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, AWS, 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 Services • 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.

Developing a quantum-inspired optimization approach for trajectory planning, with a focus on improving selected mission parameters where classical optimization methods may become computationally expensive or limited.

An AI-powered hackathon judging system designed to assist in evaluating submissions and identifying top-performing projects based on defined scoring criteria.

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

An AI-based ticket routing system designed to classify incoming IT support tickets, assign them to the appropriate domain teams, and support automated resolution workflows.

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 projects involving Quantum Computing, AI, backend systems, and intelligent automation

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

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