Overview
Software Developer Engineer @BrilliED
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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
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