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Coding Nest is a solid LMS concept — a Django-based platform that combines course content with a live coding environment in one place. The standout feature is Docker sandboxing, so every student's code runs in an isolated container, keeping things secure. It has LeetCode-style automated test cases for real-time problem solving, plus the Monaco editor (same engine as VS Code) for a pro-level coding experience, backed by PostgreSQL for solid data handling. Overall it's a nicely put-together mini-ecosystem for learn-to-code platforms — course-ware + sandboxed IDE + auto-grading, all bundled together.
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A self-initiated product: a booking and ordering system for a billiard club in Tbilisi. I designed it in Figma from scratch and built all of it, from the interface to the database.
Guests call the club and nobody answers. They arrive and every table is taken. They want food and wait at the bar. Side Pocket moves all of that to the website.
Key decisions
No guest accounts. A booking needs a name and a phone number. The guest gets a private link to move, extend or cancel. The link is the account.
A 15-minute hold. Guests check in with "I'm at the table." A table nobody claims goes to the waitlist, and the next person gets the same 15 minutes.
Ordering tied to the table. Guests order from their phone during the game, add time themselves and see the bill as it grows.
One screen for staff. Every table's state for the night, late arrivals and orders to serve pinned to the top, bookings and orders boards, alerts in Telegram.
A Telegram bot. It understands "table for 4 tonight at 8" in English or Russian and finishes the booking with buttons.
Scope
Guest site with live availability, single and group booking, waitlist, private booking page, table page with menu, cart and bill, email confirmations and reminders, staff dashboard, Telegram bot.
Stack
React 19, TanStack Start, TanStack Router and Query, Tailwind 4, Radix UI, Supabase Postgres with row-level security, pg_cron, Brevo and Resend, Telegram Bot API, Vitest.
Business rules sit in plain functions, separate from the UI and the database, with 73 tests. Only server functions touch the database.
My role
Product design, UI design, front-end, back-end, database, integrations.
Live demo: side-pocket.lovable.app
Built for the #LovableChallenge by @Contra and @Lovable. #BuiltWithLovable😊
nicety accomplished.. great work
Messy Data In. Clearer Decisions Out. 📊
Over the past year, I've noticed most businesses don't struggle because they lack data — they struggle because that data never turns into a decision.
That's the gap I work in:
→ Cleaning and analyze data with Python & R
→ Turning findings into investor-ready pitch decks
→ Polishing the final write-up so nothing gets lost in translation
If your team has data sitting in spreadsheets with no story attached, or a pitch deck that needs to actually land — that's exactly where I can help.
Open to projects. Let's talk 👇
𝐉𝐨𝐛 𝐡𝐮𝐧𝐭𝐢𝐧𝐠 𝐨𝐧 𝐡𝐚𝐫𝐝 𝐦𝐨𝐝𝐞
B2 English, based in Argentina. Payment preferably in USDT. Remote only. Quite a combination, right?
I built an AI-assisted job-search system around Freehire and Hirify. Both platforms offer official API/CLI access for automation, which makes them much easier to connect to an agent workflow. Simple Python scripts collect job listings and run the first pass of filtering against strict rules.
Then agents double-check the requirements, match them against my experience, and tailor my CV to each role. They highlight relevant projects and technologies I've actually worked with. Final review and approval stay with me.
𝐀𝐬 𝐨𝐟 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟐𝟔:
✅ 20 applications sent;
✅ 8 HR screenings passed;
✅ 1 video screening completed and submitted.
🚀 Technical interviews are still ahead.
I'm not ready to write off the market. Even with my constraints, things are moving.
A job search deserves 𝐚𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨𝐨: clear rules, automation, and checks on the results.