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Data Science • Data Analysis • Model Training • Deep Learning • AI Automation

I’m a Data Scientist who ships AI into production.

I train models, build deep learning and computer vision systems, and ship them as AI solutions and AI automations that run in the business — not in a notebook. Alongside that: data analysis and dashboards in Power BI, Tableau and Python, and the full-stack product when the model needs one.

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Syed Mujtaba Haider — Data Scientist & AI Engineer
Data → model → productionTrain · Evaluate · Deploy · Automate

Building with

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Pandas
  • NumPy
  • Deep Learning
  • Power BI
  • Tableau
  • Matplotlib
  • YOLO
  • OpenCV
  • FastAPI
  • Django
  • React
  • Next.js
  • TypeScript
  • LangChain
  • LangGraph
  • n8n
  • Docker
  • PostgreSQL
  • MongoDB
  • Neo4j
  • Pinecone
  • Azure
  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Pandas
  • NumPy
  • Deep Learning
  • Power BI
  • Tableau
  • Matplotlib
  • YOLO
  • OpenCV
  • FastAPI
  • Django
  • React
  • Next.js
  • TypeScript
  • LangChain
  • LangGraph
  • n8n
  • Docker
  • PostgreSQL
  • MongoDB
  • Neo4j
  • Pinecone
  • Azure

Data science first

Trained models, not borrowed benchmarks.

My degree is in Data Science and it is still the centre of the work: understanding the data, reporting what it says, engineering the features, training the model, and proving it holds before anything ships.

  1. 01Data & analysisProfiling, cleaning and exploratory analysis — finding the leakage, the imbalance and the signal. Often this stage is the deliverable: a report and a dashboard, no model required.
  2. 02Feature engineeringTurning raw operational data into features a model can learn from, with the transformations reproducible in a pipeline.
  3. 03Model trainingClassical ML and deep learning, trained on my own GPU — architecture choices, hyperparameter tuning and tracked experiments.
  4. 04EvaluationHeld-out validation, the metrics that match the business cost of being wrong, and error analysis on the cases that failed.
  5. 05DeploymentThe model behind an inference API, containerised, monitored, and wired into the product or the automation that uses it.

Data analysis

Digging through the data to answer the question actually being asked — trends, drivers, segments and the caveats that come with them.

Dashboards & BI

Power BI, Tableau, Looker Studio, or Python with Matplotlib, Seaborn, Plotly and Streamlit — whichever your team will actually keep using.

Model training

Classification, regression, forecasting and vision models trained from scratch or fine-tuned from a strong checkpoint.

Deep learning

CNNs, RNN/LSTM and transformer architectures in PyTorch and TensorFlow, including transfer learning and quantised inference.

AI solutions

Complete AI products — computer vision pipelines, RAG assistants and agent systems built around the model and its data.

AI automation

n8n and agent workflows that put the model to work: documents read, records enriched, reports written, CRMs kept current.

Capabilities

One engineer across the whole stack.

Most AI work stalls in the gap between a working notebook and a running product. I cover both ends — the analysis, dashboards and model training at one end, and the automation, deployment and full-stack product it lives inside at the other.

More about me

Data Science

  • Model Training
  • Deep Learning
  • Predictive Modeling
  • Evaluation

Data Analysis

  • EDA
  • Power BI
  • Tableau
  • Python Visualisation

AI Solutions

  • Computer Vision
  • LLMs & RAG
  • AI Agents

AI Automation

  • n8n
  • Agent Workflows
  • API Integrations

Engineering

  • Backend
  • Full Stack
  • Data Pipelines

Production

  • Docker
  • Inference APIs
  • Deployment
  • Cloud

What I build

From trained models to production systems.

Ten service lines led by data science, analysis and model training — combined into complete products, or run standalone when that is what you need.

All services
01

Data Science & Machine Learning

The core of what I do: get inside the data, find what actually predicts the outcome, and train a model that holds up on inputs it has never seen.

  • Exploratory Data Analysis
  • Feature Engineering
  • Classification
  • +6
02

Data Analysis & Dashboards

Making the data say something useful — analysis that answers the question actually being asked, and dashboards a team will still be opening in six months.

  • Exploratory Data Analysis
  • Power BI
  • Tableau
  • +8
03

Deep Learning & Model Training

Neural networks trained properly — architecture selection, transfer learning, fine-tuning and long training runs on my own GPU, then packaged behind an inference API you can call.

  • PyTorch
  • TensorFlow
  • CNNs
  • +7
04

Computer Vision

Vision systems that read the real world: detection and tracking, document and face analysis, and the fraud signals that sit on top of them.

  • Object Detection
  • YOLO
  • OCR
  • +5
05

LLM & Generative AI

Applications built on language models — retrieval-augmented assistants, agents and tool use, grounded in your data rather than model recall.

  • LLM Applications
  • RAG
  • AI Assistants
  • +5
06

AI Automation & Agents

Workflows that remove the manual middle step — email, CRM, content and publishing operations wired together and run by agents.

