I am a Computer Science Engineer specializing in Artificial Intelligence and Machine Learning, with a strong focus on designing and implementing intelligent systems that integrate AI into real-world applications. My work spans Machine Learning, Computer Vision, Robotics, and Local Large Language Model (LLM) infrastructure.
I am particularly interested in building privacy-focused, scalable AI systems, developing self-hosted AI infrastructure, Computer hardware & architecture and advancing intelligent automation through robust backend and AI integration.
I have research experience at the Defence Research and Development Organisation (DRDO), where I worked on reinforcement learning based robotics control systems using advanced simulation environments.
Defence Research and Development Organisation (DRDO), Pune
Robotics & Machine Learning Research Intern
Project: Reinforcement Learning Based Quadruped Handstand and Footstand using MuJoCo and JAX
- Developed reinforcement learning control strategies for quadruped robotic balance and posture stabilization
- Worked with MuJoCo physics simulation environment for robotics modeling
- Implemented and analyzed control policies using JAX-based reinforcement learning frameworks
- Contributed to robotics AI research involving simulation-driven learning and control optimization
- Artificial Intelligence System Design and Integration
- Machine Learning and Deep Learning
- Robotics and Reinforcement Learning
- Computer Vision Systems
- Local Large Language Model (LLM) Infrastructure
- AI Backend Architecture and Deployment
- Privacy-focused and Self-hosted AI Systems
- Intelligent Automation and AI-driven Applications
NeuroCourier
Multimodal AI agent supporting text and image input using locally deployed LLMs, designed for privacy-focused intelligent interaction. Can be accessed using Telegram Bot & WhatsApp Chat.
Anti-Cheat Engine
Computer vision–based AI proctoring system using face detection, gaze tracking, and behavioral monitoring to ensure examination integrity.
Local LLM Server
Backend infrastructure built with FastAPI to serve locally hosted large language models via structured APIs.
Encrypted Network Attached Storage (NAS)
Fully encrypted, self-hosted NAS infrastructure with secure multi-user access across platforms.
YOLOv8 Vehicle Detection System
Custom-trained object detection model for real-world vehicle classification and detection.
MiniZIP++ Archiver System
Custom archive format implementation with layered compression and encryption architecture in C++.
My objective is to contribute to the development of advanced AI systems, robotics intelligence, and scalable machine learning infrastructure, with a focus on solving real-world engineering problems through intelligent system design.
I am particularly interested in opportunities involving:
- AI Systems Engineering
- Robotics AI and Reinforcement Learning
- Machine Learning Infrastructure
- Applied Artificial Intelligence Research
I actively create and publish technical content focused on Artificial Intelligence, Machine Learning, Computer Systems, and Software Engineering. My content includes system implementations, educational tutorials, and practical engineering insights.
Platforms include:
- YouTube
- Medium
My objective is to contribute to the global technical community by sharing practical knowledge and real-world engineering experience.
Aditya Guha
Robotics & Artificial Intelligence / Machine Learning Engineer
+91 7304748055