Naghul Adhithya - Portfolio

Summary

Who I Am

I’m a high school senior, AI researcher, and published author passionate about building intelligent systems that address real-world challenges—from road safety to environmental sustainability. With hands-on experience at the New York Academy of Sciences, the University of Illinois Chicago, and Incognito Blueprints, I work at the intersection of computer vision, machine learning, and large language models to develop adaptive and impactful technologies.

What Drives Me

Relentlessly curious and driven by purpose, I see life as a recursive codebase—where every challenge is a bug to debug, and growth is an infinite loop. I'm committed to advancing intelligence, exploring the limits of computation, and shaping a future where human and artificial understanding evolve together.

Education

PM SHRI Kendriya Vidyalaya NO.1, Trichy

May 2014 - May 2026

Grades:

Grades I-VIII: 90%+
Grade IX: 92.2%
Grade X: 94.4%
Grade XI: 90.4%
Grade XII (Predicted): 96.4%

Experience

2025

2023-Present

Head of Student Council (HeadBoy)

PM SHRI Kendriya Vidyalaya NO.1, Trichy

July 2025- Ongoing

Tiruchirappalli, Tamil Nadu, India

Elected as School Pupil Leader (Head Boy), representing 2000+ students across academic, co-curricular, and disciplinary spheres.
Team Lead Science & Math Club (2023-25) — organized quizzes, workshops, and exam prep sessions.
Led inter-house competitions and major institutional events, driving school-wide engagement and participation.

Computer Science Intern

Delhi Technical Univeristy

June 2025- Ongoing

Delhi, India · Remote

8-week research internship under Dr. Indu Singh, focusing on computer science and transfer learning models

Mentor: Dr. Indu Singh

CS Intern – OSU CETI Lab

The Ohio State University

June 2025- Aug 2025

Columbus, Ohio, United States · Remote

Research on Human vs LLM based solutions - Contributed to research exploring AI-assisted programming and human-AI problem-solving strategies.
Designed and implemented an object-oriented calculator, benchmarked it against an LLM-generated implementation to evaluate human versus AI approaches.

Mentor: Prof. Rajiv Ramnath

CS Intern

Indian Institute of Information Technology, Tiruchirappalli

May 2025-June 2025

Tiruchirappalli, Tamil Nadu, India · In-Person

Currently working on a research paper
Developed a LoRA-enhanced FLUX.1-dev framework for prompt-to-pencil sketch rendering and color image generation, boosting artistic style transfer accuracy by 15%.

Mentor : Dr. T Sugirtha

Visual Systems Intern – UI/UX & Engagement Design

Cross the Skylimits

June 2025-July 2025

India · Remote

Redesigned UI/UX for LinkedIn and Instagram, boosting engagement by 20%.
Developed scalable design systems, optimizing user flows for 30% higher conversions.
Conducted A/B testing to refine branding pipelines and visual narratives.

awakened

Founder

awakened · Self-employed

Apr 2025 - Present

Founded a vlog/blog-based community on YouTube and Quora, scaling to 5M+ views.
Designed daily challenge systems to boost academic engagement, increasing user participation by 25%.
Crafted SEO-optimized content strategies, enhancing outreach and inspiring educational success.

2024

Teaching Assistant – Cognitive Math

UCMAS

Apr 2022 - Dec 2024

India · On-Site

Mentored 100+ students across 8 UCMAS levels, improving calculation speeds by 30%
Designed mental arithmetic drills for competitive exam preparation.
Completed advanced abacus certification, enhancing cognitive training methods.

Team lead– Ethical AI for Vision Systems

The New York Academy of Sciences

Sep 2024 - Nov 2024 · 3 mos

New York, United States . Remote

Led a global team of four to develop an ethical AI-powered eye-tracking system, achieving 95% accuracy in detecting drowsy driving and misinformation, enhancing road safety.
Integrated OpenCV and TensorFlow for real-time vision processing, optimizing response time by 20%.
Ensured AI ethics compliance, mitigating bias and ensuring trustworthy outcomes.

Mentor: Krishna Balasubramanian (USA)

Research – AI for Environmental Diagnostics

University of Illinois Chicago

Sep 2024 - Nov 2024 · 3 mos

Chicago, Illinois, United States · Remote

Collaborated with a team of four to build a computer vision system for hydroponic rhizofiltration, improving filtration efficiency by 25%
Modeled nutrient flows using PyTorch and temporal inference, optimizing biofiltration diagnostics.
Visualized pollutant gradients with Matplotlib, enhancing urban water quality insights.

Dr.Constance J. Jeffery

2023

Research Fellow – AI-Augmented ERP Systems for SME Retail

Incognito Blueprintts

Aug 2023 - Oct 2023 · 3 mos

San Francisco, California, United States · Remote

Co-authored a research paper with a team of six, integrating Google Cloud AI, IBM Watson, and Microsoft Azure AI into open source ERP systems for SME retailers across USA, Spain, and India.
Enhanced operational efficiency by 25% using Python, pandas, and MySQL for multi-country data analysis
Reduced data breach risks by 20% with AI-driven threat detection and encryption.

Research Publications

Submitted (Waiting)

2025

Intelligent vision based system for overtaking of vehicle

Computer Vision COCO MobileNet-SSD

Naghul Adhithya

View Paper

Springer(Under-Review)

Dec 20, 2024

Real Time Driver Drowsiness Detection for Safe Driving

Computer Vision Safe Driving Eye Aspect Ratio (EAR

Naghul Adhithya

View Paper

Springer LNNS, Singapore

July 17, 2024

Real Time Vehicle Detection and Counting for Traffic Management System

Computer Vision YOLO Traffic Management

Naghul Adhithya

View Paper

Sep 26, 2023

AI-Driven ERP Systems for Small & Medium Enterprises

ERP SME AI

Naghul Adhithya et al.

View Paper

Certifications & Courses

Harvard University – CS50 Series:
- Introduction to Programming with Python
- Introduction to Artificial Intelligence
- Introduction to Cybersecurity
- Understanding Technology
- Programming with Scratch
Stanford University: Code in Place (Summer 2025)
University of Michigan: Python for Everybody
IIT Madras: Data Science and Artificial Intelligence
IIT Hyderabad: Advanced Driver Assistance Systems (ADAS)
(MIT OCW) : Introduction to Deep Learning
Google Cloud: Generative AI Path
Udemy: Machine Learning A-Z™: Hands-On Python in Data Science (42 hours)
University of California, Berkeley: REYES-STEM
HP LIFE:
- AI for Beginners
- Data Science and Analytics
- Introduction to Cybersecurity
Forage Virtual Experience Programs:
- Data Science – British Airways
- Software Engineering – Goldman Sachs
freecodecamp:
- Data Analysis with Python - (Numpy, Pandas, Matplotlib, Seaborn)
- Responsive Web Design
Whithat Jr: Game development & UI/UX

Awards & Honors

North Carolina State University Research Program

May 2025

Accepted into NC State’s 4-week research program with a $300 scholarship.

Could not attend due to personal reasons.

Young Entrepreneurs Bootcamp (YEB), BITS Pilani

January 2025

Accepted to participate in the Young Entrepreneurs Program at BITS Pilani.

Could not attend due to personal reasons.

Certificate of Merit — Vidyarthi Vigyan Manthan (VVM)

November 2024

Awarded first rank in the district and selected for the State Camp (Level II) in India’s largest science talent search exam