class SoftwareEngineer:
def __init__(self):
self.name = "Shams Rupak"
self.role = "Software Engineer Intern"
self.location = "New York 📍"
self.education = {
"MS": "Engineering AI @ Stony Brook",
"BS": "Applied Math & Statistics"
}
self.interests = ["AI/ML", "Full-Stack", "Quant Trading", "Fitness"]
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together 🚀")
me = SoftwareEngineer()
me.say_hi()🎯 Software Engineer with hands-on experience building AI-powered applications, ML pipelines, and full-stack solutions
🔧 Passionate about creating scalable systems that solve real-world problems through automation and intelligent design
💪 When I'm not coding, I'm either optimizing algorithms or optimizing my workout routine (30M+ fitness content views!)
|
Tech: Python, PyMuPDF, OCR, LlamaIndex, RAG |
Tech: JavaScript, Chrome APIs, Gemini API, HTML/CSS |
|
Tech: XGBoost, Scikit-learn, Pandas, joblib |
Currently Building: |
🤖 AI & Automation Extern @ Outamation (May 2025 - Jul 2025)
- 🔧 Engineered AI-powered document processing workflows using Python, NLP, PyMuPDF, and OCR
- 📊 Reduced manual document handling by 60% through intelligent automation
- 🚀 Built RAG-powered retrieval system with LlamaIndex for unstructured mortgage data
- 📈 Benchmarked open-source LLMs focusing on speed, accuracy, and context window optimization
🏥 Biomedical Informatics Bootcamp @ Stony Brook (Jan 2025 - Mar 2025)
- 🧬 Applied machine learning on biomedical datasets using Python
- 📊 Created data visualizations to derive actionable healthcare insights
- 🤝 Collaborated with interdisciplinary teams on real-world challenges
📱 Retail Mobile Expert @ T-Mobile (Jul 2024 - May 2025)
- 🎯 Exceeded 100% of monthly metrics using AI tools (ChatGPT, Apple Intelligence)
- 🚀 Led tech adoption initiatives across the team
- 💡 Streamlined sales workflows through intelligent automation
🔐 Web3 Security Analyst @ Webacy (Sep 2024 - Nov 2024)
- 🔍 Applied unsupervised ML for smart contract vulnerability detection
- 📊 Achieved 95%+ accuracy in blockchain risk categorization
- 🛡️ Enhanced data integrity through rigorous validation processes
Advanced ML/DL Transformers, LLMs, Computer Vision |
Cloud & DevOps AWS, Docker, Kubernetes |
System Design Scalable Architectures, Microservices |
I'm always excited to collaborate on interesting projects and discuss new opportunities!
⭐️ From ShamsRupak | Building the future, one commit at a time 🚀