A custom WordPress platform with advanced crowdfunding, auction, and subscription features, built from the ground up in PHP/JavaScript/HTML/CSS with a Next.js frontend and Stripe-powered payments.
AI-powered WordPress plugin integrating OpenAI for auto-rewriting & expanding blog content, featuring secure API workflows, custom post types, and Gutenberg blocks (React + PHP) for seamless AI-assisted editing in admin.
Custom WordPress plugin delivering professional Gutenberg blocks (Pricing Table & Testimonial Slider) with advanced React-based Inspector Controls and PHP dynamic rendering, fully responsive and WCAG 2.1 compliant.
Custom WordPress plugin with Events post type, interactive FullCalendar.js calendar, user registration/approval, automated Mailgun/SendGrid confirmations, and Google Maps API for dynamic location display.
Extends WordPress REST API with custom endpoints (JWT auth, user meta, advanced queries), fully enabling React/Next.js frontends to consume structured JSON for enterprise-ready headless WordPress development.
WordPress plugin that scans all posts and pages for WCAG 2.1 accessibility issues (alt text, headings, contrast, ARIA attributes) and generates a detailed, actionable pre-publish accessibility report directly in the WP Admin.
A WordPress plugin that auto-scans for outdated plugins/themes, enforces strong password policies, disables XML-RPC, tracks failed logins, and adds a custom admin dashboard widget for real-time security status.
A full-stack application built with React, Node.js, Express, and MongoDB that calculates optimal ski routes using Dijkstra’s algorithm. Features an interactive React-based map that dynamically updates routes based on user preferences.
Deployed a fully automated, scalable AWS platform with Docker, Kubernetes, Terraform, Jenkins CI/CD, and Lambda monitoring, reducing deployment effort 80% and costs 90%, ensuring security and reliability.
Developed a ResNet34-based deep learning model for entomological landmark prediction with end-to-end data pipeline, advanced training strategies, and a Tkinter GUI, using Python, PyTorch, OpenCV, and YOLOv8-pose.
Built an image processing pipeline for license plate character detection and segmentation, leveraging morphological operations, thresholding, contour analysis, and filtering techniques using Python, OpenCV, and NumPy.
Developed CNN and Vision Transformer models to classify satellite imagery into land cover types (forests, urban, water, agriculture) using Python, TensorFlow/Keras, PyTorch, OpenCV, and NumPy.
Implemented Q-learning and Monte Carlo reinforcement learning algorithms in JavaScript to train an AI agent for blackjack, achieving optimal gameplay strategy through iterative policy learning and extensive automated game simulation.
Developed an interactive data visualization dashboard to analyze patient flow and specialist interactions, enabling dynamic filtering and insights using polar charts, heatmaps, and correlation matrices with Python, NumPy, and Matplotlib.
Developed a 12″×12″ Python infographic evaluating customer support efficiency for 20 employees across 4 teams. Built ETL pipeline, calculated metrics, and visualized trends using time-series, heatmaps, correlation matrices, and radar charts.
Developed an early social networking platform at age 15 using HTML5, CSS3, JavaScript, PHP, and SQL, implementing user authentication, CRUD operations, friend system, dynamic frontend, and full-stack database management.
Developed a marketing-focused WordPress platform at age 16 with custom PHP/JavaScript themes, client dashboards, automated reporting, post types, and full-stack backend-frontend interactivity for structured client solutions.
Founded at age 18, Grocals was a cross-platform grocery app (Java Android, Objective-C iOS) with user authentication, cart, order tracking, geolocation, APIs for inventory/orders, and scalable multi-location backend.
Developed Vault, a hyper-deflationary cryptocurrency on BNB Smart Chain using Solidity (ERC20/BEP20), implementing anti-whale limits, automatic liquidity acquisition, RFI static rewards, DeFi PancakeSwap integration, and audited tokenomics.
Developed algorithmic trading models using Python (prototyping), PineScript (backtesting), and MQL4 (MT4 deployment) to analyze market indicators, automate trades, manage risk, and optimize multi-instrument forex and commodities trading strategies.
Developed an automated door system using Arduino Uno (C) and Particle Photon (C++) with GPIO input handling, debounce logic, and servo motor actuation, enabling highly precise real-time embedded control and low-latency door operation.
Wrote Just Win: Secrets to Success and Happiness Unlocked at age 15, and published it a few years later in 2018. The book explores practical strategies for personal growth, achievement, and happiness. Available on Amazon.
Copyright © 2026 Saurabh Singh