Building intelligent systems where research meets real-world impact.
I enjoy transforming ideas into practical AI solutions through curiosity, mathematics, and continuous learning.
I'm a third-year B.Tech student in Information Technology Engineering specializing in Machine Learning and Data Analytics.
My interests span Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Data Science, Multimodal AI, and Generative AI. I enjoy reading research papers, experimenting with new ideas, and building intelligent systems that solve meaningful real-world problems.
I believe the best technology comes from combining strong fundamentals with continuous curiosity, practical experimentation, and collaboration.
- Artificial Intelligence - Machine Learning - Deep Learning - Computer Vision - Natural Language Processing - Multimodal AI - Image Processing - Remote Sensing - Data Science - Generative AI
Developed an evidence-based Reverse RAG framework for detecting and validating hallucinated LLM responses using semantic retrieval and citation verification.
Tech: Python • FastAPI • Gemini API • Qdrant • Vector Embeddings
Built a low-latency multimodal framework combining video, audio, and lip-sync analysis for real-time deepfake detection.
Tech: Python • PyTorch • OpenCV • EfficientNetV2-S • AASIST • SyncNet
Developed a lightweight image enhancement framework using Knowledge Distillation and achieved high-quality reconstruction.
Tech: PyTorch • Restormer • Residual U-Net
Built an OCR pipeline for handwritten document understanding with keyword-based information retrieval and hybrid database indexing.
Tech: PaddleOCR • OpenCV • MongoDB • MySQL
Developed a deep learning framework for cloud movement prediction using satellite imagery for weather forecasting.
Tech: TensorFlow • Keras • Remote Sensing
Research Intern
Working on visibility enhancement and image dehazing by improving Dark Channel Prior and Gray Channel methodologies through experimental research.
Research Intern
Optimized handwritten OCR pipelines and developed intelligent document retrieval systems using hybrid databases.
AI Research Intern
Worked on image super-resolution using teacher-student knowledge distillation for lightweight image reconstruction.
Machine Learning Intern
Developed predictive maintenance models using industrial sensor data and built analytical dashboards for equipment monitoring.
AI Research Intern
Designed a real-time AI-based intrusion detection and facial recognition system using open-set recognition.
I actively contribute to open-source projects, enjoy collaborating with developers, and continuously explore new technologies through hands-on development and research.
- Multimodal AI
- Large Language Models
- Computer Vision
- AI Research
- Open Source
- Data Science
- Intelligent Retrieval Systems
Always open to collaborating on AI research, open-source projects, and innovative ideas.
Research. Learn. Build. Share.