Resume

Multiple NASA engineering programs focusing on mission design, proposal writing, and systems engineering

• L'SPACE MCA (Oct 2025 - Present): Mission formulation through Pre-Phase A and Phase A cycles; developed CONOPS, requirements trees, trade studies, and mission architecture
• L'SPACE NPWEE (Jun-Sep 2025): Engineer I on Cold-Welding Robotic Attachment System proposal; led KPP derivation, TRL assessment, and served on Review Panel
• NCAS Mission 3 (Jun-Jul 2025): Led multidisciplinary team developing NASA-style concept proposal; presented at NASA field center
• NCAS Mission 2 (Apr-Jun 2025): Computer Engineer on lunar rover mission; designed autonomy, navigation, and communication subsystems
• NCAS Mission 1 (Jan-Mar 2025): Completed foundational systems engineering and mission lifecycle curriculum

Founded AI company developing innovative AI solutions and computing technologies

• Building AI-powered products leveraging cutting-edge machine learning and computing capabilities
• Developing specialized AI assistants with advanced conversation memory and interactive visualizations

Specialized coursework in astrophysics, astronomy, and space science with hands-on research projects

• Completed coursework in stellar evolution, orbital mechanics, and cosmology
• Telescope operation, data analysis, and simulation-based learning on celestial dynamics
• Applied computational tools to solve real astronomy and astrophysics challenges

Designed innovative forklift attachment system for national digital design competition

• Awarded 2nd Place in Toyota Material Handling Digital Design Competition
• Created comprehensive design package using Autodesk Fusion360/AutoCAD
• Presented to judges from Toyota and Autodesk, recognized for innovation and technical feasibility

Collaborated on LLMs, autonomous agents, reinforcement learning, and AI ethics

• Hands-on work with model deployment, vector databases, RAG pipelines, and GPU optimization
• Developed AI projects with feedback from industry mentors and LA tech community

Competed in multi-round cybersecurity challenges across Windows, Linux, and network environments

• Identified and remediated vulnerabilities, hardened systems, and applied security best practices
• Collaborated on system hardening, forensics, policy development, and incident response

7.6B Parameter Language Model

Python • PyTorch • Hugging Face Transformers

Trained LLM on 100GB+ dataset; achieved 500ms response time; deployed serving 1,000+ queries daily

SpAIder - AI Assistant Suite

Next.js • TypeScript • Groq API • React Three Fiber

4 specialized AI chatbots with personality modes, conversation memory, and interactive 3D visualizations

NASA Flight Control System

Python • C++ • Control Systems • Sensor Fusion

Autonomous navigation processing 200+ sensor inputs/sec; 99.7% trajectory prediction accuracy; 35% latency reduction

Monte Carlo Optimization System

Python • NumPy • Parallel Processing • MPI

60% faster processing (10h → 4h) on 1M+ simulations; 95% efficiency across 16 CPU cores