You will get Scalable Machine Learning & Deep Learning Solutions with Python

Project details
As an AI Engineer with a BEng and 8+ IBM certifications, I specialize in building custom Machine Learning and Deep Learning models to solve complex business challenges. With a 5.0 rating on Fiverr and 50+ delivered projects, I offer tailored solutions for industries like e-commerce, logistics, and marketing. Whether you need predictive analytics, classification models, or neural networks (CNNs, RNNs), I deliver clean code, detailed documentation, and seamless deployment using Python, TensorFlow, PyTorch, and AWS. Benefits include improved decision-making, automated workflows, and scalable AI systems. Let’s transform your data into actionable insights—hire me today for a free consultation!
Machine Learning Tools
Accord.NET Framework, Apache Spark, Azure Machine Learning, BERT, ChatGPT, fastText, GPT-3, Keras, Microsoft Excel, Microsoft Power BI, Minitab, MLflow, NLTK, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 1 | 1 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 3 | 3 | 1 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
About Muneer
AI Engineer | ML, Deep Learning, NLP, Computer Vision & Generative AI
Skardu, Pakistan - 1:55 pm local time
As an experienced AI Engineer, I specialize in crafting intelligent, scalable, and production-ready AI solutions that drive measurable business impact. With a proven track record on platforms like Fiverr and a passion for solving complex problems, I deliver high-quality machine learning, deep learning, computer vision, and reinforcement learning projects tailored to your needs. From prototyping to full-scale deployment, I ensure clear communication, clean code, and on-time delivery.
Let’s transform your ideas into cutting-edge AI solutions—hire me with confidence to bring your vision to life!
Why Choose Me?
Expertise: Deep knowledge in Machine Learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning, and Generative AI.
Proven Results: Successfully delivered AI-powered solutions for clients across industries, including warehouse management, e-commerce, and marketing automation.
Tools & Tech: Proficient in Python, PyTorch, TensorFlow, Hugging Face, FastAPI, Docker, and cloud platforms like AWS and GCP.
Client-Centric: I prioritize understanding your business goals to deliver tailored solutions with clear documentation and seamless integration.
Certifications: Backed by 8+ IBM and Stanford certifications in AI, Machine Learning, and Generative AI.
Core Expertise
Machine Learning: Supervised/unsupervised learning, model training, hyperparameter tuning, and deployment (Scikit-learn, XGBoost).
Deep Learning: Neural networks, CNNs, RNNs, LSTMs, and Transformers (TensorFlow, PyTorch, Keras).
Reinforcement Learning: Policy optimization, Q-learning, DQN, SAC, PPO, and environment simulation using OpenAI Gym and AirSim.
Natural Language Processing (NLP): Text classification, sentiment analysis, chatbots, and custom GPT models (Hugging Face, LangChain).
Computer Vision: Object detection, image classification, OCR, and facial recognition (YOLO, OpenCV).
Generative AI: Prompt engineering, fine-tuning LLMs, and building AI-powered content tools.
AI Integration: REST APIs, FastAPI, Flask, Docker, and cloud deployment (AWS, GCP).
Other Skills: Data Science, predictive analytics, automation for marketing and business intelligence.
Tools & Technologies
Programming: Python, R, SQL
Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers
Reinforcement Learning Libraries: Stable-Baselines3, RLlib, OpenAI Gym, PettingZoo
APIs & Deployment: FastAPI, Flask, Docker, REST APIs, AWS, GCP
Generative AI: OpenAI, LangChain, Pinecone
Development Tools: Git, Linux, Jupyter, Google Colab
Visualization: Matplotlib, Seaborn, Plotly
Steps for completing your project
After purchasing the project, send requirements so Muneer can start the project.
Delivery time starts when Muneer receives requirements from you.
Muneer works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Discuss your project goals, data availability, and technical requirements via Upwork messages or a call to ensure alignment. Why: Establishes clear communication, a key part of your client-centric approach.
Data Preprocessing
Clean and prepare your data (or source datasets) using Python, Pandas, and NumPy for optimal model performance. Why: Highlights your data science skills and ensures the model is built on quality data.
