Freelancers using Python in LondonFreelancers using Python in London
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Ali Shan's avatar
Ali Shan
proLondon, UK
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
$50k+
Earned
5x
Hired
5.0
Rating
120
Followers
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
Cover image for Langflow Multi-Agent Research Framework Development
Langflow Multi-Agent Research Framework Development
0
35
Cover image for Predictive Analytics Platform & ML Service
Predictive Analytics Platform & ML Service
0
18
Cover image for Backend Architecture for Text-to-Speech SaaS Platform
Backend Architecture for Text-to-Speech SaaS Platform
1
14
Cover image for Containerized Automated Quality Control Pipeline
Containerized Automated Quality Control Pipeline
0
8
Python(6)
Enoch Sagini's avatar
Enoch Sagini
London, UK
Full-Stack Developer · UI/UX & Landing Pages
New to Contra
Full-Stack Developer · UI/UX & Landing Pages
Cover image for Sagini AI Analytics — AI-powered
Sagini AI Analytics — AI-powered data intelligence platform (sagini.net (http://sagini.net)) Designed and built the full marketing site for Sagini AI Analytics, a tool that turns any uploaded file into instant charts, insights and anomaly reports. The visual identity here is deliberately different from a typical SaaS landing page. Instead of the common blue and sans-serif "tech" look, the site pairs a deep navy background with a warm gold accent and a serif display typeface for headlines. This gives the product a premium, editorial feel that signals trust and authority, fitting for a tool people use to make decisions on their actual data. Body copy stays in a clean sans-serif for contrast and readability, so the serif is reserved for moments that need weight. The hero headline uses two different type treatments in one sentence: "Your data," in a solid serif, "decoded instantly" in a gold italic script. This creates a clear visual hierarchy and makes the value proposition the most memorable element on the page, rather than burying it in a paragraph. A trust bar directly below (10+ formats, under 5 seconds, AI powered, 100% your data) answers objections before the visitor has to ask. The "How it works" section uses a three-step numbered layout with a connecting line between steps, which reads as a literal pipeline rather than a bullet list, reinforcing the "file in, insight out" simplicity of the product. The features grid below groups capabilities into six equal cards with consistent icon and copy structure, making a technically dense feature set easy to scan. The supported-formats section replaces a wall of text with format badges (CSV, PDF, XLSX, PNG, and others), which communicates breadth instantly and visually rather than through a sentence a visitor would skim past. The page closes with a repeated, high-contrast CTA block on the gold-accented navy background, plus an honest "Currently in Beta" and "Free during beta" disclosure, which builds trust rather than undermining it. Stack: FastAPI, Python, Claude API. Deployed with nginx, systemd, Let's Encrypt SSL, MySQL.
2
157
Cover image for Ranksit — AI content and
Ranksit — AI content and SEO SaaS (ranksit.net (http://ranksit.net)) Designed and built the full marketing site for Ranksit, an AI tool that turns a keyword into a researched, SEO-scored article. The hero leads with a clear before/after promise ("Turn a keyword into publish-ready, optimised content"). The key differentiator, "optimised," is pulled out in a contrasting colour so it reads first. A single input field sits directly under the headline instead of a generic CTA button, letting a visitor try the core action immediately, with popular example prompts underneath to lower the effort of that first interaction. Four short feature cards below establish credibility (researched, audited, live feedback, ready to ship) without needing a separate scroll section. The "How it works" section breaks the product into three numbered steps for scannability, followed by real content score examples (92, 88, 74) that make the abstract "SEO scoring" concept concrete and visual rather than just a claim. Pricing uses a simple two-tier layout with the Pro plan visually distinguished by a border and badge. The price is the largest element on the card since it's the first thing a comparison shopper looks for. The FAQ section closes objections before the final CTA. The page ends on a repeated, action-oriented close ("Ready to rank?") rather than trailing off after pricing. Stack: FastAPI, Python, HTMX.
1
131
Cover image for Transform Your Data with Sagini AI: Instant Analytics & Insi...
Just shipped Sagini AI Analytics — sagini.net (http://sagini.net) Drop in a CSV. Get back charts, anomaly detection, AI-generated insights, and a shareable report. No SQL. No analyst. No waiting. This is what I built because I was tired of clients paying thousands for dashboards that take weeks to deliver. Sagini AI does it in seconds. Stack: FastAPI · Python · Pandas · Plotly · SQLite · Vanilla JS If you need a custom version of this — internal analytics tool, automated reporting, AI integrated into your existing data pipeline — that's exactly what I do. Live at sagini.net (http://sagini.net). More at sagini.me (http://sagini.me). DM me and let's build something.
