You will get custom AWS ML pipelines and data engineering solutions
Top Rated
Project details
Transform your data into actionable insights with professional AWS-based machine learning and data engineering solutions. As an experienced ML/Data Engineer, I specialize in building scalable, production-ready data pipelines and ML models on AWS infrastructure.
What you'll get:
• Custom ETL pipeline development using AWS services
• ML model deployment and optimization
• Data warehouse architecture and implementation
• Performance monitoring and optimization
• Detailed documentation and knowledge transfer
Services include AWS Lambda, S3, SageMaker, Glue, EMR, and other relevant AWS services for your specific needs.
What you'll get:
• Custom ETL pipeline development using AWS services
• ML model deployment and optimization
• Data warehouse architecture and implementation
• Performance monitoring and optimization
• Detailed documentation and knowledge transfer
Services include AWS Lambda, S3, SageMaker, Glue, EMR, and other relevant AWS services for your specific needs.
Machine Learning Tools
Amazon SageMaker, Apache Spark, BERT, ChatGPT, Google Sheets, Kubeflow, Microsoft Excel, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SciPy, SQL, Tableau, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 3 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code | - | - |
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GC
Gregory C.
Feb 5, 2026
RAG Expansion & Accuracy Improvement
KS
Kenji S.
Jan 30, 2026
AI/ML Engineer - Advanced Model Development and Quick Prototyping
JM
John M.
Jul 10, 2025
Add features to image analysis and RAG compliance checker system
Working with Ikram was 10/10 great once again. Looking forward to continuing to work together!
JM
John M.
Jun 14, 2025
Fine-Tune LLaMA 3-Vision Models on 144k Image JSONL Dataset — Lambda Labs + Hugging-Face Deployment
Ikram was absolutely incredible to work with. Not only is he a FANTASTIC developer who really knows what he is doing and writes great code, he was extremely communicative, and also went above and beyond to get my company's needs for this project fulfilled. I will ABSOLUTELY hire again!!! Thank you, Ikram!
MU
Michael U.
Apr 22, 2025
Hugging Face Auto Train Expert
great work from Ikram on finetuning
About Ikram
AI/ML Engineer | Build, Deploy & Scale AI-Powered Applications
91%
Job Success
Quetta, Pakistan - 1:45 pm local time
I specialize in transitioning AI from experimental prototypes into reliable, production-grade assets. By architecting scalable LLMs, advanced RAG systems, and autonomous agents on AWS, I bridge the gap between raw data and high-performance machine learning. My focus is on precision training, efficient inference, and rock-solid architecture to ensure your custom AI solutions are accurate, fast, and built to scale.
Featured Accomplishments & Projects:
• High-Accuracy RAG Pipelines: Engineered an apparel compliance system utilizing hybrid search strategies that achieved 98% accuracy, virtually eliminating manual verification.
• Secure & Scalable Architecture: Developed robust multi-tenant knowledge hubs with strict document isolation, and deployed asynchronous, high-speed backends using FastAPI.
• High-Performance Desktop Apps: Built resource-efficient, cross-platform AI applications utilizing Rust and the Tauri framework.
Education & Certifications:
• Bachelor of Software Engineering
• Certified in Data Engineering & Retrieval-Augmented Generation (RAG) by DeepLearning.AI
• Large Language Model Operations (LLMOps) by Duke University
🧰 Tech Stack
• Web & Desktop: Python, Rust, FastAPI, Django, React, Tauri
• GenAI & ML: PyTorch, Candle, Scikit-learn, XGBoost, LangChain, DSPy
• Cloud & Vector DBs: AWS (SageMaker), Docker, Serverless, Pinecone, Milvus, Qdrant
Steps for completing your project
After purchasing the project, send requirements so Ikram can start the project.
Delivery time starts when Ikram receives requirements from you.
Ikram works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Architecture Design (2-3 days)
- Detailed discovery call to understand business objectives. - Data source analysis and infrastructure assessment. - Creation of architecture diagram and technical specifications. - Client approval of proposed solution.
Environment Setup & Data Pipeline Development (3-5 days)
- AWS infrastructure setup using IaC (Terraform/CloudFormation). - Implementation of data ingestion pipelines. - ETL process development and testing. -Quality checks and data validation implementation.