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Resume
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Arin Balyan

AI Engineer & Full-Stack Developer.

Overview

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About

  • Full-Stack AI Engineer with expertise in building AI-powered applications using modern technologies.
  • Skilled in Python, FastAPI, PyTorch, TensorFlow, React.js, and Vue.js for developing comprehensive solutions.
  • Experienced in deploying scalable applications with 99.8% uptime and managing complete DevOps pipelines.
  • Creator of EmotionML: Real-time emotion recognition platform achieving 98.99% accuracy on CK+48 dataset.
  • Creator of AgroAid: ML-powered agricultural assistant serving 500+ daily queries with 99.5% uptime.
  • Built RAG systems generating 500+ study pages and 100+ quizzes with 92% accuracy, reducing content creation time by 85%.

GitHub Contributions

Stack

  • Python icon
  • TypeScript icon
  • JavaScript icon
  • C++ icon
  • SQL icon
  • Node.js icon
  • Bun icon
  • PyTorch icon
  • TensorFlow icon
  • Keras icon
  • Scikit-Learn icon
  • NumPy icon
  • Pandas icon
  • FastAPI icon
  • Flask icon
  • React.js icon
  • Vue.js icon
  • Redux icon
  • React Navigation icon
  • LangChain icon
  • RAG Systems icon
  • Next.js icon
  • HTML5 icon
  • Tailwind CSS icon
  • MongoDB icon
  • Redis icon
  • Linux icon
  • Git icon
  • Docker icon
  • AWS icon
  • Cloudflare icon
  • MySQL icon
  • PostgreSQL icon
  • Supabase icon
  • Figma icon
  • Adobe Photoshop icon
  • Vite icon
  • NPM icon
  • Postman icon
  • VS Code icon
  • OpenCV icon
  • Streamlit icon
  • Selenium icon
  • LaTeX icon
  • Kaggle icon

Experience

BrilliED

Current Employer
  • FastAPI
  • Python
  • Vue.js
  • Supabase
  • Render
  • LangChain
  • PostgreSQL
  • Docker
  • CI/CD
  • Team Leadership
  • Performance Optimization
  • DevOps

SkillBit Technologies

  • Python
  • FastAPI
  • Machine Learning
  • Natural Language Processing
  • Sentiment Analysis
  • Pandas
  • Scikit-learn
  • RESTful APIs
  • Data Preprocessing
  • Team Collaboration

Education

  • Currently pursuing Bachelor's degree in Computer Science with AI & ML specialization.
  • CGPA: 8.33/10
  • Focus areas: Machine Learning, Deep Learning, AI applications, and software development.
  • Python
  • C++
  • SQL
  • JavaScript
  • HTML
  • CSS
  • Machine Learning
  • Deep Learning
  • Data Structures
  • Algorithms
  • Computer Vision
  • Natural Language Processing
  • Mathematics
  • Physics
  • Chemistry
  • Computer Science
  • English
  • Science
  • Mathematics
  • Social Science
  • English
  • Hindi

Projects(5)

AI-Powered Image Enhancement Web Service

  • Developed a comprehensive web service for enhancing mobile phone photos using advanced AI algorithms including Super-Resolution, Low-Light Enhancement, and Color Correction.
  • Implemented modular enhancement pipeline integrating Real-ESRGAN (4x upscaling), GFPGAN (face restoration), and custom algorithms for white balancing and exposure correction.
  • Engineered automated image analysis system to intelligently detect and apply necessary enhancements based on brightness, face detection, and resolution metrics.
  • Built high-performance FastAPI backend supporting batch processing and Google Drive integration for efficient handling of large photo collections.
  • Python
  • FastAPI
  • PyTorch
  • Real-ESRGAN
  • GFPGAN
  • Computer Vision
  • Image Processing
  • REST API

Certifications(3)

IBM Blockchain Developer Certification Program

Issued by
IBM

Applied Machine Learning in Python

Issued by
University of Michigan, Coursera

Ethnus MERN Full-stack Developer Certification

Issued by
Ethnus

Achievements(3)