You will get services Machine and Deep Learning, Artificial Intelligence & Data Science
Project details
I have done MS in Electrical Engineering, and a Professional Machine learning and Embedded System Engineer specialized and experienced in various machine learning, deep learning, Artificial Intelligence(AI), and data science projects.
✅ Specialized in machine learning with projects including Data preprocessing, and various types of Regression techniques
✅Classification with different methods (like K-NN, SVM, Naive Bayes, etc.), K-means and hierarchal clustering, Reinforcement learning with UCB and Thompson Sampling, Natural Language Processing, Dimensionality Reduction using PCA and LDA in Python and R programming
✅ Specialized in Deep learning with ANN, CNN, Recurrent Neutral networks (RNN), Self-Organizing Maps (SOM), Boltzmann Machine, and Autoencoder
✅ Specialized in various Artificial Intelligence Models and projects including Q – Learning, Deep Q – Learning, Deep Convolutional Q – Learning, and A3C intuition, Implementation, and Visualization
✅ Specialized in Data Science and Data mining techniques with steps involving visualization, regression, and Robust geodemographic segmentation modeling and Data preprocessing including data wrangling and error handling during ETL
✅ Specialized in machine learning with projects including Data preprocessing, and various types of Regression techniques
✅Classification with different methods (like K-NN, SVM, Naive Bayes, etc.), K-means and hierarchal clustering, Reinforcement learning with UCB and Thompson Sampling, Natural Language Processing, Dimensionality Reduction using PCA and LDA in Python and R programming
✅ Specialized in Deep learning with ANN, CNN, Recurrent Neutral networks (RNN), Self-Organizing Maps (SOM), Boltzmann Machine, and Autoencoder
✅ Specialized in various Artificial Intelligence Models and projects including Q – Learning, Deep Q – Learning, Deep Convolutional Q – Learning, and A3C intuition, Implementation, and Visualization
✅ Specialized in Data Science and Data mining techniques with steps involving visualization, regression, and Robust geodemographic segmentation modeling and Data preprocessing including data wrangling and error handling during ETL
Machine Learning Tools
Azure Machine Learning, ChatGPT, Deeplearning4j, GPT-3, MATLAB, Microsoft Excel, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$500
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 10 days | 18 days | 30 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
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JS
Joanne Da S.
Feb 27, 2024
Looking for C, MicroPython developer
AY
Alex Y.
Sep 18, 2023
Inverter
JS
Joanne Da S.
May 22, 2023
Looking for C, MicroPython developer
Great developer. Actually going to hire again right away
MP
Morgan P.
May 18, 2023
MicroPython Porting Engineer
Had an outstanding experience with this freelancer. He was fast, prompt, and effective, completely solving my problem immediately. Very very grateful to Zain.
Kd
Kasun d.
Nov 29, 2022
Conceptual System Level Paper Design of a Car-Mounted Solar Cell and Wind Generator charger
2nd time with him. Did a very good Job
About Zain
Senior AI Engineer | RAG | LangChain | AI Agents | Agentic AI | LLMOPs
100%
Job Success
Ubauro, Pakistan - 1:49 am local time
⭐️ 56+ completed projects spanning full-stack, machine learning, and generative AI.
⭐️ 16 end-to-end projects: RAG, multimodal RAG, Agentic AI systems, vision-language fine-tuning
Most AI projects stall in the gap between a working notebook and something you can actually ship and maintain — no clean deployment path, no way to evaluate or monitor it.
Closing that gap is my focus.
I'm Zain — a generative AI application engineer. Not just the model. The entire stack:
✅ Agent Orchestration ✅ RAG pipeline ✅ Fine-tuned LLM
✅API ✅ containerization and Kubernetes deployment ✅ CI/CD pipeline
✅ Monitoring and observability that keeps it all healthy at scale.
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WHAT I BUILD FOR YOU
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🔷 RAG & agents — semantic search, reranking, memory, and multi-agent workflows with LangChain, LangGraph, and CrewAI over FAISS, Qdrant, Pinecone, and AstraDB.
🔷 Fine-tuning — adapting open vision-language and language models (LoRA / QLoRA / PEFT / SFT) to your data and domain, efficiently enough to train on accessible hardware.
🔷 Deployment & MLOps — Docker, Kubernetes, FastAPI, GitHub Actions CI/CD, Terraform, and AWS, with Prometheus / Grafana monitoring and LLM-specific tracing via Langfuse. Your AI ships reliably, scales automatically, and is observable from day one.
🔷 Multimodal systems — pipelines that combine text, PDFs, images, and audio using OCR, vision-language models (CLIP, Qwen2-VL, Florence-2, MAIRA-2), and Whisper.
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WHO I WORK BEST WITH
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→ SMBs, funded startups, and agencies who need someone who can both build a GenAI feature and get it deployed — a builder who ships, not just a notebook.
→ CTOs and technical founders who need a senior AI partner, not just a developer
I do not take every project. I take projects where I can make a real difference — where the work is technically meaningful and the client is serious about building something that lasts.
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TECH STACK
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✅ Languages: Python · SQL · Shell · YAML · Rust
✅ LLMs & GenAI: OpenAI GPT · Claude · Gemini · LLaMA · Mistral · Hugging Face
✅ RAG & Agents: LangChain · LangGraph · LlamaIndex · Multimodal RAG
✅ Fine-Tuning: LoRA · QLoRA · SFT · DPO · RLHF
✅ Inference: vLLM · TGI · Quantization (GGUF · AWQ · GPTQ)
✅ Vector DBs: FAISS · ChromaDB · Pinecone · Weaviate. LanceDB
✅ ML/DL: PyTorch · TensorFlow · Scikit-Learn · Keras · OpenCV
✅ Backend: FastAPI · Flask · Django
✅ Databases: PostgreSQL · MySQL
✅ Cloud: AWS (EC2 · EKS · SageMaker · Fargate · ECR)
✅ Containers & Orchestration: Docker · Kubernetes · Helm
✅ Infrastructure as Code: Terraform · Ansible
✅ CI/CD: Jenkins · GitHub Actions · GitLab CI/CD · ArgoCD · CircleCI
✅ Monitoring: Prometheus · Grafana · ELK Stack · Langfuse
✅ Experiment Tracking: MLflow · Weights & Biases · DVC
✅ Version Control: Git · GitHub · GitLab
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If you are building an AI system that needs to actually work in production — not just in a notebook — I would like to hear about it.
Send me a message with what you are building, and I will tell you honestly whether I can help and how.
Steps for completing your project
After purchasing the project, send requirements so Zain can start the project.
Delivery time starts when Zain receives requirements from you.
Zain works on your project following the steps below.
Revisions may occur after the delivery date.
Project Progress
The client will be updated time to time against project progress