🎓 Adjunct Faculty & Software Developer @ Saint Louis University
💻 Frontend Engineer | AI Researcher | ML Developer | Educator
Welcome to my GitHub! I'm a passionate AI Developer and Frontend Engineer with a M.S. in Information Systems (GPA: 3.93/4.0) from Saint Louis University. I craft intelligent, scalable web systems blending Machine Learning and modern frontend development. I've mentored 300+ students, deployed 40+ full-stack projects, and built solutions with React.js, Python, AWS, and ML models.
“Technology is a language that connects intelligence, creativity, and purpose.” 🌠
- 🎓 M.S. in Information Systems, Saint Louis University (GPA: 3.93/4.0)
- 🧑🏫 Mentored 300+ students in Software Development, Advanced Software Development, and Applied Analytics
- 🚀 Built internal SLU web apps and automated iPaaS workflows, cutting manual workload by 40% and boosting performance by 30%
- 🧠 Researched ML/NLP with Word2Vec, XGBoost, CNNs, and PyTorch for scalable, interpretable systems
- ⚡ Fun Fact: I love turning complex data into 3D visualizations that feel out-of-this-world!
- Guided 20+ capstone projects using React.js, Node.js, Python, AWS, and BigQuery
- Deployed production-grade apps via Vercel, Firebase, and AWS
- Taught scalable software design and ML integration to aspiring developers
- Developed web apps with React.js, Vue.js, Python (Flask/Django), and AWS (Lambda, S3, RDS, EC2)
- Built analytics dashboards for real-time insights
- Advanced ML/NLP projects with Word2Vec, TF-IDF, and CNNs
| Project | Tech Stack | Highlights |
|---|---|---|
| CIFAR-10 CNN Model | PyTorch, CNN, Hugging Face | Achieved 92.59% test accuracy on CIFAR-10 with 9 convolutional layers. Demo |
| MoodFlix / VizFlix | React.js, Redux, OpenAI API, TailwindCSS | GPT-powered movie recommendations, boosting engagement by 30% |
| TubeFlix | React.js, TailwindCSS, Firebase | Adaptive video streaming for 1K+ videos, 30% faster load times |
| EliteNotes App | React.js, Firebase, NLP | 7 ML-powered features (transcription, tagging, summarization) |
| 3D PCA Visualization | Python, Plotly, Word2Vec | Visualized 10K+ word embeddings, reducing complexity by 85% |
| Apparel Recommender | Python, TF-IDF, CNN, Word2Vec | Improved recommendation accuracy by 20% with text & image embeddings |
- Architecture: 9 convolutional layers with batch normalization, max pooling, dropout, and 3 fully connected layers
- Dataset: CIFAR-10 (60,000 32x32 RGB images, 10 classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)
- Training: 100 epochs, SGD (momentum=0.9, weight decay=1e-6), CrossEntropyLoss, LR scheduling (initial 0.01, reduced on plateau)
- Data Augmentation: Color jitter, random perspective, random horizontal flip, normalization
- Usage:
from huggingface_hub import from_pretrained_pytorch model = from_pretrained_pytorch("chandu1617/CIFAR10-CNN_Model") ## 🖼️ Interactive Demo
Try it at chandu1617/cifar10-cnn-demo
Downloads: 31/month
- Languages: Python, JavaScript (ES6+), TypeScript, SQL, R, MATLAB
- Frontend: React.js, Vue.js, Next.js, Node.js, Express.js, Redux, Electron.js
- UI/UX: Figma, Responsive Design, WCAG/ARIA Accessibility
- Testing: Jest, Cypress, Unit/Integration/E2E Testing
- DevOps & Cloud: AWS (EC2, Lambda, S3, RDS), Docker, Vercel, Firebase, CI/CD
- Machine Learning: scikit-learn, TensorFlow, PyTorch, NLP, Word2Vec, VGG-CNN, XGBoost
- 🧾 First Author: “Enterprise Application Tool to Discover Midwest Job Trends”
- 🥇 Distinguished Student Award — Master’s Research & Academic Excellence
- 📊 Presented ML/AI research at CCSC Central Plains Conference @ Drake University
I share insights on AI, ML, and software development. Check out my latest posts:
🌐 Medium Blogs
⭐️ Thanks for stopping by! Explore my repos, try the CIFAR-10 demo, or ping me to collaborate! 😎