Final-year B.Tech student in Computer Science and Engineering (Artificial Intelligence and Machine Learning) with a deep passion for AI innovation and problem-solving. As an aspiring AI engineer, I’m driven to create intelligent solutions that tackle real-world challenges and push the boundaries of what’s possible in the AI landscape. Visit my page @ansonsajugeorge.online
- Programming Languages: Comfortable with scripting and development using Python, JavaScript, and Shell Scripting.
- AI & ML Proficiency: Skilled in building and deploying models using PyTorch, TensorFlow, and Keras; experienced in OpenCV for computer vision tasks.
- MLOps & DevOps: Familiar with MLflow for experiment tracking and Docker for containerized development.
- Libraries & Tools: Practical experience with Pandas, NumPy, Scikit-Learn, Matplotlib, and related data science libraries.
- System-Level Knowledge: Hands-on with NVIDIA GPU acceleration, CUDA, cuDNN, Intel MKL-DNN, and WSL setups for machine learning pipelines.
- 🎓 Pursuing my degree in CSE AIML, gaining expertise in deep learning, data science, and computer vision.
- 💡 A natural problem-solver with a talent for approaching complex issues analytically and innovatively.
- 👨🏫 A leader who thrives on collaboration, guiding teams and projects toward success with a positive, hands-on approach.
- 🌱 An avid learner, always keeping up with emerging trends in AI, ML, and technology to expand my knowledge and skill set.
- 🏆 Actively participating in hackathons and challenges to hone my skills and build a network with other tech enthusiasts.
- AI/ML Model Development: Designing and building robust machine learning models for a range of applications, from image recognition to predictive analytics.
- MLOps & Deployment: Skilled in model lifecycle management and deployment, from training to production, ensuring models are ready for real-world use.
- Web Development: Crafting interactive, responsive web experiences using HTML, CSS, JavaScript, and frameworks like AngularJS.
- Data Collection & Augmentation: Experience in combining datasets and applying data augmentation techniques to enhance model accuracy and robustness.
- Computer Vision Applications: Working on AI-driven systems like thermal surveillance and crop disease detection, using deep learning to interpret visual data effectively.
- Cross-Platform Development: Proficient in setting up and maintaining environments on Linux (Fedora and Ubuntu) and Windows for GPU programming, CUDA support, and ML workflows.
- Community Engagement: Active in AI and tech communities, sharing knowledge and learning from others to grow collectively.
- Microsoft Certified: Azure AI Fundamentals
- Google Cloud Computing Foundations
- Cisco: PCAP (Python), CLA (C), Cybersecurity Essentials
- Infosys Springboard: Java Fundamentals, IoT Edge Analytics
- Duke University: Introduction to Machine Learning
- Great Learning Academy: Pandas and NumPy
- Intel Unnati: Applied AI/ML Webinar
- Tableau Hackathon: Data Science for Social Good
- Innovative Thinker: Always exploring new solutions and methods to tackle existing and future challenges in AI.
- Detail-Oriented: Meticulous when it comes to model tuning, data handling, and debugging, ensuring quality in every step.
- Self-Starter: Proactively seeks knowledge, implements new skills, and takes initiative to explore uncharted paths.
- Collaborative: Enjoys working in teams, appreciates feedback, and values the power of shared ideas.
- Adaptable: Comfortable with multi-platform setups and quick to learn new tools and frameworks as required.
Feel free to explore my repositories to see what I’m working on and connect if you're interested in collaborating!