Naghul Adhithya

Naghul Adhithya Venkateswaran

Incoming Freshman @? ’30 || CS Intern @OSU, IIIT, DTU, Cross the Skylimits |
2x Springer Papers | Research @NYAS, UIC, Incognito Blueprints | Founder @awakened (5M+ Views) | Head Boy | 3x Hackathons

Tiruchirappalli, Tamil Nadu, India

Resume LinkedIn GitHub

About

I build AI systems & advance research in machine learning & computer vision, from drowsiness detection & biometric recognition to diffusion models & multimodal reasoning.

Beyond tech, I lead teams, mentor students & push my limits through running and strength training. Fueled by curiosity, I design & create impact that truly changes the game.


Reach out at v.naghuladhithya@gmail.com


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%
    • Activities:
    • Head Boy - Representing 2000+ students; led institutional events and inter-house comps.; mana. school's social media presence.
    • STEM Club Lead (2023–25) - Science & Math; organized quizzes, workshops, and CBSE prep sessions.
    • Editor, School Magazine - Curated and managed editorial content for magazine.
    • VVM State Topper - Ranked 1st in district, 11th in State (Tamil Nadu) in national science exam.
    • PRAYAAS Research Program - Submitted science research proposal under NCERT’s national program.
    • UNICEF–ATL Challenge - Submitted social-impact project under Atal Innovation Mission.
    • INSPIRE–MANAK - Proposed project under the Government of India INSPIRE–MANAK scheme.

Experience

2025

2023-Present

Computer Science Intern

Delhi Technical Univeristy
June 2025- Sep 2025
Delhi, India · Remote
  • Developed a multimodal biometric recognition system integrating keystroke dynamics and additional biometric modalities, achieving 99.47% accuracy.
  • Implemented deep learning models optimized with metaheuristic algorithms, improving classification performance and feature extraction efficiency.
  • Evaluated system robustness and scalability across multiple biometric inputs, ensuring reliable identification under diverse conditions.
  • 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
    • 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%.
    • Optimized diffusion sampling and prompt conditioning for semantic-aware latent colorization, enhancing texture preservation by 20%.
  • 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.

    Founder

    awakened · Self-employed
    April 2025 - July 2025
    • ‣ Built a high-impact vlog/blog community on YouTube and Quora, scaling to 5M+ views across educational and motivational content.
    • Create gym and running-focused motivational videos on Instagram, reaching 50K+ views and cultivating a wellness-oriented student following.
    • Developed daily challenge systems to enhance academic consistency and discipline, driving a 25% increase in user engagement.

    2024

    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.
  • Prof.Constance J. Jeffery

    • 2023

    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

    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

    This paper presents a real-time driver drowsiness detection system using computer vision techniques. The system monitors the driver's eye aspect ratio (EAR) to detect signs of fatigue and alert the driver before accidents occur.

    The proposed method achieves high accuracy in detecting drowsiness states and can be integrated into existing vehicle safety systems.

    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

    This research focuses on developing a real-time vehicle detection and counting system using YOLO (You Only Look Once) algorithm for efficient traffic management.

    The system demonstrates high accuracy in detecting and counting vehicles in various traffic conditions, providing valuable data for urban planning and traffic optimization.

    Research Paper
    Sep 26, 2023

    AI-Driven ERP Systems for Small & Medium Enterprises

    ERP SME AI
    Naghul Adhithya et al.
    View Paper

    This paper explores the integration of artificial intelligence into Enterprise Resource Planning (ERP) systems specifically designed for Small and Medium Enterprises (SMEs).

    The research demonstrates how AI capabilities can enhance traditional ERP functionalities, providing SMEs with advanced analytics, automation, and decision support tools previously available only to larger corporations.

    Submitted (Waiting)
    2025

    Intelligent vision based system for overtaking of vehicle

    Computer Vision COCO MobileNet-SSD
    Naghul Adhithya
    View Paper

    This research proposes an intelligent vision-based system for vehicle overtaking assistance using COCO dataset and MobileNet-SSD architecture.

    The system analyzes road conditions, vehicle positions, and environmental factors to provide safe overtaking recommendations, potentially reducing accidents during overtaking maneuvers.

    Certifications & Courses

    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