AI & Software Engineer | Full-Stack Systems, Edge Computer Vision & Cloud ML
🎓 M.Eng. in Computer Science — Virginia Tech

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I'm a full-stack developer who likes building apps that make everyday life easier—whether that's automating repetitive tasks or creating useful tools for small businesses. I build all my projects from scratch, handling everything from the initial design down to fixing every bug that pops up. I just really enjoy solving real problems with code and am looking for opportunities to jump in and contribute.

• Edge Computer Vision: Multi-node camera pipelines, NPU acceleration, & real-time tracking
• LLM & Document Intelligence: Multi-format parsing pipelines, OCR, & zero-hallucination prompt guardrails
• Backend Systems: Production RESTful APIs, relational schema design, & role-based access control (RBAC)

Languages & Web:
 Python  •   C++  •   Java  •   JavaScript  •   TypeScript  •   C#  •   Angular  •   SQL  •   Bash

AI, ML, NLP & Vision:
 PyTorch  •   TensorFlow  •   OpenCV  •   Scikit-Learn  •   Pandas  •   NumPy  •  XGBoost  •  NLTK  •  Gensim  •   Azure OpenAI  •  👁️ Tesseract OCR

Backend, Cloud & DevOps:
 Flask  •   Spring Boot  •  ⚙️ Hibernate  •   Node.js  •   Docker  •   Jenkins  •   Git  •   Gradle  •   AWS  •   Azure  •   PostgreSQL  •   MySQL  •   MongoDB  •   Firebase

Hardware, Tools & Productivity:
 Raspberry Pi AI Hat  •  📷 Basler Ace 2 Cameras  •  🔌 PoE++ Networking  •   WebSockets  •  🕹️ 2-DOF Gimbals  •  📱 PowerApps  •  ⚡ Power Automate  •   Power BI  •  📂 SharePoint

Tech:  Python  •  🎯 YOLOv11  •   OpenCV  •  🧠 HailoRT  •   Raspberry Pi AI Hat  •  📷 Basler Ace 2  •   WebSockets  •  🔌 PoE++

• Performance: Boosted detection throughput from 2 FPS at 720p ➔ 30 FPS at 1080p via edge hardware offloading.
• Accuracy: Deployed a custom YOLOv11 model achieving 80%+ detection accuracy.
• Architecture: Engineered a multithreaded circular buffer with timestamped frame logging to eliminate frame drops during processing peaks.

Tech:  Flask  •   Azure OpenAI  •  👁️ Tesseract OCR  •  📄 Mammoth.js  •  📑 PDF.js  •  📊 SheetJS  •   Power BI  •  📱 PowerApps

• Impact: Reduced internal document review time by 80% across 1,000+ multi-format files.
• Pipeline: Built an end-to-end extraction engine parsing Word, PDF, Excel, and images into unified JSON payloads.
• Reliability: Applied strict prompt engineering guardrails to guarantee 100% grounded, zero-hallucination summaries.

Tech:  PyTorch  •  👁️ Torchvision  •   Scikit-Learn  •   OpenCV

• Results: Achieved 62.5% diagnostic accuracy across 21,165 images, coming within 3% of fully supervised baselines.
• Data Efficiency: Reduced human-labeled training data requirements by 50% using pseudo-labeling techniques.

Tech:  Flask  •   MySQL  •   SQL  •  🌐 REST APIs  •   HTML5  •   CSS3  •   JS

• Security & Auth: Implemented Role-Based Access Control (RBAC) across Admin, Vendor, and Customer personas.
• Analytics: Designed real-time vendor and store analytics dashboards using dynamic SQL aggregate queries.

 Microsoft Certified: Azure AI Fundamentals
 Google: IT Automation with Python