You will get 2x Deep Learning, 5x Machine Learning, Models Benchmarking NoteBook
Project details
You will get a complete Notebook, and Detailed Document with Plots and Tables. I will take custom or open source data to apply machine learning and deep learning models for studying different relationships. And enhancing the model's accuracy in decision making.
Provide your Study Title or Job Description.
I will give 100% Complete Code and Document for your Targeted Goals.
Regards,
Misha Urooj Khan
7+ Years of AI Experience, Machine Learning, Deep Learning, and Generative AI Solutions.
Provide your Study Title or Job Description.
I will give 100% Complete Code and Document for your Targeted Goals.
Regards,
Misha Urooj Khan
7+ Years of AI Experience, Machine Learning, Deep Learning, and Generative AI Solutions.
Machine Learning Tools
Apache Mahout, Apache MXNet, Apache Spark, Apache Spark MLlib, Azure Machine Learning, BigDL, GitHub Copilot, Keras, Kubeflow, NLTK, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, Tesseract OCR, Theano, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$350
|
Standard
$750
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 7 days | 30 days | 30 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 4 | 4 | 10 |
Number of Scenarios | 4 | 10 | 100 |
Number of Graphs/Charts | 8 | 15 | 100 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
About Misha
Machine Learning Engineer | AI Engineer | AI Researcher
Islamabad, Pakistan - 8:21 pm local time
Delivering enterprise-grade artificial intelligence solutions and computer vision systems for mission-critical applications. Experienced AI engineer with proven track record in machine learning model development, deep learning architecture design, and production deployment across Fortune-level research institutions and innovative startups. Specialized in computer vision engineering, real-time vision systems, and edge AI implementation.
Expert machine learning engineer transforming complex data challenges into scalable production applications. From computer vision systems processing billions of images to deep learning models running on edge devices, I architect and deploy AI solutions that solve real-world problems with research-grade quality and industry-proven reliability.
I have served in CERN (Switzerland), and have remote collaboration with King Fahd University of Petroleum & Minerals (Saudi Arabia) for providing AI development services and consultations.
I have completed Master's in Electronic Engineering and have 5 years of experience in development and deployment of Deep Learning and Machine Learning models for predictive analytics and inference.
I am proficient in Python, and Pytorch and develop complex and large scale application codes from scratch and can take it to production scale.
Domain of Interest Include: (but not limited to)
Trading and Stock Prediction with Deep Learning and Reinforcement Learning Models.
Predictive Analytics & AI Forecasting: Trend Modeling, Anomaly detection and remaining useful life analysis using advance deep learning and machine learning methods.
LLMs & Agentic AI: Fine-tuning large language models, designing autonomous AI agents, and developing custom NLP pipelines.
Computer Vision for Object Detection, Segmentation and LLMs based advanced model optimization for computer vision.
AI in Healthcare: Deep Learning based applications for health care modified through LLMs based multimodal data handling and generation.
Career Highlights:
International Patent: Drone detection system using AI & sensor fusion.
Publications: 10+ SCI-indexed journals, 17+ conferences, and 658+ citations.
Innovation: Creator of R2TGenNet/T2RGenNet frameworks for bi-directional image translation.
Awards: Winner and finalist in multiple AI innovation challenges & hackathons.
Collaboration: Worked with teams across Europe, Middle East, and Asia for cross-industry AI deployments.
Let’s connect !!
If you’re seeking a future-ready AI developer who can to translate complex ideas into secure, scalable, and high-performance solutions.
Steps for completing your project
After purchasing the project, send requirements so Misha can start the project.
Delivery time starts when Misha receives requirements from you.
Misha works on your project following the steps below.
Revisions may occur after the delivery date.
Machine Learning, Deep Learning Model Training and Benchmarking
Primary Data Analysis and Statistical Patterns Identification. Feature extraction and Engineering Through Statistical Means. Data Normalization , ML, DL Model Training, Ablation Studies. Document results with Tables and Plots. Code Notebook