  • n8n
  • AI Agents
  • API Automation
  • +4
07

Data Engineering & Pipelines

The layer underneath the analysis: pipelines and warehouses that turn scattered operational data into something a dashboard — or a model — can trust.

  • ETL / ELT
  • Data Warehouses
  • SQL
  • +5
08

Backend Development

APIs and services designed to be operated: clear contracts, real validation, sensible auth and jobs that survive failure.

  • Python
  • FastAPI
  • Django
  • +6
09

Full-Stack Development

Complete products — the model, the API and the interface people actually use — shipped as one coherent application.

  • React
  • Next.js
  • TypeScript
  • +4
10

DevOps & Integration

Getting it live and keeping it there: containers, pipelines, deployments and the integrations that connect your stack together.

  • Docker
  • GitHub
  • CI/CD
  • +3

Selected work

Projects, not screenshots.

Vision pipelines, agent systems, automation workflows and data platforms — each with the architecture and the trade-offs written down.

All 26 projects

React Native / Generative AI / Supabase / Stripe

LivePrivate

TradesBrain

A complete cross-platform mobile application for plumbers and electricians. 'Rex', an AI co-pilot, takes a photo or a voice note from the job site and walks the tradesperson through diagnosis step by step, looks up the relevant trade code through a pgvector RAG index, then turns the session into a finalised job report or client quote — behind Supabase auth, Stripe subscriptions and Stripe Identity KYC.

  • React Native
  • Expo
  • TypeScript
  • Supabase
  • pgvector
  • Claude API
  • RAG
  • +3
Read case study

Computer Vision / Deep Learning / Sports Analytics

CricketVision AI

Turns raw cricket video into a structured, queryable per-delivery dataset.

  • Python
  • YOLO
  • PyTorch
  • ByteTrack
  • +4
Read case study

Computer Vision / KYC / Fraud & Forensics

Private

AI ID Verification & Fraud Detection

Identity-document verification combining OCR, face analysis, spoof and deepfake detection.

  • Python
  • PyTorch
  • YOLO
  • OpenCV
  • +3
Read case study2025

Multi-Agent AI / LLM / Developer Tooling

AI Technical Co-Founder Platform

Autonomous agents that take a startup idea from architecture to Docker to production analysis.

  • Python
  • LLMs
  • Multi-Agent Systems
  • AI Agents
  • +2
Read case study

AI Automation / n8n / Content Operations

ContentOps Review Automation

Asana feedback becomes a rewritten, re-illustrated, republished WordPress post — untouched by hand.

  • n8n
  • OpenAI
  • Asana
  • WordPress
  • +2
Read case study

How I work

Four steps from problem to production.

No black boxes. You see the reasoning, the architecture and the trade-offs at every stage.

01

Understand

Understand the business problem, the requirements, the users and the constraints — before a single line of code is written.

02

Design

Design the architecture, the workflow, the data pipeline and the AI approach, with the trade-offs made explicit.

03

Build

Develop, integrate, test and iterate — in visible increments rather than one long silence.

04

Deploy

Ship the solution, document how it works, and stay available for the questions that come after launch.

Infrastructure

Model training runs on my own hardware

An RTX 3080 Ti with 12 GB of VRAM sits on my desk, which means training, fine-tuning and long experimental runs happen locally — without renting cloud GPUs by the hour or passing that cost on to you.

NVIDIA RTX 3080 Ti12 GB VRAM · local training
  • Local training and fine-tuning without hourly cloud GPU cost
  • Fast iteration on detection, vision and deep learning models
  • Local LLM inference and quantised model evaluation
  • Cloud training still available when a job genuinely needs more

Technology

The stack behind the work.

Tools chosen because a project needed them — not collected for a list.

Data Science

Analysis, features, statistics

  • Python
  • R
  • Pandas
  • NumPy
  • SciPy
  • scikit-learn
  • Statsmodels
  • Matplotlib
  • Seaborn
  • Jupyter

Analysis & BI

Dashboards and reporting

  • Power BI
  • Tableau
  • Looker Studio
  • Matplotlib
  • Seaborn
  • Plotly
  • Streamlit
  • Excel

Deep Learning

Model training and inference

  • PyTorch
  • TensorFlow
  • Keras
  • CNNs
  • LSTM / GRU
  • Transformers
  • Transfer Learning
  • Fine-Tuning
  • CUDA / GPU Training

Computer Vision

Detection, OCR, video

  • YOLO
  • OpenCV
  • Pillow
  • EasyOCR
  • Tesseract
  • Object Tracking
  • Pose Estimation

Generative AI

LLMs, RAG, agents

  • OpenAI
  • Claude
  • LangChain
  • LangGraph
  • LlamaIndex
  • RAG
  • Ollama
  • AnythingLLM

