Skip to content

Available for new projects · Remote, worldwide

Hey, I'm Amar Sohail — AI engineer & AI architect.

I build AI systems that ship to production.

For 12+ years I've helped startups and enterprises turn AI ideas into production systems — generative and agentic AI, custom model training, computer vision and NLP, image and video generation, and the MLOps and GPU infrastructure that runs it all.

Years of experience
12+
Projects delivered
100+
Happy clients
90+
AI models in production
100+
Scroll

Trusted by teams at

  • Just Eat
  • Giisty
  • HYVES
  • Harry AI
  • Gold Bank London
  • JoyPix.ai
  • QKSMS
  • Marketers Pen
  • Salt'n Pepper
  • Masal
  • Rara Driving School
  • University of Central Punjab

Services

What I can build for you.

From first prototype to production scale — I design, build and run the whole system, not just the model.

  • Generative AI & LLM Apps

    Chatbots, copilots, search and assistants grounded in your own data — production RAG with the right chunking, retrieval and evaluation, so answers stay accurate as your data grows.

    • LangChain
    • LlamaIndex
    • OpenAI
    • Claude
    • Gemini
    • Pinecone
  • Agentic AI & Automation

    AI agents and multi-agent systems that plan, use tools and finish real work — with memory, guardrails and human-in-the-loop review where it matters.

    • LangGraph
    • CrewAI
    • AutoGen
    • MCP
    • Claude Code
    • n8n
  • AI Architecture & Strategy

    The right models, data flows and infrastructure before you build: architecture reviews, build-vs-buy and model selection, evaluation, cost and latency planning, and a roadmap your team can execute.

    • Model selection
    • Evals
    • Guardrails
    • Cost & latency
    • Roadmaps
  • Model Training & Fine-tuning

    Models trained on your data: dataset curation, labelling and synthetic data, LoRA/QLoRA fine-tuning of LLMs and diffusion models, GPU training runs and rigorous evaluation.

    • PyTorch
    • Hugging Face
    • LoRA/QLoRA
    • TensorFlow
    • Datasets
    • Synthetic data
  • Image & Video Generation

    Automated pipelines for AI images, video and voice: Flux and SDXL generation, LoRA training for consistent characters, video generation and voice cloning — at production scale.

    • ComfyUI
    • Flux
    • SDXL
    • LoRA training
    • Video generation
    • Voice cloning
  • Computer Vision

    Image and video understanding: object detection, segmentation, classification, OCR and visual inspection models, optimized for fast, reliable inference.

    • PyTorch
    • OpenCV
    • Detection
    • Segmentation
    • OCR
  • NLP & Speech

    Text classification, entity extraction, summarization, semantic search and speech-to-text — from classic NLP to LLM-powered pipelines for documents, support and knowledge bases.

    • Transformers
    • Embeddings
    • NER
    • Whisper
    • Semantic search
  • Data Science & Datasets

    Turn raw data into models and decisions: data pipelines, dataset creation and cleaning, feature engineering, forecasting, recommendations and analytics.

    • Python
    • pandas
    • scikit-learn
    • SQL
    • ETL pipelines
  • MLOps & GPU Infrastructure

    Deploy, scale and monitor models in production: GPU inference, model serving APIs, CI/CD for models, drift monitoring and cost control on Kubernetes across AWS, Azure and GCP.

    • Kubernetes
    • Docker
    • MLflow
    • SageMaker
    • FastAPI
    • VRAM optimization

Amar Sohail is a freelance AI engineer and AI architect. He builds generative AI and RAG applications, agentic AI and multi-agent systems, trains and fine-tunes models on custom datasets, delivers computer vision, NLP and data science solutions, builds image and video generation pipelines, and runs models in production with MLOps and GPU infrastructure. He is available for freelance AI engineering, consulting and contract work worldwide.

Discuss your project

Free 30-minute call. No commitment.

Portfolio

Selected work.

AI products and the platforms behind them — from generative AI content pipelines to knowledge retrieval at scale.

Filter projects by category

Testimonials

What clients say.

  • “Amar did an excellent job. He reviewed and finalized our AI & data engineering system. He quickly understood the existing architecture, fixed NLP and data pipeline issues, and improved overall system stability. Communication was clear, work was well-documented, and everything was delivered on time. We would definitely work with him again for future enhancements.”

    Co-FounderBaynton Jesse
  • “Out of all of the app development teams that I contacted, this team understood my project the best. They created a great product, not breaking.”

    FounderGiisty
  • “I had great experience with this Amar. He went beyond my requirements, super fast, skilled and highly recommended for other clients.”

    Restaurant OwnerRara Restaurant
  • “He is professional. We have been working on this project for a few months and he has always been fantastic to work with. I look forward to future collaborations.”

