I am an AI and Quantum Computing builder with an Electronics and Communication Engineering background. I focus on developing practical, research-driven systems involving artificial intelligence, quantum workflows, cloud-based backend services, automation, and intelligent decision-making.

My work combines software engineering, experimentation, simulation, and real-world problem solving.

• Quantum Reinforcement Learning for decision-making applications
• Quantum optimization and hybrid quantum-classical workflows
• AI-powered RAG systems and document intelligence pipelines
• FastAPI, Django, PostgreSQL, Azure, and cloud deployment
• Applied machine learning, automation, and intelligent agents
• Assistive technologies, embedded systems, and human-computer interaction

Python • Scikit-learn • PyTorch • TensorFlow • Reinforcement Learning • Generative AI • RAG • Vector Databases

Qiskit • PennyLane • Cirq • Amazon Braket • Quantum Optimization • QAOA • Variational Algorithms • Quantum Machine Learning • Quantum Chemistry • Quantum Drug-Discovery

FastAPI • Django • REST APIs • PostgreSQL • Amazon Web Servces • Docker • GitHub Actions

MATLAB • Arduino • Sensor Systems • Data Visualization • Simulation • Technical Documentation

Exploring hybrid quantum-classical reinforcement learning methods for structured decision-making, optimization, and comparative benchmarking against classical reinforcement learning baselines.

In this We used Adaptive - Quantum Algorihm to optimize few nitty-gritty areas in fields where Classical methods were unable to resolve

This is an AI Hackathon Judge project built to replace mannual jury for getting first three winners in the Hackathon Judge project.

Developing document-driven AI workflows that combine PDF ingestion, embeddings, vector retrieval, APIs, Azure cloud services, and retrieval-augmented generation.

It is used for delegating the tickets the IT companies daily receive to required domain systems and AI automate resolving.

An assistive human-computer interaction system designed to translate head movement into cursor-control input using sensor data, Arduino-based hardware, and calibration logic.

An Arduino and MATLAB-based system for ultrasonic object detection, rotational scanning, and real-time polar visualization.

• Build practical prototypes with clear technical documentation
• Compare approaches using measurable baselines and experiments
• Use clean repository structures, branches, pull requests, and issues
• Focus on reproducible research and deployable software systems

_{Recent public GitHub activity across commits, pull requests, reviews, issues, and discussions.}

• AI and Quantum Computing research projects
• Quantum optimization and quantum machine learning
• Reinforcement learning and decision-making systems
• RAG, agentic AI, and cloud backend applications
• Open-source engineering and research-focused projects
• Freelance on Quantum Computing and AI based projects from clients.

• LinkedIn: Adithya Phani Thota
• Portfolio: Adithya Phani Portfolio
• GitHub: @Adithyaphani

Building at the intersection of AI, quantum computing, cloud engineering, and applied research.