Core Philosophy

Data is the new alchemy. I transform raw, chaotic information into structured intelligence through systematic architecture and scalable engineering.

Technical Arsenal

Specialized in building resilient systems that process millions of data points, with expertise spanning from algorithm design to production deployment.

Backend Engineering

• Python 3.9+ (Expert)
• Flask & FastAPI
• Celery for async tasks
• Redis & RabbitMQ
• PostgreSQL & MySQL
• REST & GraphQL APIs

ML & Data Science

• Scikit-learn & TensorFlow
• Pandas & NumPy
• ML pipeline design
• Feature engineering
• Model deployment
• Data visualization

DevOps & Cloud

• Docker & Kubernetes
• AWS & GCP
• CI/CD pipelines
• Linux server management
• Nginx configuration
• Monitoring & logging

Quantum Verification Engine

System Load: 100K+ emails/batch

Latency: < 50ms average

Tech Stack: Python, Celery, Redis, SMTP/DNS

Architecture: Distributed worker pools, credit-based billing, real-time monitoring

Data Extraction Matrix

Efficiency: 80% manual work reduction

Accuracy: 99.2% extraction rate

Tech Stack: PyPDF2, Regex, Pandas, Flask

Process: PDF → Web → Excel automation with validation workflows

Revenue Intelligence Hub

Data Volume: ₹984M+ revenue analyzed

Records: 2M+ data points processed

Tech Stack: Power BI, DAX, Excel

Insights: KPI tracking, regional analytics, predictive modeling

Multi-Layer Architecture

Scaling & System Architecture

• Horizontal Scaling: Celery worker pool architecture
• Queue Management: Redis-based distributed task queues
• Fault Tolerance: Automatic retry and failure recovery
• Load Balancing: Nginx reverse proxy and round-robin routing
• High Availability: Multi-instance Flask deployment
• Monitoring: System logs and real-time performance tracking



Backend & API Engineering

• REST API Design: Modular Flask-based API architecture
• Database Design: MySQL relational schema optimization
• Authentication: OTP-based secure user verification
• File Processing: Bulk CSV upload and parsing pipelines
• Async Processing: Background task execution with Celery
• Session Management: Token-based user session handling

Machine Learning & AI Systems

• ML Deployment: Flask-integrated prediction endpoints
• Deep Learning: GAN-based Virtual Try-On (VITON / TryOnGAN)
• Feature Engineering: Spotify audio mood classification
• Predictive Modeling: Pokémon battle prediction ML system
• Data Pipeline: Automated preprocessing and cleaning workflows
• Model Training: Supervised ML classification & regression



Research & Engineering Projects

• Email Verification System: Bulk validation SaaS platform
• Virtual Try-On AI: Deep learning clothing simulation system
• Spotify Mood Predictor: ML-based emotion detection system
• Pokémon ML Battle Engine: Data-driven battle prediction
• Physiotherapy AI: Rehab recommendation ML framework
• Portfolio SaaS Platform: Scalable Flask-based personal platform