Available for work

Mannan Jain.

Mannan Jain is a student at Thapar Institute of Engineering & Technology, pursuing a Bachelor of Technology in Computer Science Engineering. He has experience in machine learning, deep learning, and cybersecurity, and has worked on various projects, including a logistic regression-based framework for online signature verification and a meta-learning framework for algorithm recommendation.

New Delhi, India
mannanjain2005@gmail.comLinkedIn
+919650030360

Work Experience

Research Intern in Cybersecurity Department

Indian Institute of Technology (IIT) Delhi

May 2025 – July 2025

Worked under Prof. A.K. Bhateja on Online Signature Verification (Biometric Security). Developed a machine learning-based ensemble system that improves verification accuracy across multiple datasets, utilizing DTW, DCT, and FFT. Wrote a research paper on the same.

Product Development Intern

Wiom (A tech startup)

July 2024 – July 2024

Designed complex MySQL queries and explored ML for real-world applications. Gained hands-on experience in how startups operate, solving real business problems, adapting quickly to change, and prioritizing user needs. Applied Lean Startup principles for iterative product design and customer-focused development.

Skills

C++PythonJavaScriptSQLRNumPyPandasMatplotlibScikit-learnTensorFlowKerasMERN StackHTMLCSSGitLinuxVS CodePyCharmGoogle ColabMachine LearningDeep LearningNLP

Projects

Loan Approval and Risk Analysis System

Explored different machine learning and deep learning algorithms for loan approval prediction, referencing multiple research papers to compare performance across models.

Machine LearningDeep Learning

AutoMetaML: Algorithm Recommendation via Meta-Learning

Implemented a meta-learning framework that extracts dataset meta-features to recommend the most suitable classification algorithms, leveraging insights from multiple research papers.

Meta-LearningClassification

SmartAttend: Automated Attendance System

Developed a system that leverages college ID cards to automate attendance logging in real time. Implemented barcode/face detection integration with JSON-based record matching for accurate identification.

AutomationAttendance System

Education

Bachelor of Technology (B. Tech) - Computer Science Engineering

Thapar Institute of Engineering & Technology (TIET)

CGPA 9.59

graduating in 2027

Graduation

Delhi Public School (DPS) - Vasant Kunj, New Delhi

Class of 2023

Let's work together.

Open for new opportunities and high-impact collaborations.

Drop me an email