Projects

Academic/Professional Projects

1. Machine Learning-Based Malware Detection and Attack Challenge

Multi-stage challenge on ML-based malware detection and adversarial evasion attacks.

• Built ML models for malware detection with strict constraints (≤1GB RAM, ≤5s response).
• Developed evasive malware binaries to bypass detection, testing robustness of defense models.
• Explored both black-box and white-box attack/defense strategies.
• URL: GitHub Repository

2. Improving CLIP Training (CSCE636 Deep Learning Project)

Deep Learning project on Contrastive Language-Image Pretraining (CLIP).

• Implemented and compared 5 loss functions (CLIP, SogCLR, CyCLIP, VICReg, OnlineCLR).
• Evaluated with 3 optimizers (AdamW, SGD, Adam).
• Trained on CC3M subset (100k); validated on MSCOCO & ImageNet.
• Results showed CyCLIP with AdamW achieved best average performance (16.9%).
• Dataset: CC3M, MSCOCO, ImageNet

3. Deep Learning Coursework Projects

Regression and Optimization

• Ridge Regression & Lasso on E2006-tfidf dataset, with cross-validation and error curve analysis.
• Implemented SGD for Logistic Regression with step decay, cosine decay, and polynomial decay learning rate schedules.

Logistic Regression & MNIST Classification

• Proved convexity of regularized logistic regression objective.
• Derived Lagrange dual for distributionally robust optimization.
• Built multi-class logistic regression model for MNIST with minibatch SGD, tested weight decay, and analyzed overfitting.

4. Natural Language Processing Projects (CSCE638 NLP, Spring 2025)

• Tokenization & Byte-Pair Encoding: Built subword vocabulary from text corpus.
• Positional Encoding: Constructed and visualized sinusoidal positional encodings.
• Advanced Text Classification: Built CNN and fine-tuned BERT on Yelp Reviews dataset with GloVe embeddings.
• Seq2Seq with LSTM: Implemented encoder-decoder with attention for Quora Question Pairs, with GloVe initialization and text generation.

5. Software Security Projects

Coursework projects using C, C++, and Python.

• Buffer Overflow & ROP Attacks: Exploited vulnerable C programs to hijack control flow.
• Format-String Attacks: Crafted malicious printf payloads for information leaks.
• Memory Protection (Bound Checking, CFI, SFI): Implemented runtime defenses.
• Fuzz Testing & Symbolic Execution: Used fuzzers and symbolic execution tools to find vulnerabilities.
• Malware Analysis: Reverse-engineered and analyzed malicious binaries.

6. Configuring Hadoop Cluster and Executing Big Data Applications with Apache Spark

• Configured a Hadoop cluster using HDFS and Spark.
• Implemented small-scale big data applications for distributed storage and parallel computation.

7. User Folder Migration

• Built a migration system for 200+ enterprise clients, transitioning thousands of user reports, graphs, and imports into a new structure.
• Used Blue-Green deployment strategy to ensure zero downtime.

8. Enhancing Vending Machine Application with Microservices and Containerization

• Refactored vending machine app into microservices.
• Used Docker for scalable deployment and management.

9. AI-Powered Reversi Game

• Designed an AI-driven Reversi game with Java Swing GUI.
• Implemented Alpha-Beta Pruning algorithm for strategic computer moves.

10. 4-bit Computer System Design

• Designed a SAP-based 4-bit computer system.
• Implemented 28 assembly instructions and simulated in Proteus Design Suite.

11. Hall Management System

• Built a hall office management system with:
  • Desktop app: Java Swing GUI.
  • Web app: Laravel + MySQL backend.
• Won 2nd Runner-up at NSysS 2016 project show.

12. 29 Card Game

• Multiplayer 29 card game built using Java multithreading + socket programming.
• Implemented server-client model for real-time gameplay.