About Me

👨‍💻 Profile

I am a 5th-year M.Tech Dual student in Artificial Intelligence and Data Science with strong hands-on experience in computer vision, machine learning, and applied data engineering. My work primarily focuses on building end-to-end, deployment-ready AI systems that solve real-world problems using large-scale visual and structured data.

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💼 Current Role

Data Scientist Intern @ Cornerstone Solutions, Indore

I design and implement production-grade AI pipelines with a focus on computer vision and intelligent automation systems.

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🚀 Key Projects & Contributions

🛣️ Drone-Based Road Damage Inspection System

• Developed using YOLOv12 for surface defect detection
• Achieved 92% mAP for accurate damage classification
• Integrated with Google Cloud Storage and BigQuery
• Supports data-driven civil maintenance planning and infrastructure monitoring

🚨 Real-Time Highway Surveillance System

• Built using YOLOv8 and OpenCV
• Detects fire, smoke, and cattle on roads in real-time
• Achieved 95% mAP for hazard detection
• Enables proactive hazard alerts and accident prevention

💬 RAG-Based Intelligent Chatbot

• Implemented Retrieval-Augmented Generation (RAG) architecture
• Uses ChromaDB for vector storage and Hugging Face embeddings
• Integrated with Gemini Flash LLM
• Built with FastAPI backend
• Deployed on Google Cloud Run for scalability
• Delivers accurate, context-aware responses

👤 Face Recognition Attendance System

• Developed using InsightFace (Buffalo model) and Flask
• Enables real-time face recognition and automated attendance logging
• Uses facial embeddings for accurate identification
• Streamlines attendance management processes

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🎯 Focus Areas

• Computer Vision: Object detection, image classification, face recognition
• Machine Learning: Deep learning, model optimization, deployment
• Data Engineering: Pipeline design, cloud integration, scalable systems
• MLOps & Deployment: Docker, Cloud Run, FastAPI, production systems

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🏆 Hackathons & Collaborative Work

I actively participate in hackathons to:

• Rapidly prototype impactful AI solutions
• Collaborate with multidisciplinary teams
• Apply computer vision and data science to practical challenges
• Emphasize scalability, accuracy, and real-world deployment

Experience

• Organized: HackHive Hackathon
• Participated: HackThisFall, HackVento, Smart India Hackathon (SIH - College Level)

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🛠️ Technical Skills

Languages: Python, SQL

Frameworks & Libraries: PyTorch, TensorFlow, OpenCV, YOLOv8/v12, InsightFace, FastAPI, Flask

Cloud & DevOps: Google Cloud Platform (GCS, BigQuery, Cloud Run), Docker

Databases & Vector Stores: ChromaDB, BigQuery, PostgreSQL

AI/ML Tools: Hugging Face, Gemini LLM, RAG systems, Computer Vision pipelines