Frontier AI, Machine Learning & Data Science

Turn Raw Data & Modern AI Into High-ROI Business Software.

I engineer custom autonomous AI agents, enterprise RAG pipelines, predictive machine learning models, and automated Python data science pipelines for startups and visionary businesses across the US, UK, Europe, and UAE.

Discuss Your AI / ML Project → Explore Core Capabilities
< 150ms Streaming Inference TTFB
99.2% Retrieval Accuracy & Guardrails
100% Private Zero Training on Client Secrets & IP
Full-Spectrum Competency

Production AI, ML & Data Engineering Capabilities

Python 3.12, PyTorch, LangChain, FastAPI & Next.js

Autonomous AI Agents & Tool Calling

Multi-agent systems (LangGraph, CrewAI, AutoGen) capable of dynamic reasoning, task decomposition, external API calling, and structured database mutations using GPT-4o, Claude 3.5 Sonnet, and DeepSeek.

  • Structured Function & Tool Calling
  • Multi-Agent Orchestration & Memory
  • Automated CRM / Workflow Sync
Starting from $1,200 – $3,500

Enterprise RAG & Vector Search

Retrieval-Augmented Generation across your proprietary documents, PDFs, tickets, and SQL records. Hybrid search (Dense + BM25), semantic re-ranking (Cohere), and vector databases for zero-hallucination truth.

  • Pinecone, Qdrant, Chroma, pgvector
  • Semantic Chunking & Re-Ranking
  • Enterprise Strict Access Guardrails
Starting from $1,500 – $4,200

Predictive ML & Statistical Models

Custom supervised and unsupervised predictive pipelines: customer churn forecasting, credit risk scoring, fraud anomaly detection, dynamic pricing algorithms, and sales demand projections.

  • Scikit-Learn, XGBoost, LightGBM, CatBoost
  • Feature Engineering & Cross-Validation
  • Real-Time Inference Microservices (FastAPI)
Starting from $2,000 – $5,500

Deep Learning, Vision & NLP

PyTorch and Hugging Face neural pipelines for specialized business use cases: intelligent invoice/document OCR, named entity extraction (NER), audio transcription (Whisper), and domain model fine-tuning.

  • PyTorch & Hugging Face Transformers
  • Document OCR & Information Extraction
  • Audio & Multimodal AI Pipelines
Starting from $2,500 – $6,000

Automated ETL & Data Pipelines

Reliable automated data infrastructure built with Python (Pandas, Polars, DuckDB). Cleanse messy datasets, automate daily batch updates, deduplicate customer records, and pipeline clean data to warehouses.

  • Lightning-Fast Polars & DuckDB Pipelines
  • Scheduled Batch Ingestion & Cleansing
  • PostgreSQL, Supabase, BigQuery Sync
Starting from $1,400 – $3,800

AI Dashboards & Full-Stack Interfaces

Transform complex AI/ML models into intuitive, client-facing SaaS products. Built with Next.js App Router, real-time WebSocket inference streams, interactive analytics charts, and secure role-based access.

  • Next.js + Tailwind + Vercel AI SDK
  • Real-Time SSE Inference Streaming
  • Interactive Visual Analytics Dashboards
Starting from $1,800 – $5,000
Commercial Validation

High-Impact AI Implementations

Real metrics delivered for founders
FinTech SaaS New York, USA 🇺🇸

Real-Time ML Fraud Anomaly Engine

Engineered an XGBoost + FastAPI microservice evaluating transaction fraud probability in under 18ms. Decreased false declines by 42% and stopped $110,000+ in fraudulent chargebacks in Q1.

-42% False Declines with 18ms Inference
Stack: Python, XGBoost, Redis, FastAPI, Docker
Enterprise Legal / PropTech London, UK 🇬🇧

100,000+ Contract RAG Knowledge Engine

Built an enterprise semantic retrieval system using Qdrant vector database and hybrid search. Legal analysts query complex multi-page commercial leases and receive instant sourced citations with 99.4% factual accuracy.

25 hrs/wk Saved in Manual Contract Review
Stack: LangChain, Qdrant, OpenAI GPT-4o, Next.js
B2B SaaS Toronto, Canada 🇨🇦

Predictive Churn & Automated Intervention

Extracted user product telemetry via automated Polars ETL, trained a gradient-boosted churn scoring model, and triggered real-time Slack and HubSpot retention workflows for at-risk accounts.

