You will get Machine Learning | Deep Learning | Anomaly Detection | Recommender System
Project details
Unlock actionable insights from your data with expertly crafted machine learning models. I specialize in building tailored ML solutions that drive business decisions, optimize processes, and enhance forecasting accuracy.
From classification and regression to clustering and anomaly detection, I leverage top-tier techniques such as Random Forest, XGBoost, SVM, and Autoencoders, ensuring each model is robust, accurate, and performance-optimized. Feature engineering, hyperparameter tuning, and evaluation metrics (AUC, F1-score) are meticulously applied for maximal predictive power.
With frameworks like Scikit-Learn, TensorFlow, Keras, and PyTorch, your models are production-ready and fully documented. Whether you need a single predictive model or a full suite of ML solutions with dashboards, scenarios, and validation tests, this project delivers reliable, actionable, and interpretable results.
I provide end-to-end service: from dataset preprocessing to model deployment guidance. Clients gain predictive models that translate data into strategy, actionable insights, and measurable business value.
From classification and regression to clustering and anomaly detection, I leverage top-tier techniques such as Random Forest, XGBoost, SVM, and Autoencoders, ensuring each model is robust, accurate, and performance-optimized. Feature engineering, hyperparameter tuning, and evaluation metrics (AUC, F1-score) are meticulously applied for maximal predictive power.
With frameworks like Scikit-Learn, TensorFlow, Keras, and PyTorch, your models are production-ready and fully documented. Whether you need a single predictive model or a full suite of ML solutions with dashboards, scenarios, and validation tests, this project delivers reliable, actionable, and interpretable results.
I provide end-to-end service: from dataset preprocessing to model deployment guidance. Clients gain predictive models that translate data into strategy, actionable insights, and measurable business value.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks MLflow, GitHub Copilot, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, TensorFlow, Tesseract OCR, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$400
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $200
Additional Revision
+$50
Additional Model Variation
(+ 2 Days)
+$80
Additional Scenario
(+ 1 Day)
+$40
Additional Graph/Chart
(+ 1 Day)
+$40
Model Documentation
(+ 2 Days)
+$100
Data Source Connectivity
(+ 2 Days)
+$80
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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 - 5:44 pm 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.
Data Cleaning & Preprocessing
I clean, transform, and prepare your data—handling missing values, outliers, and feature engineering.
Model Development
I build and train ML/DL models (classification, regression, clustering, etc.) based on your goals.