Final-year B.Tech student specializing in Artificial Intelligence and Machine Learning, with a strong focus on building innovative solutions that bridge the gap between research and real-world applications. Currently preparing for technical interviews and actively developing full-stack applications with AI/ML integration.

Current Status: 4th Year Computer Science Student at Saveetha University
Focus Areas: AI/ML Engineering, Full-Stack Development, Data Science, Cloud Computing
Career Goal: Building scalable ML solutions and production-ready applications

Python  |  SQL  |  Java  |  JavaScript  |  LaTeX

• Frameworks: TensorFlow, PyTorch, Keras, scikit-learn
• Specializations: Computer Vision, NLP, Audio Processing, Sequence Models
• Architectures: CNNs, RNNs, BiLSTM, CRNNs, Transformers
• Computer Vision: OpenCV, Object Detection, OCR
• Applications: Image Classification, Diarization, Language Detection

• Frontend: React, Next.js
• Backend: Node.js, API Development
• Databases: MongoDB, SQL
• Architecture: RESTful APIs, Microservices

• Containerization: Docker
• Version Control: Git, GitHub
• Cloud Platforms: AWS SageMaker, Azure
• ML Platforms: Jupyter Notebook, Google Colab, Kaggle
• Workflow: Model Versioning, Experiment Tracking, CI/CD

• ETL Pipelines
• Data Preprocessing & Cleaning
• Feature Engineering
• Dataset Preparation

• IDEs: VSCode, Jupyter Notebook
• Operating Systems: Linux, Windows
• Tools: Selenium (Automation/Testing), Moodle LMS

• AWS Certified AI Practitioner
• Deep Learning Specialization (TensorFlow)
• IBM Deep Learning Certification
• Oracle Certified AI Foundations Associate

• Deep Learning & Neural Networks
• Computer Vision & Image Processing
• Advanced Data Analytics
• Full Stack AI Applications
• Cloud-Native ML Solutions
• System Design & Optimization

• Solving complex real-world problems with AI
• Creating innovative ML solutions that make a difference
• Continuous learning and technology exploration
• Building scalable and efficient systems
• Optimizing algorithms for time and space complexity

• Document Upload & Extraction System: Automated document processing with OCR and image extraction
• MCQ Testing Platform: Interactive assessment platform with automated grading
• Deep Learning Models: Custom implementations for various computer vision tasks

• Exam Uploader: Complete web application with MongoDB, Next.js, and React
• RESTful APIs: Backend services with comprehensive API integration

Currently Engaged In:

• Technical interview preparation (DSA focus)
• Online assessments and coding challenges
• Building practical AI/ML projects
• Contributing to open-source projects
• Expanding cloud computing expertise

Learning Path:

• Advanced ML frameworks optimization
• Azure cloud services
• Audio processing and NLP techniques
• System design patterns
• Production ML deployment strategies