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$
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I will do computer vision, deep learning, ml projects in python and r
Unleashing the power of data through Data Science
Welcome to my professional profile on Fiverr! I am an experienced Data Analyst and Data Science Specialist, ready to help you harness the full potential of your data. With a strong background in data ...
About this Gig
Are you looking for a professional Machine Learning (ML) Engineer to build high-performance Deep Learning models or cutting-edge Computer Vision applications? You come to the right place!
I specialize in transforming complex data into intelligent, scalable solutions. Whether you need Object Detection, Predictive Modeling, or Neural Network architecture, I provide end-to-end AI services tailored to your needs.
Expertise I Offer:
- Computer Vision: Expert in Object Detection (YOLO, Faster R-CNN), Image Segmentation, Facial Recognition, OCR, and Video Analytics using OpenCV.
- Deep Learning: Custom CNN, RNN, LSTMs, and GANs for complex tasks, including NLP and Generative AI.
- Machine Learning (ML): Predictive analysis, supervised/unsupervised learning, recommendation engines, and data visualization.
- Model Deployment: Turning prototypes into production-ready APIs (Flask/FastAPI) or cloud-integrated systems.
Tech Stack & Tools:
- Frameworks: TensorFlow, PyTorch, Keras.
- Libraries: Scikit-learn, OpenCV, Pandas, NumPy.
- Models: YOLO (v5-v11), ResNet, BERT, Transformers.
Why Hire Me?
- 6+ Years experience
From building Image Recognition systems to training Deep Learning models from scratch, I delive
My Portfolio
FAQ
Can you help with custom Dataset Collection or Annotation?
Absolutely. If you don't have a dataset, I can assist in data scraping or guide you on the best annotation tools (like CVAT or LabelImg) to ensure your Computer Vision model is trained on high-quality data.
Do you provide the full source code after the project is complete?
Yes, I provide the complete, well-documented Python source code for every Machine Learning or Deep Learning project. You will have full ownership and clear instructions on how to run and integrate the models.
Which frameworks do you use for Deep Learning and Computer Vision?
I primarily work with TensorFlow, PyTorch, and Keras for training models. For Computer Vision tasks, I utilize OpenCV and state-of-the-art architectures like YOLO (v8-v11), ResNet, and Transformers to ensure high accuracy.
Do you handle Natural Language Processing (NLP) tasks?
Yes! Beyond Computer Vision, I specialize in Deep Learning for NLP, including sentiment analysis, chatbots, and text classification using BERT and GPT-based models.
