Dynamic and results-driven professional with expertise in machine learning, AI
engineering, and enterprise computing. Skilled in building and deploying AI models,
optimizing mainframe systems, and solving complex problems with innovative solutions.
Proficient in leveraging cutting-edge technologies to deliver impactful results.
Known for strong analytical skills, collaboration in multicultural teams, and a
commitment to continuous learning. Dedicated to driving success through technical
excellence and creative problem-solving.
A Canadian citizen, readily available to work in the USA under the TN visa system.
| Serial | Name of Certificate |
|---|---|
| 1 | Stanford Machine Learning Specialization |
| 2 | Stanford Deep Learning Specialization |
| 3 | IBM - AI Developer |
| 4 | IBM - Introduction to Artificial Intelligence (AI) |
| 5 | IBM - Python for Data Science, AI & Development |
| 6 | IBM - Building Generative AI-Powered Applications with Python |
| 7 | IBM - Introduction to HTML, CSS, & JavaScript |
| 8 | IBM - Introduction to Software Engineering |
| 9 | IBM - Developing AI Applications with Python and Flask |
| 10 | IBM - Generative AI: Introduction and Applications |
| 11 | IBM - Generative AI: Elevate your Software Development Career |
| 12 | IBM - Generative AI: Prompt Engineering Basics |
| 13 | IBM - Software Developer Career Guide and Interview Preparation |
| 14 | IBM - z/OS Mainframe Practitioner |
| 15 | IBM - AI Developer |
| 16 | IBM - AI Developer |
| 17 | IBM - AI Developer |
| 18 | IBM - AI Developer |
| 19 | IBM - AI Developer |
| Serial | Skills | Skill Description |
|---|---|---|
| 1 | Deep Learning |
Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Transformers, GAN, LSTM, (Coursera/Stanford DeepLeraning.ai) |
| 2 | Machine Learning |
Supervised & Unsupervised Learning, Advanced Learning Algorithms, Regression, Classification and Neural Networks (Coursera/Stanford) |
| 3 | Artificial Intelligence (AI) |
Generative AI, NLP techniques, AI Training Specifications. Conducting SxS comparisons of AI models using advanced API tools. |
| 4 | Large Language Models (LLMs) |
Deep understanding of LLMs, experience with prompt engineering and fine-tuning for specific applications. |
| 5 | Data Visualization |
Creating compelling and informative visualizations using Matplotlib. |
| 6 | Prompt Engineering |
Expertly craft precise user prompts to obtain accurate outputs. |
| 7 | Programming/AI/IT Skills |
Python (PyTorch, TensorFlow, NumPy, Django, Pandas, Matplotlib, SciPy, Scikit-learn), Flask, C#, ASP.NET, PHP, JavaScript, HTML, JSON, SQL, MySQL, NVIDIA Software libraries CUDA |
| 8 | Coding Skills |
Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Transformers, GAN, LSTM, (Coursera/Stanford DeepLeraning.ai) |
| 9 | Soft Skills |
Excellent written communication, collaboration, and problem-solving skills. Team collaboration, adaptable, fast learner, analytical mindset, self-motivated. |
| 10 |
| Serial | Expertise-on | Details |
|---|---|---|
| 1 | Machine Learning (ML) | Supervised & Unsupervised Learning, Advanced Learning Algorithms, Regression, Classification, Neural Networks |
| 2 | Deep Learning (DL) | Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Transformers, GAN, LSTM |
| 3 | Artificial Intelligence (AI) | Generative AI, NLP techniques, AI Training Specifications, Conducting SxS comparisons of AI models using API tools |
| 4 | Object Detection | Developed and deployed object detection models using CNNs and YOLO, enhancing image analysis and real-time recognition systems |
| 5 | Emotion Detection | Implemented emotion recognition systems using deep learning models, analyzing facial expressions and sentiment in images and videos |
| 6 | Face Detection | Designed face detection applications using Haar cascades and DNN models for authentication and surveillance systems |
| 7 | Prompt Engineering | Expert in designing effective prompts to improve AI model responses and outputs |
| 8 | Large Language Models (LLMs) | Proficient in using and fine-tuning LLMs for domain-specific applications |
| 9 | Data Visualization | Creating data-driven visualizations using Matplotlib for insights and analysis |
| 10 | Programming | Proficient in Python (TensorFlow, PyTorch, NumPy, Pandas), C#, ASP.NET, PHP, JavaScript, SQL, and NVIDIA CUDA |
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