Computer Science Engineering
Machine Learning & Deep Learning Explorer | LLM & RAG Builder | Python Developer | Pre-Final Year CSE Undergrad
Currently working on LangChain Agents & RAG Systems, TFLite Edge Deployments, and first-authoring a research paper on Multi-Modal Deepfake Detection. Exploring Multi-Modal Learning, MLOps, and System Design.
Portfolio
Production-ready AI systems with measurable impact and scalable architecture
Additional Work
Full-stack applications and mobile solutions with proven user adoption
IEEE Conference • Smart city prototype • International presentation
Academic Contribution
Cutting-edge research in deepfake detection with state-of-the-art performance metrics
Developed a novel multi-modal approach combining facial landmark analysis, temporal inconsistency detection, and transformer-based architectures. The proposed method achieved state-of-the-art performance on benchmark datasets, significantly outperforming existing solutions while maintaining real-time inference capabilities.
Recognition
Recognition for technical excellence and leadership in competitive environments
Awarded for developing CNNs and facial artifact analysis system with innovation and real-world applicability
Winner - Multi-modal Deepfake Detection System
Secured 2nd place with improvements in video and image stream handling across platforms
Runner-up - Enhanced Deepfake Detection Project
Built end-to-end misinformation detection tool combining Deepfake Detection with LLM-based Fake News Detector
Gogte Institute of Technology
Presented Intelligent Transportation System at global conference
International Presentation - Paris
Under review in cybersecurity journal with 99.8% AUC performance
First Author - Multi-Modal Deepfake Detection
Technical Expertise
Proficient in modern AI/ML frameworks and full-stack development technologies
Python
C/C++
PyTorch
TensorFlow
Scikit-Learn
LangChain
TFLite
OpenCV
FastAPI
Flask
Hugging Face
Firebase
MySQL
GitHub