I built autonomous navigation SDKs for drones and UGVs from scratch

I'm Vishwa GW, an AI researcher and solo founder working at the intersection of machine learning, computer vision, and autonomous systems. I design and build intelligent systems end to end — from the models down to the hardware they run on.

My work spans deep learning, real-time computer vision, robotics, and autonomous drone navigation — systems that perceive, learn, and act in the real world. Alongside building, I publish research and write regularly about the field.

AI Researcher specializing in cutting-edge machine learning, deep learning, computer vision, and Robotics solutions. Focus on developing intelligent systems that understand, learn, and adapt to complex real-world challenges. Combining theoretical rigor with practical applications to create impactful AI technologies.

A look inside the day-to-day of building AI systems solo — the research, the failed runs, the hardware, and the long stretches between a rough idea and something that actually works.

Replace this with where it began — first machine, first line of code, the problem that hooked you.

Replace this with the prototype phase — repos shipped, articles published, what you learned the hard way.

Replace this with the founder chapter — what you're building now and where it's headed.

Advanced surveillance system with AI-powered monitoring, anomaly detection, and automated threat assessment capabilities.

Real-time object detection, multi-object tracking, and SLAM implementation for dynamic environment understanding.

Intelligent greeting system using advanced facial recognition for personalized interactions and identity verification.

Advanced fire and smoke detection using computer vision for early warning and emergency response systems.

Sophisticated tracking system maintaining object identity across frames under occlusion and complex motion patterns.

Innovative heads-up display for drone operations with real-time telemetry and intelligent navigation overlays.

Training intelligent NPCs using deep reinforcement learning techniques to enhance gaming experiences with adaptive and realistic behaviors.

An opensource simulator for testing and training autonomous drone algorithms

An AI-powered warfare analyzer software providing strategic insights and intelligence analysis in real time.

Using deep learning algorithmic approaches for classification and tracking of airborne objects in drone technology.

Real-time object detection capabilities integrated with autonomous drone systems for enhanced situational awareness and decision-making.

Using machine learning for eye tracking and control of digital objects in a digital screen.

Utilizing monocular vision techniques for autonomous path planning in drone navigation systems in real-time.

Real-time obstacle detection and avoidance network for autonomous drones using deep learning techniques.

Using gaming visual data for humanoid robot training and simulation.

Using deep learning for autonomous drone control and navigation.

AI-powered solution leveraging cutting-edge ML algorithms to revolutionize industry standards. Practical application of advanced AI technologies.

Comprehensive AI Assistant integrating multiple ML paradigms. Convergence of deep learning, computer vision, and NLP technologies. Inspired by Tony Stark's JARVIS.

An intelligent video security and surveillance system with state-of-the-art AI features. The system is powered by artificial intelligence, specially Deep learning and computer vision.

Data Training with Hybrid approach of Synthetic data and Gaming data for building AI models that provide Computer Vision-based solutions.

Developing robust algorithms for data-driven predictions. Focus on supervised, unsupervised, and reinforcement learning paradigms.

Designing neural network architectures for complex pattern recognition. Specializing in CNNs, RNNs, and transformer models.

Creating intelligent visual interpretation systems. Working on object detection, segmentation, and recognition tasks.

Building language understanding systems. Research includes text analysis, language models, and conversational AI.

creating training data set with synthetic data and gaming data and training AI models for better and more accurate performance.

Designing and implementing robotic systems with AI integration. Research includes autonomous navigation, manipulation, and control systems.

Medium research article covering hardware teardown, firmware analysis, and initial autonomy experiments.

Medium research article that covers my research on Vision-language models and their future.

Medium research article that explains my research on using human-pose estimation for intelligent AI-powered surveillance.

Medium research article on how the future can be achieved with smart home AI.

Medium research article that covers my research on using hand pose estimation for controlling drones.

Medium research article that covers my view on future of and human and AI co-existence.

Medium research article that covers a small review on billionaire entrepreneur and investor Peter Thiel's most famous book.

Medium research article that covers my research on using geospatial data for autonomous aerial navigation operations.

Medium research article that covers my research on Visual Simultaneous Localization and Mapping (VSLAM) technology for autonomous aerial operations.

Profile on founding Falcon Eye AI and building a perception-first platform that fuses sensor data to track GPS-denied, radio-silent drone swarms that evade traditional RF detection — while leaving operational decisions to human commanders.

Coverage of Falcon Eye AI's approach to detecting and tracking autonomous drone swarms that evade jamming and RF detection, intentionally avoiding weapon-targeting capabilities in favor of threat awareness for operators.

System Active | All modules operational | © 2025 Vishwa GW

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