👋 Hi, I’m Aditya Singh, a passionate tech enthusiast and a Master of Computer Science student at North Carolina State University. My expertise lies in AI, Machine Learning, Full-Stack Development, and Cloud Computing. I enjoy building innovative solutions that solve real-world problems.
Core Areas:
- Programming: C/C++, Python, Java, JavaScript, HTML/CSS, PHP
- Frameworks: FastAPI, Django, Flask, ReactJS
- Cloud Platforms: Azure, AWS (Textract, Lex, Kendra)
- AI/ML Tools: PyTorch, TensorFlow, Scikit-Learn, ChromaDB, OpenAI APIs
- Data & Analysis: SQL, Power BI, Pandas, Numpy
- DevOps: Docker, GitHub Actions, Temporal Workflows, REST APIs
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Master of Computer Science
North Carolina State University (2024-2026) -
Bachelor of Technology in Computer Science & Engineering
Institute of Technology, Nirma University (2020-2024)
- Built Agent Studio Lite, a full-stack platform enabling contract-intelligence agents to orchestrate Model Context Protocol (MCP) servers like Docs, GitHub, and ChromaDB.
- Developed a FastAPI backend integrated with Temporal workflows for orchestrating agent reasoning and retrieval tasks.
- Worked across the stack with React + Vite frontend and Azure Container Apps for scalable deployment.
- Focused on reliability, caching, and real-time performance monitoring of agent inference pipelines.
- Collaborated on large-scale plant image datasets to analyze environmental responses using computer vision techniques.
- Built and led a team in developing data analysis pipelines.
- Developed full-stack projects on AWS and Azure, focusing on OCR and text summarization for public services.
- Built a chatbot optimized for text and voice, using AWS Textract and AWS Lex.
- Created an AI-based Inventory Management System using ML/DL and Streamlit.
- Conducted comprehensive market analysis using Microsoft PowerBI.
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Enhanced Pothole Detection: Uniting YOLOv5 and Federated Learning
Confluence 2024 at Amity University
Applied YOLOv5 and federated learning models to classify road hazards. -
Multi-Model Chatbot and Image Classifier for Plant Disease Detection
ASCIS 2023 at Marwadi University
Developed a chatbot and image classifier for plant disease detection. -
CNN-based Emotion and Crime Detection for Public Safety
Elsevier Journal of Crime Justice (Under Review)
Designed and implemented CNN models for emotion and crime detection in public safety applications.
- Machine Learning, Deep Learning, Data Mining
- Big Data Analytics, Information Retrieval Systems
- Operating Systems, Theory of Computation
- Multi-Agent Systems & AI Workflows
- Large Language Model Evaluation & Reliability
- Scalable Cloud Infrastructure for AI Apps
"Constant learning and innovation are the keys to solving the world's toughest problems."
Thank you for visiting my GitHub profile! Let's connect and collaborate on exciting projects!