Backend

APIs and services

  • FastAPI
  • Django
  • Flask
  • Spring Boot
  • REST APIs
  • Node.js

Frontend

Interfaces

  • React
  • Next.js
  • TypeScript
  • JavaScript
  • Tailwind CSS

Databases

Relational, document, graph, vector

  • PostgreSQL
  • MySQL
  • MongoDB
  • Neo4j
  • Pinecone
  • SQL Server

Automation

Workflows and integrations

  • n8n
  • Webhooks
  • REST APIs
  • CRM Automation
  • Zapier-style flows

Data Engineering

Pipelines and warehousing

  • SQL
  • SSIS
  • Power BI
  • Apache Spark
  • Data Warehousing
  • ETL / ELT

DevOps

Ship and operate

  • Docker
  • Git
  • GitHub
  • CI/CD
  • Azure
  • Vercel

Right now

Where I'm working.

Full-time generative AI engineering, alongside independent client work.

Full timeline

Generative AI Engineer

Tekvix

Current

December 2025 — Present · Lahore, Pakistan

Building data-driven platforms for real estate and PropTech companies — backend APIs, data pipelines, RAG systems and the agents and automations that run on top of them.

  • LangChain
  • LangGraph
  • LangSmith
  • Neo4j
  • RAG
  • MCP Servers
  • n8n
  • Python

Freelance AI & Automation Engineer

Upwork & Fiverr

Current

Ongoing · Remote — worldwide

Independent client work across AI agents, n8n automation, RAG systems, full-stack applications, mobile apps and data engineering. Every contract completed to date is rated 5.0.

  • LangChain
  • n8n
  • RAG
  • Python
  • Next.js
  • React Native
  • Docker
  • Cloud

Client feedback

What clients say after the work ships.

Verified reviews from completed Upwork and Fiverr contracts, quoted in full and exactly as the client left them.

Average client rating
5.0Average client rating
Contracts completed
4Contracts completed
Currently in progress
1Currently in progress
Five-star reviews
100%Five-star reviews
MG
Upwork · Jul 2026

Senior AI / Full-Stack Engineer Needed (AI, Mobile, Cloud & Data Engineering)

Mansouri Ghassen · Italy

“Mujtaba did an excellent job throughout the project. He demonstrated strong expertise in AI engineering, full-stack development, cloud infrastructure, and backend architecture. Communication was clear, he understood requirements quickly, and consistently delivered clean, well-structured work.

He was proactive in suggesting improvements, solved technical challenges efficiently, and showed a solid understanding of modern AI technologies, including LLM integrations and scalable application development. His professionalism, attention to detail, and commitment to quality made the collaboration smooth and productive.

I would definitely recommend Mujtaba to anyone looking for a reliable AI and full-stack developer, and I look forward to working with him again on future projects.”

  • AI Mobile App Development
  • AI Platform
  • AI App Development
  • Gen AI Applications
  • AI Development
  • Reliable
MG
Upwork · Jun — Jul 2026

Senior AI Agent & Full Stack Automation Engineer Needed (LangChain + n8n + RAG)

Mansouri Ghassen · Italy · Continued support & refactor

“Mujtaba has secured the required specs , remained all flexible with the changes and refacto we've had to go through !

his attention to details , has helped us get better oriented during the project and identify the right direction of the build .

thanks for the prominent support and availability !!

still have lots to work on together in the coming days ! get prepared for more achievements together .”

  • LangChain
  • Generative AI
  • AI Agent Development
  • Generative AI Software
  • Collaborative
  • Solution Oriented
  • Clear Communicator
  • Detail Oriented
MG
Upwork · May 2026

Senior AI Agent & Full Stack Automation Engineer Needed (LangChain + n8n + RAG)

Mansouri Ghassen · Italy · Initial build

“Mujtaba did an outstanding job building our AI automation system and web application. He has strong expertise in n8n, LangChain, APIs, and AI workflows. Communication was smooth, and he solved complex problems quickly and professionally. The final system was clean, scalable, and exceeded expectations. Highly recommended for AI agents, automation, and full-stack development projects.”

  • AI Agent Development
  • Generative AI Software
  • AI Development
  • Solution Oriented
  • Clear Communicator
  • Detail Oriented
  • Professional
EA
Fiverr · Mar 2026

Minimum Viable Product Set

erreanew · Italy

“great .. good job!”

  • Python
  • Pandas
  • Data Analysis
  • Product Strategy

Work with me

Hire me where it suits you.

Same engineer, same standard — pick the platform that fits how your team contracts.

Upwork

Hire me for AI engineering, automation, LLM, data and full-stack projects — contract-protected, milestone based.

View Upwork Profile

Fiverr

Explore packaged AI, automation, LLM and development services with a defined scope and turnaround.

View Fiverr Profile

Direct

Prefer to skip the platforms? Message me on WhatsApp and we can scope it in a single conversation.

Chat on WhatsApp

Let’s build

Have an idea that needs AI?

Whether you need an AI model, an automation workflow, a data pipeline, a backend system or a complete AI-powered product — let's build it.

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