SecureVault
completePost-quantum cryptography implementation using ML-KEM-768 with hybrid classical+PQC protection. Addressing emerging quantum computing threats.
Starting Comcast CORE Cybersecurity • July 2026
Exploring PhD Programs • Fall 2027
Building accessible technology with communities, not just for them
Recent CS graduate from FIU focused on security, clean architecture, and building technology that actually works for everyone, especially people who often get overlooked.
About
Background & Approach
I graduated from Florida International University with a degree in Computer Science and will be starting as a CORE Cybersecurity Associate at Comcast in July 2026. Most of what I know comes from building things, breaking them, and figuring out how they work. I get bored easily, so I am always starting new projects instead of copying what already exists.
I care more about security and clean code than shipping fast. Technology should work for everyone, not just people who can afford it or already have access. Right now I am building SignBridge as a possible PhD thesis foundation, SecureVault for post-quantum cryptography, and Outlook Parasite Search.
The most important part is that I'm building SignBridge with and for the Deaf community. That includes revenue sharing and community ownership from day one. That is the only way I'm willing to build it. I am currently exploring PhD programs for Fall 2027 that align with my interests in ethical AI, post-quantum security, and accessibility technology.
Technical Skills
Frontend
React, TypeScript, Tailwind, HTML/CSS
Backend
Python, FastAPI, PostgreSQL, Redis
Tools & DevOps
Git, Docker, Linux, VS Code
Security
Network Security, PQC, Wireshark, Nmap, Burp Suite
Featured Work
# ASL Recognition System
class SignDetector:
def process_frame(self, frame):
landmarks = self.extract_hands(frame)
prediction = self.model.predict(landmarks)
return prediction# Data Augmentation Pipeline
def augment_signs(video_path):
augmented = []
for angle in [-15, 0, 15]:
rotated = rotate_video(video_path, angle)
augmented.append(rotated)
return augmented# Community-First Development
class CommunityModel:
def collaborate(self, community):
feedback = community.collect_input()
self.model.adapt(feedback)
revenue = self.generate_revenue()
return community.distribute(revenue)SignBridge
Building ASL recognition technology with the Deaf community as partners and co-owners, not just users. SignBridge uses computer vision and hand landmark detection to improve accessibility and communication, with participatory design, revenue sharing, and community ownership from day one.
This is not just about technical accuracy. It is about ethical AI. I am exploring this work as a potential PhD thesis focused on how machine learning systems can be built through real community collaboration, with transparency and mutual benefit.
Community Partnership
Partners from day one
Revenue Sharing
Fair compensation model
Ethical AI
Transparent & accountable
Python
MediaPipe
LSTM
React
Join the Research
Deaf signers interested in building ethical ASL technology together. No coding required.
Other Projects
Outlook Parasite Search
55%Semantic email search using embeddings. Finds emails based on meaning, not just keywords.
Binary Quest
CompleteInteractive game teaching binary search algorithms through gameplay.
View on GitHub →Banking System
CompleteFinancial simulation to understand how banking systems work internally.
View on GitHub →
Get In Touch
Let's work together
Open to opportunities, collaborations, or just conversations about technology and accessibility. I usually respond within 24 to 48 hours.