    Product OwnerHyves
  • “Very good communication, delivered on time. It was nice working with him!”

    Lars SteinschulteRuhr-Universität Bochum
  • “We have been working on this project for a few months and he has always been fantastic to work with. Highly Recommended!”

    OwnerMasal & TWOBIRDS Bridal

Process

How we'll work together.

A simple, transparent process — so you always know what's being built, why, and when.

  1. Step 01

    Discovery

    A free call to understand your goals, constraints and timeline — with honest advice on what to build, and what not to.

  2. Step 02

    Architecture

    A clear technical plan before any code: system design, stack, milestones and API contracts, sized to your budget.

  3. Step 03

    Build

    Short iterations with working demos, code reviews and automated tests, so you see real progress early and often.

  4. Step 04

    Launch & scale

    Production deployment with monitoring and auto-scaling, then documentation and handover so your team owns it.

About

The engineer behind the work.

Amar Sohail

Amar Sohail

AI Engineer & AI Architect

I'm an AI engineer and AI architect with 12+ years of experience taking AI from idea to production. I've led engineering teams at Giisty and Hyves.co in Dubai, and today I work with startups and enterprises worldwide as a freelance AI engineer and consultant.

My work spans generative and agentic AI, model training on custom datasets, computer vision, NLP and data science, image and video generation pipelines, and the MLOps and GPU infrastructure to run it reliably. I design RAG systems, build multi-agent workflows with LangGraph, CrewAI and MCP, and fine-tune models for real business use. I'm also a published researcher (PLOS ONE) with an MS in Computer Science earned on a full scholarship.

Location
Dubai, UAE · remote worldwide
Time zone
GST (UTC+4)
Phone / WhatsApp
+92 304 9268347

Currently exploring

  • Agentic AI & multi-agent orchestration
  • Video generation models
  • Claude Code & MCP
  • GPU inference optimization

Highlights

  • AI at scale

    AI content platform, 100 characters an hour

    Built Dataism end to end: 30+ ComfyUI workflows for Flux LoRA training, SDXL image generation, voice cloning and video generation, running 48h+ continuously on GPUs.

    View on GitHub
  • Published research

    Peer-reviewed research

    Published in PLOS ONE: formal modelling of IoT routing-protocol security with coloured Petri nets — a first-of-its-kind approach to verifying RPL vulnerabilities.

    Read the paper
  • Scholarship

    MS on full scholarship

    Master's in Computer Science at COMSATS University on a merit-based full scholarship, with a focus on data mining, simulation and modelling, and cybersecurity.

Experience

12+ years of shipping.

Work

  1. 2024 – Present

    Freelance AI Engineer & Consultant

    Remote · clients worldwide

    Design and deliver production AI systems for startups and enterprises — RAG architectures, multi-agent orchestration, LLM fine-tuning and AI workflow automation with n8n, MCP and Claude Code — from strategy through deployment.

    • Python
    • LangChain
    • LangGraph
    • CrewAI
    • PyTorch
    • MCP
    • n8n
    • AWS
    • Kubernetes
    • Terraform
  2. 2022 – 2024

    Tech Lead

    Hyves.co · UAE & France

    Led the engineering team building a social commerce platform. Architected scalable backend services, owned deployment pipelines and technical decisions across the product lifecycle, and integrated LLMs and RAG for product recommendations and search.

    • Node.js
    • React
    • PostgreSQL
    • Docker
    • AWS
    • LangChain
    • RAG
    • n8n
  3. 2020 – 2022

    Engineering Lead

    Giisty · Dubai

    Led cross-functional teams across backend, AI/ML and cloud. Architected microservices on Kubernetes (EKS), designed RAG pipelines with vector databases, shipped LLMs via SageMaker and MLflow, and set up GitOps CI/CD, Terraform and Prometheus/Grafana observability.

    • Python
    • PyTorch
    • Kubernetes
    • Terraform
    • AWS
    • PostgreSQL
    • Redis
    • Kafka
  4. 2018 – 2020

    Backend Engineer

    Digital Innovation (Pvt) Ltd · Lahore

    Built REST APIs and event-driven microservices handling 100K+ daily requests. Implemented OAuth 2.0, role-based access control and encryption, and improved query performance by 40% through database redesign.

    • Spring Boot
    • Node.js
    • NestJS
    • PostgreSQL
    • MySQL
    • AWS
    • Redis
    • GraphQL
  5. 2016 – 2018

    Software Engineer

    University of Central Punjab · Lahore

    Modernized full-stack web applications, migrating legacy PHP to Laravel MVC, and built REST APIs, automated tests and CI/CD for student platforms serving 10K+ users.

    • PHP/Laravel
    • JavaScript
    • Node.js
    • MySQL
    • Linux
    • Nginx

Education

  1. 2016 – 2019

    MS Computer Science (Full Scholarship)

    COMSATS University Islamabad, Lahore Campus

    Merit-based full scholarship. Research published in PLOS ONE. Focus areas: cybersecurity, simulation & modelling, data mining.

