About Me 🚀
Get to know the person behind the code - my story, my passion, and what drives me every day
My Story 🇲🇽
¡Hola! I'm Daniel, a proud Mexican-American from El Paso, Texas - right on the border where two cultures beautifully collide. Growing up in a Hispanic household taught me the values of familia, hard work, and never forgetting where you come from.
I fell in love with CS because of the incredible freedom it gives you - the power to have an idea and actually bring it to life through code. There's something magical about turning thoughts into reality with just a keyboard and determination.
My journey has taken me from competitive programming at UTEP to internships at Meta and Google, but I've never lost sight of my mission: using technology to lift up my community and create opportunities for others who look like me.
Education 🎓
Bachelor of Science in Computer Science
Minor in Mathematics
The University of Texas at El Paso
Anticipated: December 2025
Major GPA: 3.93/4.00
Relevant Coursework 📚
Programming Languages 💻
Tools & Technologies 🛠️
My Journey 🚀
From competitive programming to Big Tech internships - here's how I've grown as a developer and leader
Meta
Improved advertiser diagnostic workflows and enhanced platform usability through React, JavaScript, CSS, and GraphQL implementations.
Key Achievements:
- Improved advertiser diagnostic workflow efficiency and shipped to 100% of users after successful A/B testing
- Increased the Integrations platform usability by 34% in onboarding completion rates by redesigning the page
- Enhanced system performance and maintainability by migrating legacy selectors to GraphQL queries
- Developed 'Share Diagnostic' feature using React, JavaScript, and CSS
Technologies Used:
University of Texas at El Paso
Developed comprehensive vulnerability assessment management systems and automated security workflows to enhance enterprise cybersecurity operations.
Key Achievements:
- Reduced scan management time by 40% with React.js and Flask portal
- Achieved 100% reduction in manual email generation through Python automation
- Improved vulnerability remediation rates by 40% with automated SQL processing
- Integrated Nessus Manager for efficient network vulnerability monitoring
Technologies Used:
University of Texas at El Paso
Pioneered UTEP's inaugural participation in ICPC as lead programmer, representing the university in Division 1 competition.
Key Achievements:
- Lead programmer for UTEP's first-ever ICPC team
- Successfully completed Division 1 competition challenges
- Demonstrated advanced algorithmic problem-solving under time constraints
- Collaborated effectively in high-pressure team environment
Technologies Used:
Meta
Architected a comprehensive full-stack running application ecosystem with ML-powered features and real-time social networking capabilities.
Key Achievements:
- Built full-stack running app with React, Node.js, and Prisma ORM
- Reduced route planning time by 42% with ML-powered recommendations
- Implemented advanced pathfinding algorithms (A*, Greedy)
- Developed real-time social features with WebSocket integration
- Created challenge management and run club interaction systems
Technologies Used:
Selected as one of 180 students nationwide for advanced coursework and mentorship in Applied Data Structures & Algorithms and Software Development Studio.
Key Achievements:
- Completed advanced courses in Applied Data Structures & Algorithms
- Participated in Software Development Studio projects
- Received one-on-one mentorship from Google engineers
- Built professional network and received career planning support
- Collaborated in 3-person team to build personalized health app
Technologies Used:
AT&T
Completed comprehensive training program in cutting-edge telecommunications and cloud technologies.
Key Achievements:
- Mastered network troubleshooting techniques
- Gained expertise in 5G technology strategy
- Learned cloud computing fundamentals
- Participated in executive leadership sessions
Technologies Used:
Bloomberg
Selected as one of 40 students to collaborate with Bloomberg engineers on building financial technology applications.
Key Achievements:
- Built robust message queue system using RabbitMQ
- Enhanced real-time data processing capabilities
- Mastered Docker containerization
- Gained financial domain knowledge (Tickers, Industry Sectors)
Technologies Used:
My Projects 💻
From hackathon winners to complex systems - here's how I turn ideas into impactful solutions
ATHLYTIX
AI-Powered Athlete Analysis Platform 🥊
Built a full-stack web platform in a team of four that analyzes athlete performance videos, leveraging Python, React, Supabase, PostgreSQL, and MediaPipe, to deliver technique insights, injury risk alerts, and growth metrics.