2
188
Cover image for GM Rides — Transport booking
GM Rides — Transport booking platform (Kenya) Designed and built the marketing site and booking flow for GM Rides, a platform for intercity buses, airport transfers and private hire across Kenya. The hero establishes trust before it establishes the product. A status badge ("Kenya's Most Modern Transport Platform") sits above a large two line headline, with the differentiator word ("Smarter") set in a lighter blue tone against a dark navy background for contrast. The supporting line answers the three questions a first time visitor has immediately: what can I book, where does it work, and how do I pay. The booking widget is placed directly in the hero rather than behind a separate page, with tabs for One Way, Round Trip and Airport Transfer so the most common use case is one click away. Trust stats (towns covered, happy travellers, on time rate, support hours) sit just below the fold, using large numbers with short labels so they scan in under a second. Further down, the "Travel in Comfort" and "Built Different" sections use a consistent card pattern, an icon, a short title, and one line of supporting copy, repeated across six feature cards. This keeps the page easy to skim rather than forcing the visitor to read paragraphs, and each card answers a specific objection a traveller might have (safety, comfort, punctuality, payment flexibility). The footer closes with practical reassurance: multiple accepted payment methods shown as logos, direct contact details, and full service/site navigation, so a visitor who scrolls all the way down still has a clear next step. Stack: Next.js, Laravel, MySQL. Payments: M-Pesa STK Push, Stripe. Multi currency support (KES, GBP, USD, EUR).
2
133
Python(3)
Anesah Fraser's avatar
Anesah Fraser
London, UK
AI Agent & Automation Engineer | LangChain, Python, n8n, RAG
AI Agent & Automation Engineer | LangChain, Python, n8n, RAG
Cover image for Automated KPI Dashboard with Power BI
Automated KPI Dashboard with Power BI
1
5
Cover image for Ops Workflow Automation with Human Review
Ops Workflow Automation with Human Review
1
8
Cover image for Invoice Processing Automation Project
Invoice Processing Automation Project
1
8
Cover image for Automated Support Ticket Routing and Summarization
Automated Support Ticket Routing and Summarization
1
7
Python(5)
Ahtesham Hassan's avatar
Ahtesham Hassan
Dagenham, UK
AI Automation Engineer | n8n Claude & Python
New to Contra
AI Automation Engineer | n8n Claude & Python
Cover image for TriggerLeads — B2B AI Outreach Pipeline
TriggerLeads — B2B AI Outreach Pipeline
0
5
Cover image for AXON — Autonomous AI Operating System
AXON — Autonomous AI Operating System
0
7
Cover image for LumiGlow — eBay Automation System
LumiGlow — eBay Automation System
0
7
Cover image for airankchecker.uk — AI Visibility Audit
airankchecker.uk — AI Visibility Audit
0
6
Python(3)
Moyo Weke's avatar
Moyo Weke
proLondon, UK
Frontend Dev & Web Designer | Framer, Figma, Decks
$1k+
Earned
2x
Hired
5.0
Rating
13
Followers
Frontend Dev & Web Designer | Framer, Figma, Decks
Cover image for AI-Powered Skin Cancer Classification : Computer Vision
AI-Powered Skin Cancer Classification : Computer Vision
0
8
Cover image for Verlux E-commerce Web Design for Hospitality
Verlux E-commerce Web Design for Hospitality
0
9
Cover image for Kupa Global Website Redesign
Kupa Global Website Redesign
0
44
Cover image for Adluna: Productivity Platform UI/UX Design
Adluna: Productivity Platform UI/UX Design
1
61
Python(1)
Idris Lamina's avatar
Idris Lamina
proLondon, UK
AI Automation & Web Design | n8n · Vapi · Claude API
16
Followers
AI Automation & Web Design | n8n · Vapi · Claude API
Cover image for Document Automation for a 22-Staff Conveyancing Firm
Document Automation for a 22-Staff Conveyancing Firm
0
10
Cover image for AI Ops Employee: Professional Services Intake (Live Demo)
AI Ops Employee: Professional Services Intake (Live Demo)
0
5
Cover image for Veranda, a luxury residential concept
Veranda, a luxury residential concept landing page Veranda is a concept build I created for a fictional luxury residential brand. It is not client work or a real property. The images and hero motion were generated with AI as part of the creative process. I wanted to explore something that matters when building high-fidelity landing pages: after several rounds of changes, how do you make sure the final page still looks like the design that was approved? The site is built in Next.js with responsive layouts, self-hosted fonts, GSAP motion and an interactive walkthrough. I also built in a proper QA process around it, not just checking that the page loads and the buttons work. It compares 12 sections across five screen sizes against approved visual baselines. It flags visual drift, missing baselines and changes that have not been reviewed. I also tested interactions, accessibility, contrast, performance, browser behaviour and reduced-motion states. The main lesson for me was simple: a page can pass functional tests and still no longer be the page that was agreed.
