Abdul Arif

• Built an enterprise transformation intelligence platform using Node.js, React, and AWS RDS (PostgreSQL) that detected ERP, CRM, and HCM rollouts from SEC filings and job postings, cutting false positives by 40% through a custom Python NLP pipeline • Engineered a multi-stage detection system using SentenceTransformers (384D embeddings), phrase ranking, fuzzy vendor matching, and temporal extraction to maintain 92%+ precision on noisy unstructured data • Built a scraping pipeline that bypassed enterprise WAFs via TLS fingerprint spoofing integrated with Express REST APIs and Redis for real-time ingestion and rate-limiting

• Built and maintain the school’s full-stack web platform, integrating a custom AI chatbot using Chatbase with tuned temperature settings and safety guardrails for on-brand conversations • Earned 800+ five-star reviews and won five Best Driving School in Windsor awards (3 years in a row) for excellence in service and student success • Achieved #1 Google and Google Images ranking for “G2 test sheet” and “G2 road test sheet” in the entire world (tested with private tab connected to different countries IPs with VPN) - outranking major driving schools and forums, and driving consistent traffic across Ontario • Implemented cybersecurity because we were getting crypto and hacking attempts to bring down website -> HTTP security headers, IP-based rate limiting (100 req/min), regex input sanitization, 10MB request size limits to mitigate DDoS and injection attacks • Implemented secure server-side data storage and limited-scope API tokens, protecting student data and online booking details • Integrated custom Stripe Payment Gateway using Payment Element API, dynamic pricing engine, and EmailJS for templated registration emails • Designed and deployed Amplifier AI, a sentiment-aware lead-generation system (Python + LangChain + Next.js + Node.js) that performs real-time social listening on Instagram, Facebook, Reddit, and X to identify and engage prospective students automatically • Taught over 600+ students helping them pass their G2 & G driving tests, through one-on-one driving in-car lessons

• Engineered TinyAI, an enterprise AI writing assistant in React/TypeScript, integrating our in-house LLM with secure data-handling flows and contextual UX features - used by over 5000+ companies replacing TinyMCE’s paid AI add-on and projected to save Dayforce ~$52K/yr • Resolved high-priority blockers by implementing Storybook (React) to address cybersecurity issues, enabling quick client-specific fixes • Transformed Figma designs into accessible, production-ready React components with custom skins, toggleable toolbars, and secure image paste handling, enhancing usability and meeting A11Y standards • Resolved Azure CI/CD pipeline errors and stabilized test coverage tools (Jest, Cypress, SonarQube), boosting test coverage from 40% to 100% • Migrated legacy DojoRTE code to React, improving app performance by 30%

• Built 5+ AI apps using Next.js, OpenAI, Pinecone, StripeAPI securing 10k+ users (see Tradewise in Project section below) • Developed projects from design to deployment leading 4+ engineering fellows using MVC design patterns

• Built a telehealth platform using React, Node.js, and Azure enabling features such as appointment booking and symptom tracking reducing time doctors spent with patients by ~15 minutes • Set up AWS pipeline with cloud IAM policies (AWS roles, access keys) to ensure secure access for AI microservices for the React telehealth application • Implemented secure authentication and MFA workflows in healthcare software, ensuring compliance with PHIPA and HIPAA security principles • Used Express.js to integrate NodeMailer library for email notifications, and Twilio API for MFA, Google Calendar API appointment tracking UI, serving 800+ patients and reducing missed appointments by 30% • Launched company’s first AI chatbot for e-commerce client, reducing support tickets by 25% within 1 month. Incorporated NLP techniques to handle customer inquiries such as order tracking, product information, and basic troubleshooting

• Engineered a machine learning rust corrosion detection computer vision algorithm for a PhD. research thesis, to validate Krown’s rust protection products, using RGB to HSI color conversion and pixel thresholding for precise corrosion analysis • Decomposed legacy algorithm into C++ and developed a Swift iOS app enabling technicians to take pictures of vehicle parts and run them through the rust detection algorithm, leading to 40% more vehicles being evaluated • Designed and implemented an advanced rust analysis desktop app in Python, which allowed batch analysis for 10k+ images, reducing project delays by 20%

• Rebuilt automated Java tool used by 50+ data engineers, incorporating OOP principles and Factory design pattern, enhancing scalability and maintainability to meet Enterprise standards • Integrated Spring framework and Swagger with Delphix Masking API, accelerating data privacy operations and reducing runtime by over 50% • Engineered a Java SSL certificate verification system for secure HTTPS API calls, strengthening data security protocols without compromising functionality • Boosted test coverage from 70% to 90% by developing Mockito/JUnit tests and utilizing Spring for dependency injection of mocked objects • Facilitated onboarding with targeted Java training on Delphix API masking engine, accelerating team productivity and project integration

• Instructed 150+ students in Java-based Data Structures and Algorithms, enhancing theoretical knowledge and practical skills • Conducted weekly tutorials and labs to simplify complex concepts for better understanding • Provided one-on-one support during office hours to ensure academic success

• Facilitated practical application of network socket programming in Python and Java for 120+ students • Delivered weekly tutorials and labs to enhance understanding of complex networking concepts • Provided one-on-one support during weekly office hours to ensure students' academic success

• Led summer Robotics & Coding camps covering Lego robotics, Roblox Studio/Lua, and Minecraft modding with Mcreator • Taught coding to children (5-14 year olds) using video game development • Introduced Scratch programming to 300+ students, guiding projects like Space Invader and Ninja Run (see media section for links) • Advanced 200+ students to build games in JavaScript, Python, Lua, and C# for Unity • Implemented interactive teaching methods to promote STEM education

• Supported the migration of medical data to a secure SQL database on AWS, boosting performance and security through encryption and access controls • Monitored and scaled AWS RDS instances, ensuring high availability and data integrity with regular backups and maintenance • Developed cloud-based applications for healthcare systems, enhancing patient data management and accessibility • Worked with cross-functional teams to resolve system bottlenecks, improving system efficiency by 20% • Automated database maintenance, cutting manual efforts by 30% and raising operational efficiency