Key Features:
- 🥊 CNN-powered 'telegraph detection' model
- 🚀 Increased recruitment efficiency by 75% in gym-fighter matching simulations
- 🎯 76.7% strike prediction confidence with MediaPipe skeletal tracking
- 📊 Real-time joint angle motion analysis
- 🤖 Google Gemini 2.5 Flash for expert-level technique assessment
Impact Metrics:
efficiency
75% recruitment improvement
accuracy
76.7% strike prediction
innovation
AI-powered analysis
Technologies:
My File System
Advanced Systems Programming in C
Engineered a high-performance in-memory filesystem in C using FUSE, enabling persistent storage through seamless backup integration while ensuring low-latency data access.
Key Features:
- 🚀 Optimized block allocation algorithms
- 🔧 Advanced fragmentation mitigation via block merging
- 📍 Offset-based addressing for enhanced portability
- 🗂️ Hierarchical directory structure with linked lists
- 💾 Seamless backup integration and persistence
Impact Metrics:
performance
40% faster file operations
memory
Reduced fragmentation by 65%
reliability
99.9% data integrity
Technologies:
Running App
Meta University Capstone
Comprehensive ML-powered running ecosystem with intelligent route generation, social networking, and personalized fitness tracking for the running community.
Key Features:
- 🤖 ML-powered route recommendation system
- ⚡ 42% reduction in route planning time
- 🏃♂️ Advanced pathfinding algorithms (A*, Greedy)
- 👥 Real-time social networking features
- 🏆 Challenge management and run club interactions
Impact Metrics:
users
1000+ beta testers
efficiency
42% faster route planning
engagement
85% user retention rate
Technologies:
GIG Match
BorderHacks Winner 🏆
Revolutionary full-stack platform bridging employment gaps for low-income workers through intelligent AI-powered matching algorithms and real-time job connections.
Key Features:
- 🏆 BorderHacks Hackathon Winner
- 💼 Direct worker-employer matching system
- 🚀 Real-time profile updates and applications
- 🔐 Secure JWT authentication flow
- 📱 Fully responsive design
Impact Metrics:
users
500+ potential users reached
efficiency
60% faster job matching
social
Addresses income inequality
Technologies:
🏆 BorderHacks Winner
Health App
Google Tech Exchange Project
Comprehensive health platform with personalized nutrition tracking, AI-powered mindfulness features, and advanced progress analytics using Google Cloud technologies.
Key Features:
- 🧠 AI-powered personalized mindfulness hub
- 📊 Advanced progress tracking with BigQuery
- 🎯 Tailored meditation sessions and wellness messages
- 📈 Interactive data visualization and insights
- 🤝 Collaborative team development (3 members)
Impact Metrics:
wellness
90% user satisfaction
insights
Real-time health analytics
personalization
AI-driven recommendations
Technologies:
Smart College Advisor
Borderland Hackathon Champion 🥇
AI-driven decision tree model empowering first-generation students with personalized college recommendations based on comprehensive socioeconomic factors.
Key Features:
- 🥇 First Place - Borderland Smart City Hackathon
- 🎯 AI decision tree for college recommendations
- 📊 Multi-factor analysis (education, FAFSA, salary projections)
- 🎓 Focused on first-generation student success
- 🏛️ Presented to City of El Paso officials
Impact Metrics:
students
Targets 10,000+ first-gen students
accuracy
92% recommendation accuracy
social
Addresses educational inequality
Technologies:
🏆 Borderland Smart City Hackathon Winner
Leadership & Impact 👥
Building community, empowering the next generation, and creating lasting change in tech education
President, Coding Interview Club
August 2024 - Present
Leading the Coding Interview Club to unprecedented success, transforming it into UTEP's premier tech career development organization. Our mission: empowering students to land their dream tech roles while building a supportive, inclusive community.
Key Activities & Programs:
Mock interview sessions
Personalized technical interview prep
LeetCode problem-solving workshops
Algorithm and data structure mastery
Resume review and feedback
Professional document optimization
Career preparation events
Industry readiness training
Networking opportunities
Professional connection building
STEM outreach to Hispanic youth
Community empowerment initiatives
Our organization presented at the Great Minds in STEM (GMIS) Conference, sharing our successful strategies for helping students across the United States land tech internships and full-time roles.
Promoting STEM education among Hispanic youth through community partnerships, mentorship programs, and inspiring the next generation to pursue careers in technology.
Providing comprehensive support from technical interview preparation to professional networking, with a 95% success rate in helping students secure their target roles.