Consistently solving complex problems and building production-ready applications
AnuragYadav
Creating digital experiences that blend cutting-edge technology with elegant design and scalable architecture.
Technical Excellence
Showcasing production-ready projects that demonstrate full-stack capabilities, machine learning expertise, and scalable architecture design.
Accident Severity Predictor
Machine Learning model to predict accident severity with 87% accuracy using Random Forest
Smart Expense Tracker
Full-stack expense management application with real-time analytics and budgeting
Technical Arsenal
Mastering the full stack – from pixel-perfect UIs to scalable cloud infrastructure
Frontend Development
Creating responsive, performant user interfaces with modern frameworks
Backend Development
Building scalable server-side applications and APIs
Machine Learning
Developing intelligent systems and predictive models
DevOps & Cloud
Deploying and maintaining production systems
Competitive Programming
Career Journey
From building startups to enterprise systems – a journey of continuous learning and innovation
Software Engineer (Full Stack / Backend)
SoftXAI Private Limited AI Solutions / dotCompliance (US)
Contributed to global enterprise compliance systems serving 3M+ customers with 99.9% uptime and modernized backend architecture for scalability.
Full Stack Developer Intern
RegisterKaro Safe Ledger Private Limited
Developed full-stack modules for a government startup registration platform serving thousands of clients nationwide.
Machine Learning Enthusiast
AI & Machine Learning (Personal Research)
Explored Artificial Intelligence and Data Science concepts through self-learning and hands-on projects using Python and ML frameworks.
500+ Problems Solved • Top 5% Global
AchievementLeetCode & Competitive Programming
Consistent practice in algorithms, data structures, and system design principles
Career Highlights
Ready to bring this level of expertise to your next project?
Let's Build TogetherML Concepts & Visualizations
Interactive demonstrations of machine learning principles and algorithms that power intelligent systems.
Neural Networks
Deep learning architectures for complex pattern recognition
Experience with CNNs, RNNs, and Transformers for various ML tasks
Model Optimization
Hyperparameter tuning and performance optimization
Grid search, Bayesian optimization, and model pruning techniques
Feature Engineering
Data preprocessing and feature selection
PCA, feature importance analysis, and automated feature generation
Model Evaluation
Comprehensive performance metrics and validation
Cross-validation, ROC curves, confusion matrices, and A/B testing
Algorithm Performance Metrics
Model Training Progress
Let's Connect
Ready to bring your next project to life? Let's discuss how we can work together.