Developed and deployed a full-stack e-commerce website using MongoDB, Express, React, and Node.js featuring product filtering, variant selection, cart logic, Stripe and Razorpay payment integration, and an admin dashboard, hosted on Vercel for production access.

Built a lead-generation application using the Google Maps API to parse properties by zip code, rank homes by construction year (e.g., pre-1950), and generate targeted lists optimized for mold inspection marketing campaigns.

Certified in Microsoft Office, Java, JavaScript, Python, React, Node.js, SQL, NoSQL, and Creo, supported by coursework in Computer Science, Data Structures, Algorithms, and Database Design emphasizing both theoretical foundations and applied systems engineering.

Solved 38 algorithmic problems across easy, medium, and hard levels, strengthening mastery in data structures and algorithmic paradigms including dynamic programming, greedy methods, binary search, recursion, hashing, sliding window, and graph-style reasoning.

Founded and operated an advertising agency utilizing proprietary handwritten-font generation software, 3D-printed assembly systems with stepper motors, and large-scale data mining to automate personalized direct mail production at scale.

Engineered AI-driven marketing agents and automated sales funnels using prompt engineering, Go High-Level workflows, webhooks, Smartlead, and Apollo sequencing, increasing conversion rates and closing seven high-ticket clients across multiple industries.

Built a class-based Python application that managed library inventory, ship-out records, and due dates while applying foundational programming concepts such as object-oriented design, data handling, and function abstraction.

Designed and implemented a high-integrity SQL database system that tracked shipping orders, item numbers, inventory levels, inventory dates, and customer orders with relational cross-referencing between dependent and independent entities to ensure scalability and data consistency.

Munch Match is a cross-platform Ionic application powered by Node.js, Express, MySQL, and the Yelp API that enables swipe-based restaurant discovery with personalized filters, secure authentication, preference storage, social features, and a Docker-deployed backend designed to reduce dining decision fatigue.