22
26
1.2K
Cover image for Cinematic Portfolio Design for Film Studio: A Visual Masterp...
A cinematic portfolio concept for a film and motion studio, designed to feel more like an editorial reel than a standard agency website. The site uses a dark visual system, oversized typography, smooth scrolling, restrained motion, and a full-screen project index to make the work feel premium before the user reads a word. The focus was on pacing, atmosphere and confidence: fewer sections, stronger visuals, cleaner movement. Built as a responsive Next.js prototype with Framer Motion and Lenis-style smooth scrolling, including hero, selected work, about and contact sections.
7
12
556
Python(1)
Ashish Sandhu's avatar
Ashish Sandhu
London, UK
Fractional CTO / AI Specialist Award Winning AI Engineer
$5k+
Earned
1x
Hired
8
Followers
Fractional CTO / AI Specialist Award Winning AI Engineer
Cover image for Development of Vulcan-OS: An AI Orchestration Layer
Development of Vulcan-OS: An AI Orchestration Layer
0
10
Cover image for I created THE TABLE because
I created THE TABLE because the most uncomfortable human moments deserve to be witnessed without the mercy of a camera cut. We have all seen dramatic cafe encounters on film, but they are usually softened by edits and reaction shots. I wanted to create an experience that traps the audience in a continuous reality, making the viewer feel the tension of a silent conflict unfolding in real time. What if we watched a bizarre fracture between two people in a cozy space, and the camera simply refused to look away? That question became THE TABLE. The Production Workflow I had a vision but no traditional crew. CapCut Video Studio and the Seedance 2.5 model made a complex one-take sequence entirely possible. Prompt-Driven Choreography: I mapped out a 30-second physical space in a single text prompt. Every action, from the walk to the aggressive muffin snatch, was engineered to unfold sequentially. Unbroken Camera Control: To ensure the "one-take" rule was followed, I instructed the AI to use physical camera movements. Seedance 2.5 maintained the spatial consistency flawlessly. The Assembly: The magic of this workflow was the lack of assembly. The final output is a raw, continuous generation with no manual splicing. Platform Feedback Seedance 2.5 brilliantly held the entire world together. When the camera whip-pans back from the street to the interior at the end, Table 1 and Table 2 are exactly where they should be. It felt like directing a steady-cam operator on a live set. One honest piece of feedback: generating timed character interactions in a continuous 30-second shot requires immense trial and error. Optimized rendering costs for long-form visual storytellers would make a meaningful difference, also if specific editing can take place at point notes that will change massive things. Ultimately, Seedance 2.5 helped me protect the awkward silence at the end of the film. X: https://x.com/AshishSandhu/status/2090161080857223462?s=20
4
7
327
Cover image for I've spent the last few
I've spent the last few days building something I genuinely wish existed years ago. When I was job hunting, I had a PDF. A white rectangle with my name, dates, and bullet points. The same format invented in 1482. I was competing with thousands of people who had the exact same white rectangle. I'm a builder. I ship products. I've worked with real companies, shipped real things, have real skills. None of that showed in a CV. It couldn't. A PDF wasn't built to show it. And building a personal website? That's a project in itself. Design it, code it, host it, maintain it. Most people never do. So their career stays a white rectangle forever. So I built RoomCV. (https://roomcv.figma.site/) You don't build anything. You paste your LinkedIn URL, your Contra profile, or upload your CV. In under 60 seconds, your career has a home on the internet. A real one. With your name on the door. Not a template you fill in. Not a prettier PDF. A room that reads your data and builds itself with all your pretty links. And then there are the portraits. The AI photoshoot is unlike anything else in this space. It runs a 3-stage pipeline (thanks to Figma Weave): Stage 1 - A casting director model analyses your reference photo and writes a precise physical description. Hair, skin tone, bone structure, build. This becomes a consistency anchor so every portrait is recognisably you. Stage 2 - A photography director model reads your actual CV. Your job title, your company, your career highlights, your personal note. It writes a bespoke scene brief the way a Vogue photo director would. A founder gets a quiet boardroom at night with a city skyline. A developer gets a dark server room with terminal green glow. A designer gets mood boards and soft daylight. Stage 3 - The image model takes that bespoke brief, your reference photo, and your character anchor and generates 6 editorial portraits. Hero. At work. Thinking. Off