—allowing for real-time monitoring of latency, token usage, and model health.
AI Development Type
Deep Learning, Knowledge Representation, Recommendation SystemAI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, Keras, MLflow, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 45 days |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | ||
Source Code | - | ||
Taxonomy |
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AZ
Angela Z.
Jan 26, 2026
AI Chatbot for Telegram
Basil Jilani is an excellent freelancer very professional, responsive, and technically strong. He delivered a stable Telegram AI chatbot with clean code and smooth deployment. Communication was clear throughout, and he understood requirements quickly. Highly recommended I’d definitely work with him again.
RW
Rachel W.
Jan 26, 2026
Senior Python Developer – AI Document Schema Discovery & Extraction
Basil Jilani delivered outstanding work on this project. He showed deep expertise in Python and LLM-based document extraction, implemented clean architecture, and handled schema discovery with impressive accuracy. Communication was clear, timelines were respected, and the final solution was robust and production-ready. Basil is truly a high-level engineer highly recommended for complex AI backend projects.
JM
John M.
Jan 26, 2026
AI Voice Web App MVP (Next.js + Python)
Basil Jilani was awesome to work with fast, reliable, and highly skilled. He delivered the Voicelyt MVP smoothly, handled Next.js + Python integration perfectly, and made smart product decisions to keep things lean and on track. Communication was excellent and everything was production-ready. Highly recommended I’d gladly work with Basil again.
About Basil
Data Analyst | Excel & Sheets Dashboards + Python Data Cleaning
100%
Job Success
Sydney, Australia - 4:53 am local time
I specialise in two things:
Excel & Google Sheets dashboards: If you have sales data, KPIs, inventory numbers, or any business data sitting in spreadsheets, I'll build you a clean dashboard that updates automatically and actually answers your questions. No more digging through tabs to find what you need.
Survey data analysis & reporting: If you've run a survey (customer feedback, employee engagement, market research, academic study) and now have hundreds or thousands of responses to make sense of, I'll clean the data, run the analysis, and deliver a clear report with the insights that matter.
My edge: I use Python (pandas) behind the scenes to handle large or messy datasets that pure-Excel freelancers struggle with — then deliver the final dashboard or report in the tool you actually want to use (Excel, Google Sheets, Looker Studio, or PDF report).
What you get when you work with me:
• Dashboards that are easy to read and easy to update, not over-engineered
• Honest communication, I'll tell you upfront if something won't work or will take longer than expected.
• Fast turnaround, I'm available 30+ hours a week and respond within a few hours
• Clear documentation so you can use what I build without coming back to me every time
Tools I use: Excel (formulas, pivot tables, Power Query), Google Sheets (including Apps Script for automation), Python with pandas for heavier data cleaning, SQL when needed, Looker Studio for connected dashboards.
About me: I'm completing a Bachelor's in Business Analytics at Macquarie University, which means I bring both the technical side (cleaning, building, automating) and the analytical side (knowing what questions to ask of the data and how to present findings clearly).
If you have data that needs to make sense, send me a message describing what you're working with and what you'd like to get out of it. I'll tell you honestly whether I can help and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Basil can start the project.
Delivery time starts when Basil receives requirements from you.
Basil works on your project following the steps below.
Revisions may occur after the delivery date.
Technical Discovery & Ontology Mapping
I perform a deep dive into your data's taxonomy and ontology. We define the relationships between entities to ensure the ML model understands the context of your business, not just raw numbers.
Architecture Blueprinting & Model Selection
Before coding, I design the system architecture. This includes selecting the right frameworks (TensorFlow/PyTorch) and designing the RAG or Predictive pipeline for high-concurrency scaling.