Samsung Innovation Campus Model Builder (Project Sentinel) 2025 – 2026

Remote / Hybrid

• Engineered a real-time fraud detection system using a Kafka-Spark-XGBoost pipeline for high-velocity data ingestion.
• Implemented stateful feature engineering via Apache Spark Streaming to maintain real-time user spending profiles.
• Tuned an XGBoost classifier for low-latency inference, ensuring high precision in sub-second transaction scoring.

Data Science Intern May 2024 – June 2024

Techno Hacks EduTech

• Optimized machine learning data pipelines, resulting in a 30% reduction in processing time for classification tasks.
• Developed interactive dashboards and visualizations using Matplotlib to communicate model insights.

Data Science Intern July 2024 – August 2024

CodSoft

• Built a predictive model for Titanic survival analysis using Python and SQL, achieving 82% accuracy.
• Engineered features from raw datasets to improve model training quality and predictive performance.

SGT University, Gurugram, India July 2023 – June 2027

B.Tech in Computer Science and Engineering (Data Science)

• Academic Trajectory: Consistent upward trend with an average of 8.48+ SGPA over the last three semesters, peaking at 8.78.
• Cumulative CGPA: 7.62 (Major GPA focused on AI/ML subjects is significantly higher).
• Key Coursework: Data Structures, Algorithms, Machine Learning, Stream Processing, Statistics.

National Finalist

• Participated in 20+ hackathons, reaching the finals in 12 events, including the National Space Hackathon at IIT Delhi.

Google Office Finale

• Ranked in the Top 5,000 out of 25,000 teams globally in the BuildwithIndia competition.

1st Position - IDEATHON at Techfest PRADARSHAN 4.0

• Secured top honors at the university-level innovation competition.

Biomarkly AI Platform View Project 2026

Next.js, Python, Machine Learning

• Developed an AI-driven health analytics platform for biomarker identification.
• Integrated predictive health trend models with a responsive Next.js frontend for real-time diagnostic visualization.

Mediverse AI Medical Diagnosis View Project 2025

Computer Vision, Deep Learning

• Created a multimodal AI system analyzing medical imaging with 94% accuracy.
• Implemented advanced diagnostic algorithms to provide preliminary clinical insights in seconds.