Lori Callum - Game Developer | ContraWork by Lori Callum
Lori Callum

Lori Callum

Mobile App Developer iOS/Android

Ready for work

Lori is ready for their next project!

Followed by Nicolas P, Nasir N, and Mahmoud O
Got a powerful app idea that gamifies real-world experiences? Let’s turn it into a custom mobile app. A clunky user experience kills engagement fast. Your users deserve an app that is lightning-fast, intuitive, and built to perform seamlessly across both iOS and Android. We handle end-to-end mobile app development, from interactive UI/UX prototyping to secure backend integration and live App Store publishing. I just built this app for a customer Think Pokémon GO meets iNaturalist, a gamified wildlife exploration and instant AI identification mobile app. Users snap a photo of nature or wildlife to instantly trigger real-time AI species identification, "capture" finds into a personal digital collection, level up through a dynamic rarity system (from Common to Legendary), and compete on a global leaderboard. It transforms passive outdoor education and exploration into an addictive, highly engaging digital ecosystem that drives long-term user retention and brand loyalty. Ready to bring your unique app concept to life? Send me a message to get started!
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Cover image for Dug an old concept draft
Dug an old concept draft out of my digital archives this morning, one of those ideas that felt like futuristic when I first sketched it out years ago. Back then, the concept was simple on paper: walk down any high street, snap a quick photo of a local business storefront, and instantly generate a real-time digital maturity score, pinpoint operational friction points, and craft a tailored outreach pitch on the spot. At the time, visual AI was clunky, mobile edge processing was too slow, and natural language models weren't nearly nuanced enough. It felt like an over-engineered pipe dream. Fast forward to right now: with multi-modal vision models, location APIs, and modern cross-platform mobile architecture, the technical barrier has completely collapsed. What used to require complex computer vision pipelines can now run seamlessly in a native mobile app. How the workflow breaks down: Snap the Storefront: Capture a photo of a physical business to pull its visual footprint and lock in live GPS coordinates. Instant AI Audit: Vision models evaluate the storefront visual data alongside location signals to return a digital readiness score (0–100) and highlight key vulnerabilities (e.g., missing app presence, low local search visibility, manual booking friction). 1-Tap Pitch Dispatch: A personalized cold outreach email is pre-filled automatically and ready to send via the device’s native share sheet. Sometimes the best software ideas aren't brand new, the technology just finally caught up to the vision. What’s an old project or "future concept" sitting in your drawer that’s suddenly 100% buildable today?
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Cover image for The majority of customers won’t
The majority of customers won’t ever message you and say: “Hi, could you please build a mobile app so I can buy from you more easily?” They won’t say it because expectations don’t get announced, just compared. Your customer is constantly benchmarking your experience against the smoothest, fastest, most convenient service they used this week, whether that was a bank, a food delivery app, a retailer, or even their gym. And once people get used to tap-to-do-anything, they quietly lose patience for businesses that still run on: “Email us and we’ll get back to you” “Call during office hours” “Screenshot this and send it over” “Fill in this form, then wait” “We’ll text you when it’s ready” “Can you remind me tomorrow?” They don’t complain. They simply choose the business that feels easier. An app is no longer a luxury feature but a convenience baseline. The expectation has changed (even if your industry hasn’t) Find out more (https://lctechsolutions.etsy.com)
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Cover image for Project Title: CyberComply – Enterprise
Project Title: CyberComply – Enterprise AI Governance Engine The Challenge: Most AI tools lack the "Audit Trail" required for enterprise adoption. I built CyberComply on Lovable to bridge the gap between autonomous AI capabilities and strict corporate compliance standards. The Build: I used Lovable’s rapid full-stack capabilities to architect a system that moves beyond simple prompts into Governed AI Workflows. Key features built within the platform include: Real-Time Risk Scoring: Dynamic assessment of AI deployment safety. Policy Enforcement Logic: Hard-coded guardrails that prevent autonomous agents from exceeding their operational mandates. Audit-Ready Reporting: Automated documentation for every AI decision-chain, ensuring 100% transparency for C-suite stakeholders.
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