Jan Steve Daniel
Driven and self-motivated Integrated MCA (Artificial Intelligence) student at Parul University with a strong foundation in Generative AI, Large Language Models, and privacy-focused AI systems. Passionate about designing and building practical, production-oriented AI solutions that solve real user problems.
Founder of ARGUS, a local-first AI operating system concept exploring AI memory, personalization, and user-controlled data. Actively seeking AI / Software / Technology internship opportunities to contribute to impactful engineering initiatives, learn industry-grade workflows, and grow with an innovative organization.
Education
Parul University
Integrated Master of Computer Applications (MCA)
Relevant Coursework: Artificial Intelligence, Machine Learning Foundations, Data Structures & Algorithms, Database Management Systems, Software Engineering, Object-Oriented Programming, Operating Systems, Web Technologies.
Skills
Artificial Intelligence FundamentalsGenerative AI ConceptsLarge Language Models (LLMs)AI Product ResearchAI Productivity WorkflowsLocal AI SystemsAI AutomationPythonSQLHTMLCSSGit & GitHubVS CodeAI Development Tools (OpenAIAnthropicHugging Face ecosystem)Documentation & Research Tools (NotionMarkdownObsidian)Fast Learning AbilityResearch & Analytical ThinkingCreativity & InnovationAdaptabilityCommunication
Projects
ARGUS — Local-First AI Operating System
Founder & Builder
Architected a concept framework that minimizes user dependency on multiple fragmented cloud-based AI platforms by unifying essential AI functions into one integrated ecosystem. Designed with a local data storage philosophy, giving users complete ownership and sovereignty over their personal data and AI interactions. Explored core concepts of AI memory, contextual personalization, and continuity, enabling an assistant that adapts intelligently to each user over time.
Investigated software architecture patterns, LLM integration workflows, and product-level UX design as part of a self-driven engineering research initiative. Built 5+ AI prototypes and experiments exploring LLM workflows, local inference, and privacy-first AI system design.
LUKE AI — Personal AI Assistant Web Application
Designer & Developer
Designed and developed a fully functional web-based AI assistant with an intuitive UI, focusing on ease of use and rapid interaction. Integrated LLM-powered conversational capabilities to enable natural, real-time dialogue and task assistance. Implemented responsive front-end architecture using modern web technologies, ensuring cross-device compatibility and smooth performance.
Applied prompt engineering best practices to optimize response quality, tone, and reliability. Deployed the project on a public web platform, showcasing end-to-end product delivery from concept to live application.
Certifications
AI Fluency: Framework & Foundations
Anthropic
Generative AI Learning Path
Google Cloud
Currently Learning
Python (Advanced — OOP, APIs, Automation)
Machine Learning Foundations
Prompt Engineering (Advanced Techniques)
Git & GitHub (Professional Workflow)
LLM Application Development
API Integration & Backend Basics
AI Product Design & UX Thinking
Achievements & Activities
Built 5+ AI prototypes
Exploring LLM workflows, generative models, and local-first AI concepts.
Conducting independent AI research
Bridging theoretical concepts with hands-on engineering.
Actively engaged with the global startup ecosystem
Tracking emerging technology trends and entrepreneurship landscape.
Consistently upskilling
Through online platforms and technical communities to remain aligned with the fast-evolving AI industry.
Passionate advocate for privacy-first technology
User-owned digital experiences.
Languages
English
Professional Working Proficiency
Hindi
Tamil
Spoken
Telugu
Spoken
Urdu
Spoken
Punjabi
Spoken
Sanskrit
Reading & Writing