> Building scalable products at the intersection of AI, backend systems, and modern web engineering.
> Co-Founder & CTO @ Evoc Labs • Freelance Engineer • Top 4/500+ National Hackathon Finalist

Name: Piyush Rathore
Role: Full Stack + AI/ML Engineer
Location: Delhi, India
Education: B.Tech CSE (AI/ML) @ MAIT
Current Focus:
  - Distributed Systems
  - AI Product Engineering
  - RAG & LLM Applications
  - Real-time Infrastructure
  - Scalable Backend Systems

Currently Building:
  - Multi-tenant SaaS @ Evoc Labs
  - AI-powered platforms
  - Production-grade ML systems

• Architect before scaling
• Async-first backend design
• Real-world ML > notebook ML
• Clean APIs and maintainable systems
• Performance is a feature
• Explainability matters in AI systems
• Real-time only when UX truly needs it

• Multi-tenant SaaS architectures
• Async job queues with BullMQ + Redis
• REST APIs & real-time systems
• Authentication & access control
• Distributed backend infrastructure

• RAG pipelines & vector search
• TensorFlow.js browser inference
• NLP systems & intelligent automation
• ML deployment pipelines
• Explainable AI systems

• MERN & Next.js applications
• Real-time dashboards
• WebSocket-driven systems
• Payment & third-party integrations
• Production deployments

• Designed scalable multi-tenant backend architecture
• Redis + BullMQ async queue infrastructure
• Webhook abstraction layer for logistics integrations
• Tenant-scoped APIs and optimized DB models

Node.js MongoDB Redis BullMQ React

• Browser-side TensorFlow.js inference
• Real-time monitoring dashboard
• Predictive maintenance engine
• WebSocket-powered sensor streaming

TensorFlow.js Socket.io MERN

🔗 https://powerline-monitor.vercel.app

• AI-powered crypto trading engine
• NFT marketplace + DAO governance
• Smart contract integration
• Live analytics and automated strategies

React Node.js Web3.js BNB Chain

• 85% accuracy ML classification system
• SHAP-based explainability
• Multi-model comparison pipeline
• Streamlit deployment

Scikit-learn Python SHAP

🏅 Top 4 / 500+ National Hackathon Finalist 🏅 20+ Production & Research Projects 🏅 4 Internships across AI & Full Stack 🏅 Open Source Contributor — GSSoC, SWoC, IWOC 🏅 Kaggle Competition Rank — Top 41% 🏅 Google AI Agents Intensive Participant

• IBM SkillsBuild — Big Data 101
• IBM — Data Analysis with Python
• HackerRank — Python Certified
• HackerRank — Java Certified
• Linux Foundation — Open Source Development
• Google — AI Agents Intensive
• Kaggle — Python Badge

• Contributor in GSSoC, SWoC, and IWOC
• Member of Startup Sphere, MAIT
• Mentoring early-stage builders & reviewing systems architecture
• Passionate about scalable engineering and developer tooling