My Journey
From computer engineering studies to leading AI innovations that generate millions in business value. Here's how it unfolded.
Career Timeline
Key milestones and achievements from education to industry impact
June 2025 - Present
Technical Project ManagerExperience
Responsible for managing the technical aspects of the hackathon.
February 2025 - Present
Technical AmbassadorExperience
Developed low-latency AI teaching assistant with 92% accuracy through Agentic RAG architecture.
Blog - From Old to Elite: How NYU hackathon winners embraced Snapdragon® X for their tech needs
July 2025
Featured in Qualcomm's Developer blog for winning the NYU hackathon with Snapdragon® X
Mentor - Qualcomm Edge AI Hackathon Finale - NYU
September 2025
Was invited to mentor students in building AI-powered solutions using Snapdragon® X at NYU
Mentor - Edge AI Hackathon
March 2025
Was invited to mentor students in building AI-powered solutions using Snapdragon® X at Northeastern University in Seattle.
Special Qualcomm HQ Visit
March 2025
Was invited to visit Qualcomm HQ in San Diego, CA to learn about the latest advancements in AI and their Chip Manufacturing Process.
May 2025 - August 2025
AI Innovator Intern IIExperience
Leading development of Agentic Copilot for Marketing team. Built ML models that saved $16M+ in annual revenue. Delivering the final presentation to the CEO and other executives at Florida HQ.
March 2025 - August 2025
AI Business FellowEducation
Diving deep into the world of AI with the industry leaders around the globe.
January 2025 - July 2025
Chief Technology OfficerExperience
Revolutionizing tourism with AI
September 2024 - Present
MS Computer ScienceEducation
Pursuing advanced studies in AI systems, machine learning, and next-generation computing technologies.
April 2024 - June 2024
Software Engineering InternExperience
Optimized PostgreSQL databases with Oracle compatibility, improving query performance by 23% for enterprise applications.
September 2023 - November 2023
Artificial Intelligence InternExperience
Engineered an AI-powered computer vision attendance system using YOLOv7 and TensorFlow, automating tracking for 200+ employees while reducing manual effort by 50% and boosting operational efficiency by 30% through cross-functional collaboration and Python-based optimization.
May 2023 - August 2023
SDE InternExperience
Transformed Java/Spring Boot applications using Agile practices and MySQL optimization, reducing customer complaints by 15% while accelerating new team member onboarding by 30% through streamlined CI/CD pipelines, comprehensive SDLC documentation, and seamless GitHub/Jira integration.
May 2022 - July 2022
Full Stack DeveloperExperience
Architected a high-performance full-stack dashboard with TypeScript and Svelte, delivering 30% faster load times and 20% higher client satisfaction through advanced caching mechanisms and seamless UI/UX design across MongoDB and PostgreSQL data layers.
July 2020 - June 2024
Computer Engineering GraduateEducation
Graduated with expertise in AI, machine learning, and advanced algorithms. Built foundation for future innovations.
Technical Expertise
Technologies and frameworks I work with regularly
AI & Machine Learning
Development
DevOps
Data & Infrastructure
Mind & Body Balance
My athletic pursuits directly enhance my technical abilities. Balance isn't just a philosophy—it's how I consistently deliver results.
Soccer
Soccer enhances my ability to collaborate in fast-paced development environments
"The field awareness I developed in soccer helps me anticipate project needs before they arise."
Baseball
Baseball taught me the importance of precision and patience - qualities I apply to debugging complex systems
"The discipline of batting practice mirrors the repetition needed to master coding patterns."
Yoga
Yoga helps me maintain mental clarity during complex problem-solving sessions
"Yoga taught me to approach AI problems with a calm, focused mind."
"The discipline I've cultivated through baseball, yoga, and soccer directly translates to my approach in AI and technology. A balanced athlete makes for a more innovative technologist."
What's Next
Currently
Building mutliple projects, serving at HackNYU & Qualcomm. Pursuing MS in Computer Science at NYU.
Looking For
Full-time opportunities in AI/ML engineering, technical leadership roles, or innovative startups building the future.
Expected graduation: May 2026