Machine Learning Engineer

Summary

I am an AI Engineer and Data Scientist with a strong background in developing and deploying advanced machine learning models, particularly in natural language processing (NLP), deep learning, and reinforcement learning. My experience includes a successful AI Engineer Internship at Radical AI, where I enhanced AI-powered platforms using cutting-edge technologies like GPT-4, leading to significant improvements in user satisfaction, platform performance, and project completion rates.

At the University at Buffalo, where I pursued my Master of Science in Artificial Intelligence, I served as a Research Assistant. I focused on data processing, predictive modeling, and exploratory data analysis, leveraging tools like Python, R, and Apache Airflow to deliver high-quality data insights and operational efficiencies. My work has consistently driven improvements in model accuracy and efficiency, whether through hyperparameter tuning, GAN implementation, or cloud-based deployment.

In addition to my work experience, I have led and contributed to several impactful projects, such as developing a brain tumor classification system with 97.99% accuracy using CNNs, designing an autonomous stock trading system with reinforcement learning, and engineering advanced robotic perception systems. These projects demonstrate my ability to apply complex algorithms to real-world problems, delivering measurable results.

I am skilled in Python, R, MATLAB, TensorFlow, PyTorch, Azure AI, and cloud platforms like AWS and Google Cloud. My education and certifications, including specializations from institutions like Duke University and the University of Michigan, have equipped me with a deep understanding of AI, machine learning, and data science.

Expectations

In my new role, I expect to find opportunities where I can leverage my skills in AI, machine learning, and data science to tackle challenging problems and contribute to innovative projects. I am looking for a position that offers continuous learning and growth, where I can collaborate with a dynamic team of professionals, and where my contributions can make a meaningful impact on both the company and its clients.

I also expect to work in an environment that encourages creativity, values diversity, and promotes a culture of knowledge sharing. I'm eager to take on responsibilities that align with my expertise in developing and deploying advanced machine learning models, while also allowing me to explore new technologies and methodologies.

Moreover, I am seeking a company that supports professional development, whether through access to new tools and technologies, opportunities for further education and certifications, or by providing a clear path for career advancement. A role that not only challenges me technically but also allows me to grow as a leader and mentor would be ideal.

Overall, I expect my new job to be a place where I can thrive professionally and personally, making a significant impact while continuing to evolve as an AI and data science professional.

Employment Preferences

Expected Base Salary

**,000 USD

Academic Degree

Experience

Skills

• Python
• MATLAB
• JavaScript
• R
• Flask
• Django
• MySQL
• PostgreSQL
• RabbitMQ
• Azure AI
• Azure Machine Learning Studio
• R Studio
• Deep Learning
• NLP
• Computer Vision
• Reinforcement Learning
• Prompt Engineering
• Apache Spark
• Git
• PyTorch
• Keras
• Hugging Face
• OpenCV
• Ros Py
• Spa Cy
• Open AI
• Apache Airflow
• Celery
• RAG
• DAG
• Amazon Neptune
• Amazon Bedrock
• Spark SQL
• GANs
• YOLO
• Tableau
• Homogeneous
• Consistent
• Autonomy
• Linear Algebra
• GPU Programming
• CUDA
• 3D Reconstruction
• Neural Networks
• GPU
• Geometry
• Software Engineering
• Object Detection
• Pose Estimation
• Probability Theory
• Rendering
• Software Engineering Practices
• Vector Calculus