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Talkinator- a reimagined translator app.
Even though I'm no immigrant, I forget words like it's my full time job.
LIVE PROJECT
FLOWSTEP
PS: While building the app, my major pointers were:
1) We all forget words and when we do remember them after forcing our brain, it feels like a weight lifted off.
→ This app is supposed to make that feeling easily attainable. 2) Translators should be capable of doing more.....
I'm glad you like it!!😊
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Talkinator- a reimagined translator app. While building the app, my major pointers were: → We all forget words and when we do remember them after forcing our brain, it feels like a weight lifted… | Maryam Fatima
Talkinator- a reimagined translator app. While building the app, my major pointers were: → We all forget words and when we do remember them after forcing our brain, it feels like a weight lifted off. → This app makes that feeling easily attainable. → Translators should be capable of doing more. So I built the kind that I wish existed in Flowstep for the Contra X Flowstep challenge! LIVE APP LINK https://lnkd.in/g7qYGHSn CONTRA SUBMISSION LINK https://lnkd.in/gkWjcxVA
The network for creativity
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I'm currently working on a brand in Greek, which is a language I don't speak whatsoever. It's been super fun, surprisingly, because I honestly just focus on the vibes.
I’d highly recommend having a native Greek speaker, or someone with close Greek family and cultural experience, review the work before it goes live, just to make sure it feels and looks right culturally.
Tamper-Proof Content Blocker & Device Protection App
System-Level Mobile Threat Protection & Local Network Filtering
The Challenge
Standard Android content filters are easy for users to bypass, disable, or uninstall, while third-party remote VPNs introduce severe latency and data privacy risks.
The Solution & Impact
Built a Kotlin-native Android application that enforces device-level content filtering and anti-tampering protection locally without sending user traffic to external servers.
Local VPN & DNS Filtering: Intercepts system-wide DNS packets via a local VpnService TUN interface to block prohibited domains locally with zero latency.
System-Level Security Hooks: Utilized Android Accessibility Services and Device Admin APIs to prevent unauthorized uninstallation, force-stopping, or setting bypasses.
Tamper-Proof Lock: Enforced settings locking via an encrypted, randomized password generator to ensure non-bypassable enforcement.
Tech Stack: Kotlin | Android SDK | VpnService | Accessibility APIs | DeviceAdminReceiver | Jetpack Compose
Disclosure screen before requesting Accessibility is exactly what reviewers look for now. Did you run into the Restricted Settings flow on Android 13+, where sideloaded APKs block Accessibility grants outright, or is this shipping through Play only?
AgentFlow10 — AI Agent & Automation Platform
Lead Engineer · Self-hosted AI agent platform with a visual workflow builder
The problem
Automation tools are built for businesses that already have a card on file, reliable bandwidth, and a Slack workspace. That leaves most of the world out. In markets where WhatsApp is the customer channel and mobile money is the payment rail, the standard automation stack either doesn't connect or is priced in currencies that make it a non-starter.
There was a second problem. Every serious automation platform is someone else's cloud. If your data is sensitive, or your compliance rules keep it in-country, or you just don't want to hand your customer records to a vendor, your options run out fast.
What I built
AgentFlow10 is an AI agent and automation platform you can run on your own infrastructure. A visual builder lets you compose agents and multi-step workflows without writing code, connect them to the tools you already use, and deploy them where your data lives.
The design goal was to make AI agents something a small team can actually operate — not a research project requiring an ML engineer on staff.
What I did
I built and run it end to end: product direction, backend architecture, LLM orchestration, integration layer, the workflow engine, frontend, brand system, and go-to-market. Everything from the database schema to the landing page copy.
Notable pieces of engineering:
A workflow execution engine that handles branching, retries, and failure states — because an agent that dies silently mid-run is worse than no agent
LLM orchestration with prompt management and output validation, so results are structured and usable rather than free text
A self-hosting path that a non-specialist can actually deploy
Integration architecture designed for channels that matter outside Silicon Valley, including WhatsApp and mobile money flows
Why it matters for clients
This is the project I point to when someone asks whether I can build AI systems rather than just call an API. Running a platform means I've dealt with the parts that break in production — cost control, rate limits, non-deterministic model output, failure recovery. That experience is what I bring to client work.
Built with: Python, TypeScript, React, Next.js, Node.js, PostgreSQL, LLM APIs, Docker
