Building Intelligent, Data-Driven, and Secure Software Systems
B.Tech ICT @ Dhirubhai Ambani University (Formerly DA-IICT)
Research Experience in AI, Data Science, Cybersecurity, and Software Engineering
I am an aspiring Software Engineer and Research Enthusiast passionate about building intelligent, data-driven, and secure systems.
My interests lie at the intersection of Artificial Intelligence, Data Science, Cybersecurity, and Software Engineering, where I enjoy transforming research ideas into practical solutions for real-world problems.
- Artificial Intelligence and Machine Learning
- Intelligent Systems
- Data Science and Analytics
- AI for Cybersecurity and Trustworthy Systems
- Human-Centered Computing
- Research-Driven Software Engineering
- Machine Learning and Intelligent Systems
- Data Science and Applied AI
- System Design and Scalable Software Engineering
- Domain Generation Algorithm (DGA) Detection
- Advanced Data Structures & Algorithms
- Research-Driven Problem Solving
May 2026 – July 2026
- Investigating Domain Generation Algorithms (DGAs) for cybersecurity applications
- Developing machine learning models for malicious domain detection
- Applying statistical and behavioral analysis techniques to large-scale security datasets
June 2025 – October 2025
- Worked on applied machine learning and threat intelligence techniques for phishing detection and malicious URL analysis.
- Designed a multi-layered URL threat detection framework integrating:
- Threat Intelligence APIs
- DNS and WHOIS Analysis
- SSL Validation
- Fuzzy Matching
- Admiralty-based Risk Scoring
Key Outcomes:
- Achieved 90.5% classification accuracy across 1,056 real-world URLs
- Achieved 92.2% specificity and 87.2% recall
- Improved real-time performance through caching and parallel DNS queries
May 2025 – June 2025
- Worked on healthcare data mining and exploratory data analysis
- Contributed to AI-driven solutions addressing childhood stunting
December 2025
- Conducted field studies across 70+ households
- Co-authored an impact assessment report evaluating 105+ solar installations
An intelligent URL analysis framework combining machine learning, threat intelligence, and systems engineering techniques for malicious website detection using:
- Threat Intelligence APIs
- DNS and WHOIS Analysis
- SSL Validation
- Fuzzy Matching
- Typosquatting Detection
- Admiralty Risk Scoring
- Parallel DNS Queries and Caching
Key Features:
- Designed AURIS, an explainable multi-layered URL security framework integrating threat intelligence, DNS, SSL, and reputation analysis
- Engineered modular risk-scoring and feature extraction pipelines for real-time URL assessment
- Optimized performance through caching and parallel DNS queries for scalable analysis
Developed a scalable PostgreSQL database system for a freelancer marketplace platform.
Highlights:
- ER Modeling
- Functional Dependency Analysis
- BCNF Normalization
- Advanced SQL Queries
- Marketplace Analytics and Reporting
🔗 Repository: https://github.com/Praneel2309/Freelancer-Marketplace-DBMS
Interactive exploration and analysis of exoplanet datasets.
Classic game implementation demonstrating object-oriented design and game development fundamentals.
📄 Exploring the Future of AI-Enhanced Wearable Electronics for Real-Time Arrhythmia Detection. Cureus Journals 2.1 (2025) (2 citations)
📄 Revolutionizing Utility of Big Data Analytics in Personalized Cardiovascular Healthcare. Bioengineering 12.5 (2025): 463. (6 citations)
📄 Human-in-the-Loop Governance of Artificial Intelligence in Cardiology: From Ethical Principles to Operational Paradigms. Indian Heart Journal (2026)
📜 Granted Patent: AI-Enhanced Smartwatch-Based Real-Time Arrhythmia Detection
📝 Patent Application: Plant Robot
📘 Book Chapter Submitted: Feedforward Neural Networks and Radial Basis Function Networks
🏆 LeetCode Rating: 1690+
💻 Solved 425+ Problems
🏅 Codeforces: Pupil (1254)
🧠 Primarily code in C++
🎯 Goals:
- LeetCode: 2000+
- Codeforces: Expert
C++
C
Python
MATLAB
SQL
PostgreSQL
SQLite
MySQL
Linux
Git
Streamlit
Plotly
VS Code
Artificial Intelligence
Data Sciences
Software Engineering
System Design
Data Analytics
Cybersecurity
Threat Intelligence
🥇 1st Prize — IEEE IoT Competition (2024)
🎓 Qualified JEE Advanced
🎤 Deputy Convenor & Core Member — Research Club, DA-IICT
👨💻 GDG Winter of Code Contributor
I enjoy exploring scientific ideas and futuristic technologies that push the boundaries of software systems.
I am particularly interested in how advances in AI, data science, and software engineering can be translated into intelligent and impactful real-world systems.
Research inspires ideas. Engineering turns them into reality.