Ayush Kumar

Full Stack Developer with 2.5+ years of experience building scalable web applications using React.js, Next.js, Node.js, Express.js, and MongoDB (MERN Stack). Proficient in Python and FastAPI for backend services and AI integrations. Hands-on experience with LLM pipelines, RAG systems, and deploying production applications on AWS with Docker.

Full Stack AI Developer - GenZVerticals - Remote

(2026-03)

• Architected full-stack web application using React.js (frontend) and Python FastAPI + Node.js (backend) with MongoDB as the primary database.
• Developed cross-platform mobile app for Android and iOS using React.js + Capacitor, integrating Google & Facebook OAuth for authentication and Razorpay (Android) and Apple Pay (iOS) for payments.
• Followed platform-specific guidelines for both Google Play Store and Apple App Store deployment, ensuring compliance with all publishing rules.

Software Development Engineer-I - WebOum Technology Pvt. Ltd. - Mohali, Punjab

(2025-02 - 2026-03)

• Designed and launched a production ML-based phishing detection system using Random Forest + XGBoost, achieving 85% accuracy and processing 1,000+ URLs/day via FastAPI microservice.
• Implemented LLM-powered automation pipeline using LangChain + Groq AI, reducing manual data processing time by 60%.
• Integrated RAG-based document Q&A feature using ChromaDB vector store and OpenAI embeddings, achieving 87% retrieval accuracy.
• Deployed AI microservices on AWS EC2 with Docker and CI/CD pipeline, achieving 99.8% uptime for production systems.

Software Development Engineer - Fitelo Pvt Ltd - Mohali, Punjab

(2023-10 - 2025-01)

• Designed RESTful APIs powering AI/ML microservices using Node.js + Express.js, handling 10,000+ monthly requests with 35% reduced latency via query and Redis caching optimizations.
• Implemented JWT + RBAC authentication for AI-powered health platform, securing 5 user roles in compliance with OWASP best practices, serving 100+ daily users with 99.9% uptime.
• Restructured PostgreSQL schemas and ML data pipelines, improving data throughput by 40% for model inference workflows.

Masters of Computer Applications - Computer Applications - Uttarakhand Technical University (2021 - 2023) Dehradun, India