  2. 2011 – 2015

    BS (Hons) Software Engineering

    Government College University Faisalabad

    Software project management, programming, database systems, web engineering, data structures & algorithms, artificial intelligence.

Certifications

  • IBM RAG and Agentic AI Professional Certificate

    IBM · Coursera · June 2025

  • Generative AI with Large Language Models

    Coursera · March 2024

  • Google Cloud Professional Architect

    Google Cloud · September 2023

  • AWS Certified Cloud Practitioner

    Amazon Web Services · April 2018

Tech stack

Tools I use to deliver.

I pick the stack that fits your problem and your team — not the other way round. These are the tools I've shipped to production with.

Generative & agentic AI

  • OpenAI API
  • Claude
  • Gemini
  • LangChain
  • LlamaIndex
  • LangGraph
  • CrewAI
  • AutoGen
  • OpenAI Swarm
  • MCP
  • Claude Code
  • n8n
  • RAG
  • Pinecone
  • Vector databases

Model training

  • PyTorch
  • TensorFlow
  • Hugging Face
  • LoRA / QLoRA
  • scikit-learn
  • Datasets
  • Synthetic data

Image, video & voice

  • ComfyUI
  • Flux
  • SDXL
  • LoRA training
  • Video generation
  • Voice cloning
  • Whisper

Computer vision & NLP

  • OpenCV
  • Detection & segmentation
  • OCR
  • Transformers
  • Embeddings
  • NER

Data science

  • Python
  • pandas
  • SQL
  • ETL pipelines
  • PostgreSQL
  • MongoDB
  • Elasticsearch
  • Redis

MLOps & GPUs

  • Kubernetes
  • Docker
  • MLflow
  • SageMaker
  • FastAPI
  • VRAM optimization
  • Terraform
  • AWS
  • Azure
  • GCP
  • Prometheus
  • Grafana

Languages

  • Python
  • TypeScript
  • Go
  • Java
  • Rust
  • SQL

GitHub activity

@digitalinnovator
Repositories
62+
Pull Requests
280+
Contributions
1200+

FAQ

Questions, answered.

Something else on your mind? Ask me directly — I'm happy to talk through your project.

What do you specialize in?

I'm Amar Sohail, a freelance AI engineer and AI architect with 12+ years of experience. I specialize in generative AI and RAG, agentic AI and multi-agent systems, model training and fine-tuning on custom datasets, computer vision, NLP, data science, image and video generation, and the MLOps and GPU infrastructure that runs AI in production.

Are you available for freelance or contract work?

Yes. I take on freelance AI engineering, consulting and contract work — from AI audits and prototypes to full builds and long-term team augmentation. Book a free 30-minute call, or hire me on Upwork.

How do engagements and pricing work?

I work on both project-based and hourly engagements. After a free discovery call, you get a clear scope and a custom quote based on your goals, timeline and budget.

Can you build a RAG pipeline or AI assistant for my business?

Yes. I design and deploy production RAG pipelines and AI assistants with LangChain, LlamaIndex and vector databases such as Pinecone, Weaviate and ChromaDB — including chunking strategy, embedding models, retrieval tuning and evaluation, so answers stay grounded in your data.

Can you build AI agents and multi-agent systems?

Yes. I build agentic AI with LangGraph, CrewAI, AutoGen and OpenAI Swarm, and agentic workflows with MCP (Model Context Protocol) and Claude Code — including tool use, persistent memory, guardrails and human-in-the-loop review.

Can you train or fine-tune models on our own data?

Yes. I prepare and curate datasets (including labelling and synthetic data), fine-tune LLMs and diffusion models with LoRA/QLoRA, train custom PyTorch and TensorFlow models on GPUs, and evaluate them against your real use cases before deployment.

Do you work on computer vision, NLP and image or video generation?

Yes. I build computer vision (detection, segmentation, OCR), NLP and speech (classification, entity extraction, summarization, Whisper speech-to-text), and generative media pipelines with ComfyUI, Flux and SDXL — including LoRA training for consistent characters, video generation and voice cloning.

How do you run AI models in production?

With MLOps: containerized model serving, GPU inference and VRAM optimization, CI/CD for models, monitoring and drift detection, and autoscaling on Kubernetes across AWS, Azure and GCP — with MLflow and SageMaker for the model lifecycle.

Where are you based, and do you work remotely?

I'm based in Dubai, UAE, and work remotely with clients worldwide, with projects delivered for teams across the US, Europe and the Middle East.

Contact

Let's build something great.

Tell me about your project — the goal, the timeline and where you're stuck. Or skip the form and book a free 30-minute call.