LAKSHYA
AGARWAL
Code, connect, and create — the self-hosted way.
I'm a student at JK Lakshmipat University exploring the human side of artificial intelligence. My current research focuses on AI ethics, emotional intelligence, and human–AI interaction—understanding how AI systems can be designed to serve humanity with empathy and responsibility.
Beyond research, I'm a builder. I develop full-stack projects from the ground up: React frontends, Python backends, and Docker-based deployments. I'm passionate about self-hosting—running my own infrastructure gives me control, privacy, and deep insight into how systems work at every layer.
I believe the future of technology lies in thoughtful engineering—systems that are both technically sophisticated and genuinely useful. Whether it's voice-controlled AI assistants, secure home servers, or media platforms, I build to learn, and I learn to build better.
Exploring emotional AI, ethics, and human-centered design in machine learning systems.
Building production-ready applications with modern web frameworks and cloud-native tools.
Managing home servers, VPNs, media platforms, and secure remote access solutions.
Real-world systems I've built to explore AI, automation, and self-hosted infrastructure. Each project taught me something new about engineering at scale.
A conversational AI system built with Python, Ollama API, and real-time speech processing. Features natural language understanding, voice command execution, and text-to-speech responses—bringing AI interaction closer to human conversation.
A Jellyfin-inspired platform with a custom Python backend, React frontend, and Cloudflare Tunnel integration. Enables secure remote streaming, media management, and cross-device access—all without relying on third-party cloud services.
A Docker-based monitoring dashboard for managing multiple self-hosted services. Provides real-time status checks, resource monitoring, and quick access to all deployed applications—essential for maintaining a personal infrastructure.
A hardened Debian 12 server implementation with Tailscale VPN, custom firewall rules, and secure remote access protocols. Focused on privacy, data security, and network isolation—demonstrating infrastructure security best practices.
A blend of AI/ML expertise, systems programming, and infrastructure engineering—tools I use to build intelligent, scalable systems.
A comprehensive overview of my academic journey, technical projects, research interests, and hands-on experience building AI systems and infrastructure.
Local Agentic AI Browser
I'm exploring how AI systems can understand and respond to human emotions in ethical, meaningful ways. This work sits at the intersection of machine learning, psychology, and HCI—asking: Can AI be empathetic? How do we design systems that respect emotional context? What does responsible AI look like in practice?
I'm always excited to discuss AI research, collaborate on technical projects, or chat about self-hosting and infrastructure. Whether you're working on something interesting or just want to connect—reach out!