GuardNet
[STATUS: ONLINE]Intelligent DNS Security system using Machine Learning to detect and block malicious domains in real-time.
Open to Work | Graduating May 2026
Distilling complex AI models into elegant, real-world solutions. Specializing in Deep Learning, Computer Vision, and NLP. Currently a Research Assistant at NYU focusing on facial morphing detection.
> Active systems: 3 identified. Chief Architect: Pratham Saraf
Intelligent DNS Security system using Machine Learning to detect and block malicious domains in real-time.
AI-powered nutrition assistant using Computer Vision to estimate calories and macronutrients from food images.
Smart Expense Tracking application leveraging NLP to automatically categorize transactions and generate insights.
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> Professional internships and industry contributions
Software Engineering Intern
Project Intern
Software Engineering Intern
> Formal training and academic achievements
M.S. Computer Science
Expected May 2026 • CGPA: 3.926/4.0
TA: Deep Learning — Assisting 120+ grad students
RA: AI & Neuroscience Research with Profs. Banerjee & Froemke
Coursework: Big Data, AI, Deep Learning, Info Visualization
B.Tech Data Science & Engineering
July 2024 • CGPA: 8.91/10.0
★ Dean's List Excellence in Academics Award
Focus: ML, NLP, Big Data Analytics, AI
Coursework: Data Structures, OS, ML, NLP, Networks
> Ongoing research initiatives at NYU
Prof. S. Banerjee, NYU • Jul 2025 - Present
Prof. Robert Froemke, NYU Langone • Jul 2025 - Present
Prof. Sun Qi, Immersive Labs • Jul 2025 - Present
> Full stack of capabilities and proficiencies
> Initialize communication sequence with System Architect
Full schematic of academic history, research publications, and technical stack available for extraction.
download DOWNLOAD_RESUME.PDFEstablish secure handshake via supported protocols.