Agrim Rai - Resume

Summary

Computer Science Engineering student at NSUT Delhi specializing in Data Science. AI Research Intern with experience in machine learning optimization and deployment. Built platforms serving 200K+ users. JEE Main 2024: 99.015 percentile (Top 0.9% among 1.7M+ candidates).

Education

Netaji Subhas University of Technology

Delhi, India

B.Tech, Computer Science & Engineering (Specialization: Data Science) | 2024 – Present

Relevant Coursework: Data Structures & Algorithms, Linear Algebra, Calculus, Probability & Statistics, Discrete Mathematics, Machine & Deep Learning.
Key Achievement: Secured an All-India Rank of 15,722 in the JEE Main 2024 exam (99.015 Percentile), placing in the top 0.9% among over 1.7 million candidates.

St. Francis de Sales School

Delhi, India

Class X & XII (CBSE Board) | Aggregate Score: 90% | Completed: March 2023

Projects

ProdiJEE.in prodijee.in

Developed a high-traffic web platform to predict scores and percentiles for the JEE Mains examination, India's largest engineering entrance test with over 1.7 million candidates annually.

Attracted and served 200,000 unique users and processed 37,000 complete exam response sheets within 10 days of launch.
Delivered highly accurate percentile ML based predictions (±0.5 error margin) for 75% of users, releasing results a full 7 days before the official government announcement.
Implemented advanced machine learning algorithms to analyze exam patterns and predict percentile distributions across multiple exam shifts.
Built scalable backend infrastructure to handle massive concurrent user traffic during result prediction periods.

Ipu.life

Developed ipu.face, a comprehensive social and academic analytics platform for 30+ colleges under IPU University, Delhi, serving a community of 225,000 students.

Engineered a large-scale facial attractiveness rating system leveraging a dataset of 183,000 student images, enabling peer-based attractiveness and similarity scoring.
Integrated college transcript result analytics, allowing students to compare academic performance and receive personalized insights.
Implemented friend-based rating features, letting users rate and view attractiveness scores within their social circles.
Created facial embeddings and a "find similar faces" tool using deep learning, facilitating discovery of lookalikes across the university network.
Ensured privacy and security by anonymizing sensitive data and providing opt-in controls for all rating and analytics features.

Work Experience

CV and AI Intern - Big Vision LLC

May 2025 - August 2025

Enhanced the functionality of Tutorji.in, an AI doubt solving assistant serving over 20k users, by implementing new features for the web application and the Chrome extension.
Designed and implemented a secure monetization system, creating a paywall that introduced premium subscription tiers and controlled feature access.
Partnered with clients to develop and deploy bespoke AI solutions, successfully delivering projects that met specific real-world business requirements.

Skills

Languages: Python, C++, SQL, MATLAB

ML/DL Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, JAX

Computer Vision: OpenCV, Pillow, Torchvision, CNNs, Vision Transformers (ViT), Object Detection (YOLO, Faster R-CNN), Semantic Segmentation, Generative Models (GANs, Diffusion)