Aditya Singhal

About

Curious problem-solver with experience building full-stack, machine learning and data-driven solutions across cybersecurity, defense analytics and healthcare projects. Interested in creating intuitive, practical technology that bridges logic and real-world needs.

Experience

• Internship in Full Stack and Machine Learning project
  Indian Cyber Crime Coordination Centre (I4C) - MHA · Delhi
  Jun 2026 – Jul 2026

  Built an HTML/CSS investigation dashboard for AML forensic analysis, consolidating mule account case data to support RBI/CFCFRMS with API integration. Consolidated CPV and KYC documentation across multiple banks into a unified reporting structure, improving turnaround on NCRP/CFCFRMS concept notes and forensic talking points for fraud cases.

• Data Science & Development Intern
  Defence Research and Development Organisation (DRDO) · Delhi
  May 2025 – Jun 2025

  Built an interactive search analytics dashboard using Python (Dash, Plotly) to visualize user search patterns across defense-related data categories, improving data-driven decision-making for intelligence teams. Developed real-time data processing pipelines by connecting MySQL databases to dynamic visualizations, enabling DRDO analysts to track trends in classified search logs with filters for time, category, and keyword frequency. Enhanced threat detection insights by implementing AI-powered heatmaps, time-series forecasting, and user engagement metrics, reducing manual analysis time by 40% for security teams.

Education

• Bachelor of Technology
  VIT Bhopal University
  Computer Science · Jul 2027
• XI-XII
  Delhi Public School Ghaziabad
  2020 – Jul 2022

Skills

Tools / apps / platforms

Languages

Projects

• Human Anatomy and Physiology Visualisation Tool
  Blender, Unity, MediaPipe

  Interactive AR/VR tool for visualizing human anatomy using 3D modeling and immersive rendering. Integrates ML pose estimation to dynamically overlay anatomical labels in real time.

• Smart Fall Detection Application
  Java, Flask, Firebase, Raspberry Pi, Android

  IoT-enabled Android app with real-time motion sensing and Raspberry Pi integration to detect falls and trigger emergency alerts. Uses a Flask backend for accelerometer analysis and secure cloud sync.

• Secured QR-Based SFTP
  Ubuntu Server, OpenSSH

  Developed a secure SFTP solution with QR-based authentication, MFA and audit logging for government agencies. Deployed with OpenSSH hardening, Fail2Ban and IP whitelisting for enhanced security.

• Pneumonia Detection System
  Python

  AI-powered system to detect pneumonia from chest X-rays with 95% accuracy, reducing diagnosis time by 70%. Designed a user-friendly interface for doctors to enable quick, reliable analysis.

Courses & certifications

• Blockchain and its applications · NPTEL

🏆 Achievements & awards

• Upcoming IEEE Publication on CNN Architectures for Pneumonia Diagnosis · 2025

  Authored and selected to present research at IEEE EAIC 2025, scheduled for IEEE Xplore publication.

• IEEE ICDCC 2024 Publication · 2024

  Published peer-reviewed research on an IoT and ML-driven decision support system for proactive pest/disease management in agriculture.

⚽ Extracurricular activities

• GSoC Innovators Club

  Organized and led sessions to raise awareness about Google Summer of Code, guiding students on application strategies, project selection and open-source contributions. Coordinated hackathons and seminars to foster technical skills and collaborative problem-solving.

• Health Hack Organiser

  Spearheaded the Health Hack hackathon in collaboration with Johns Hopkins University USA, overseeing 1500+ participants and 30+ mentors and ensuring flawless execution.

📚 Publications

• IEEE ICDCC 2024 Publication ↗ · 2024