AI Engineer and Software Developer with a strong foundation in building full-stack applications and conducting cutting-edge research in artificial intelligence and quantum neural networks. Proficient in Python, TensorFlow, React, Node.js, and MongoDB, with hands-on experience developing scalable software solutions across both frontend and backend environments. Published author of multiple research papers exploring the intersection of AI, quantum mechanics, and consciousness, including architectures leveraging entanglement and data re-uploading. Adept at translating complex ideas into working systems—whether building AI models for NLP and computer vision, or deploying real-world apps with modern tech stacks. Comfortable leading technical projects, collaborating in Agile teams, and delivering solutions that combine scientific insight with practical impact.
Programming Languages:
Python, JavaScript (ES6), SQL, Bash, C, C#
Frontend Development:
Reactjs, Redux, Tailwind CSS, Nextjs, Flutter
Backend & Databases:
Nodejs, Expressjs, MongoDB, PostgreSQL, Firebase
AI & Machine Learning:
TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face Transformers, XGBoost, Keras, LSTM, GANs, CNNs, NLP, Computer Vision, Reinforcement Learning
Quantum Computing & Research:
Qiskit, PennyLane, Quantum Neural Networks, Hybrid Quantum-Classical Models, Research Publication & Academic Writing
DevOps & Cloud:
Docker, Git, GitHub Actions, AWS (EC2, S3), Azure, REST APIs
Tools & Development Workflow:
VS Code, Git & GitHub, Docker, Postman,, REST/GraphQL APIs, JSON, NPM/Yarn, ESLint/Prettier,, Firebase Console
Project & Agile Methodologies:
Agile Scrum, GitHub Projects, Sprint Planning, Code Reviews, CI/CD pipelines (GitHub Actions)
Soft Skills:
Technical Writing, Research Publication, Team Collaboration, Client Communication, Project Management