+28% Net At-Risk Account Retention
Stack: Polars, Scikit-Learn, LightGBM, Supabase, Celery
Modern AI & Data Engineering Stack

Industry-Standard Tools & Production Frameworks

No toys or fragile wrappers. Built with the robust open-source and frontier models that power Silicon Valley products.

Frontier AI & Agent Frameworks
OpenAI (GPT-4o, o1, o3) Anthropic Claude 3.5 Sonnet DeepSeek R1 / V3 LangChain LangGraph LlamaIndex Ollama (Private Local LLMs) Vercel AI SDK
Machine Learning & Neural Modeling
PyTorch Hugging Face Transformers Scikit-Learn XGBoost LightGBM CatBoost OpenCV
Vector Databases & Embeddings
Pinecone Qdrant ChromaDB pgvector (PostgreSQL) Weaviate Cohere ReRank
Data Science, Backend & Serving
Python 3.12+ Pandas & NumPy Polars & DuckDB FastAPI Next.js 14+ TypeScript Docker & Containerization
Predictable Pricing

AI, ML & Data Science Investment Packages

100% Code & Weight Ownership
Prototype & Validate

AI Agent & RAG MVP

Turn company knowledge into an intelligent streaming assistant or autonomous task workflow.

$1,500 USD
(~ £1,200 GBP / €1,400 EUR)
  • Domain RAG over PDFs, Docs & FAQs
  • Sub-150ms Edge Streaming Interface
  • Vector DB Setup (Pinecone / Qdrant)
  • Hallucination Guardrails & Fallbacks
  • Full GitHub Repo & Environment Secrets
  • Delivery in 5–7 Business Days
Book This Scope →
Most Popular
Production Intelligence

Predictive ML & Data Pipeline

Custom trained machine learning models, automated ETL, and FastAPI microservice integration.

$3,800 USD
(~ £3,000 GBP / €3,500 EUR)
  • Custom Predictive Model (Churn, Fraud, Demand)
  • High-Speed Python ETL (Polars / Pandas)
  • Dedicated FastAPI Production Endpoint
  • Docker Containerization & Cloud Setup
  • Model Validation Metrics & Audit Report
  • Delivery in 2–3 Weeks
Start Predictive Project →
Scale & Enterprise

Full-Stack AI Platform

End-to-end intelligent software suite: custom neural models, multi-agent workflows, and client dashboard.

$6,800+ USD
(~ £5,400 GBP / €6,200 EUR)
  • Multi-Agent Orchestration + Advanced RAG
  • Bespoke Next.js Analytics & Admin Dashboard
  • Automated Background Ingestion & Sync
  • Role-Based Auth, Rate Limiting & Billing
  • Post-Launch Monitoring & Handover Call
  • Delivery in 3–4 Weeks
Request Enterprise Scope →
Clear Answers

AI, ML & Data Science FAQs

We operate under a strict mutual Non-Disclosure Agreement (NDA). When integrating LLMs, we exclusively use enterprise zero-data-retention APIs (OpenAI Enterprise, Anthropic, AWS Bedrock) where vendor agreements explicitly prohibit training on client inputs. If you need 100% on-premise isolation, we deploy private open-weight models (Llama 3, DeepSeek) inside your isolated cloud VPC or local hardware with zero external calls.

A standard chatbot simply generates text responses to prompts. An AI Agent possesses agency and tools: it can query your internal database, fetch live third-party API data, verify information with semantic search, execute calculations, create calendar appointments, and trigger webhooks to complete real business operations autonomously.

Raw data in CSV, Excel, SQL database dumps, or JSON formats is typically sufficient. Part of our engineering engagement includes data auditing, handling missing values, outlier removal, normalization, and feature extraction. We will assess your dataset feasibility within the first 48 hours.

Yes, absolutely. You receive full GitHub repository rights, training notebooks, Dockerfiles, trained model checkpoints/weights, and deployment scripts upon final milestone handover with zero recurring agency license fees.
Technical Feasibility

Let's Build Your AI / ML Solution

Describe your project objectives, data sources, and desired outcomes. You’ll receive an architectural feasibility breakdown and transparent quote within 4 hours.