Resume | Divyanshu Patel

Summary

Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning with hands-on experience building and deploying production-grade mobile and machine learning systems. Independent developer of a Flutter application serving over 4,000 users. Strong in full-stack development, cloud-backed architectures, performance optimization, and system design.

Education

Vellore Institute of Technology (VIT), Chennai

Aug 2023 -- May 2027

B.Tech in Computer Science and Engineering (AI and ML)

CGPA: 8.78 / 10

Experience

Independent Software Developer

Jan 2024 -- Present

VIT Verse – Student Productivity Mobile Application

Live

Designed, developed, deployed, and maintained a production Flutter mobile application used by over 4,000 active users.
Owned the complete software development lifecycle including system design, UI/UX, frontend development, backend integration, authentication, deployment, monitoring, and iteration.
Implemented an offline-first architecture using Firebase, Supabase, SQLite, and REST APIs to ensure reliability under low or unstable network conditions.
Integrated cloud services for real-time data synchronization, push notifications, and secure media storage while optimizing performance through caching and lazy loading.

Projects

Leukemia Diagnosis System

GitHub

Developed an end-to-end deep learning pipeline for leukemia detection using EfficientNetV2 trained on 3,256 labeled medical images.
Applied transfer learning techniques to improve model convergence and generalization on limited medical datasets.
Achieved 98.93 percent classification accuracy and evaluated model performance using precision, recall, and confusion matrices.
Implemented Grad-CAM visualizations to provide explainable predictions and improve clinical interpretability.

Himalayan Expedition Success Prediction

GitHub

Built machine learning pipelines on over 89,000 historical expedition records to predict climb success outcomes.
Performed data cleaning, feature engineering, and exploratory data analysis to identify key success factors.
Trained and evaluated ensemble models including random forest and gradient-based approaches.
Deployed an interactive Streamlit dashboard for real-time prediction and result visualization.

CVLA – Complex Visualizer and Linear Algebra Platform

Live

Designed an interactive platform for visualizing complex-valued functions and linear algebra transformations in real time.
Implemented dynamic plots for complex planes, vector spaces, eigenvectors, and matrix transformations.
Used NumPy, SciPy, and Plotly to ensure accurate numerical computation and smooth visual rendering.
Improved conceptual understanding of abstract mathematics through intuitive visual representations.

Technical Skills

Languages: C++, Java, Python, JavaScript, Dart

Frameworks: Flutter, React, TensorFlow, scikit-learn, Streamlit

Cloud and Backend: Firebase, Supabase, Google Cloud Storage, REST APIs, SQL, SQLite

Core Areas: Mobile Development, Full-Stack Systems, Machine Learning, Deep Learning, Explainable AI, Data Structures, System Design

Activities

Built and shipped rapid prototypes and minimum viable products across 20+ hackathons, gaining experience in rapid iteration, problem solving, and collaborative development under tight deadlines.

DIVYANSHU PATEL