Sheet 00 · resume

RAJAT PATRA

+91 7327047778rajat.kk.patra@gmail.comlinkedin.com/in/patrarajatgithub.com/RawJat

Education

Institute of Technical Education and Research, SOA University

Bhubaneswar, Odisha, IN
Bachelor of Technology in Computer Science and EngineeringNov 2022 – July 2026

Projects

Cricket Fantasy XI Predictor | Python, XGBoost, PuLP, Docker

June 2025
  • Built an AI/ML-based predictive model to optimize fantasy cricket team selection for the Indian Premier League (IPL) 2025, using historical player data, pitch conditions, and weather to maximize fantasy points across 15+ matches.
  • Trained a Gradient-Boosted Regressor (XGBoost) combined with constraint optimization (PuLP) to enforce fantasy sports rules, including a 100-credit budget and team composition constraints.
  • Processed and engineered features from large-scale ball-by-ball cricket datasets (Cricsheet, Kaggle, ESPNcricinfo) to build batting and bowling performance metrics for player prediction.

Envault | Next.js, Supabase, Redis, AES-256-GCM, Tailwind CSS

May 2026
  • Architected a zero-knowledge secrets vault using envelope encryption (AES-256-GCM) with a master/data-key hierarchy and automatic key rotation.
  • Improved decryption performance with Redis caching and enforced database-level security using Supabase Row-Level Security (RLS) and immutable audit logs.
  • Built a CI/CD pipeline with TravisCI to automate plugin builds on new releases.
  • Developed a CLI for secret synchronization, engineering safeguards such as git-tracked file blocking and pre-commit hooks to prevent credential leaks.
  • Implemented RBAC and Just-in-Time (JIT) GitHub integration to dynamically provision repository access for collaborators.

Synthetic Media Classification | PyTorch, Torchvision, scikit-learn, imbalanced-learn, Matplotlib

April 2025
  • Fine-tuned a Vision Transformer (ViT-B/16) on the CIFAKE dataset (100K+ images) to classify real vs. AI-generated images, achieving 98.5% accuracy and 98.2% F1-score on the test set.
  • Evaluated and maintained model robustness against adversarial examples using targeted data augmentation.
  • Accelerated training with CUDA GPU optimization, cutting training time by 85%.

Experience

Ekaayam

June 2024 – Aug 2024
Design LeadAtal Incubation Centre, SOA University
  • Led design and development of a ticketing platform that attracted 600+ unique registrations for SOA E-Summit 2024.
  • Explored methods to visualize GitHub collaboration activity for classroom use, prototyping a tool to track student contributions.

Technical Skills

Languages: Java, Python, C/C++, SQL (PostgreSQL), JavaScript, HTML/CSS

Frameworks & Libraries: React, Next.js, Node.js, Flask, FastAPI, PyTorch, XGBoost, scikit-learn, pandas, NumPy, Matplotlib

Developer Tools & Platforms: Git, Docker, TravisCI, Redis, Supabase, Google Cloud Platform, VS Code, PyCharm, IntelliJ

Concepts: Machine Learning, Constraint Optimization, RBAC & OAuth, Encryption (AES-256-GCM), CI/CD

Academic Achievements

  • Secured First Prize (Rs. 10 Lakhs) in Dream11 Gameathon 2.0, competing against 40+ teams from Tier-1 universities across India, as part of a Rs. 25 Lakh prize pool.
  • Finished 7th in Pravaah ML Hackathon, organized by IIT Bhubaneswar.