duty. Achievement. Environmental. Every portrait is specific to you. Because the AI read their actual careers before picking up the camera. The room is alive. People can visit your room at its permanent URL. They can leave signed notes in your guestbook. They can react with rockets, fire, or lightbulbs. You can see who's browsing right now, live presence, like a real room. Every visit is counted. The whole city of rooms is browsable and is a directory of real people's careers, each one visually distinct. Three visual themes: Cinematic - moody contrast, 35mm grain, deep editorial shadows. Brutalist - harsh direct light, raw concrete textures, technical glitch aesthetic. Minimal - soft diffused window light, high-key, warm neutrals, conversion-focused. The copywriting changes completely per theme too. Same person, three radically different editorial voices. Wieden+Kennedy wrote none of them — Gemini did, with a prompt that bans every CV cliché and demands specific references to real company names, real project names, real skills. What I used to build it: Figma Make - the entire app. Every component, every interaction, every route. Built in natural language, iterated in real time. Figma Weave - the portrait pipeline visualised as a node-based workflow. The casting director, the photography director, the 6 parallel image generation nodes. The hero background video on the landing page. The logo. Figma MCP - connecting the design token system into the Make build so the three themes stayed consistent with the Figma source of truth. Supabase - backend, auth, KV storage, private portrait bucket, signed URLs, edge functions. Gemini - character extraction, photography direction, copywriting, profile parsing, room generation from raw LinkedIn/Contra/CV data. The numbers that matter: 60 seconds from paste to published room. 6 portraits per person, all unique. 3 complete design systems per room. 0 templates. Every room is generated, not filled in. 1 permanent URL per person. Unlimited visitors, reactions, guestbook notes. Who this is for: Designers who are tired of Behance looking like everyone else's Behance. Developers whose GitHub is invisible to anyone who isn't technical. Founders who have a LinkedIn but not a story. Freelancers on Contra who want their profile to stop at the URL and start in the room. Anyone who has ever felt like their career deserved better than a white rectangle. Yesterday a dev called Andrei pasted his LinkedIn URL. 30 seconds later he had six editorial portraits and a career room that looked like the cover of Wired. He sent me a voice note. He said it was the first time his career had felt like his, and here it is for everyone to try. Try it. Paste whatever you have. LinkedIn URL, Contra URL, raw CV text, PDF. Your room is waiting. roomcv.figma.site (http://roomcv.figma.site)Figma Make: https://www.figma.com/make/3kpbdErsXVZqPSkZS2LdvY/Design-RoomCV-Creatively?t=ZnnNnUei4aE16P6e-1 Figma Weave: https://app.weavy.ai/flow/RK8qIG0eKBpyoJLOg4JgrC Figma Community: https://www.figma.com/community/file/1649649240602428392/roomcv?fuid=1004476920505329686 X: https://x.com/AshishSandhu/status/2067821599223316662 (https://x.com/AshishSandhu/status/2067821599223316662?s=20)https://x.com/AshishSandhu/status/2067824940154269961 Drop your room link in the comments. I want to see every single one. Built for the Figma Config Makeathon. Figma Make + Figma Weave + Figma MCP + Supabase + Gemini. #ConfigMakeathon #Figma #FigmaMake #AI #Portfolio #CareerDesign
2
3
261
Cover image for Reinventing the wheel 🛞 for
Reinventing the wheel 🛞 for Google. Designed with Google Stitch for all platforms Desktop, Mobile, and Tablets. I’m a engineer and founder with tech experience but not design, and going into this challenge, my real question was simple: Can an AI-native interface builder actually handle deep-time narrative storytelling and high-fidelity, scroll-linked interactions without turning into a complete mess? To stress test the absolute limits of the platform, I didn't feed it an established design, or any files right away. I wanted to see exactly how Stitch thinks, handles design drift, and iterates from scratch. I gave it a massive, conceptually complex prompt: Build a highly cinematic, ultra-polished, deep-time historical timeline mapping the evolution of the wheel, from primitive Mesopotamian stone discs to active, computational morphing hub systems in 2026. How Stitch Fit into the Workflow The streaming generation on the canvas is easily one of the most hypnotic interactions I've seen in a design tool. It genuinely feels like watching a remote design partner building on your screen through AnyDesk. Instead of staring at a loading spinner and waiting for a static layout, I was reacting to a living interface taking shape in real time. Instead of keeping things static, I ended up executing three distinct modes across this project to see how Stitch adapts to different workflow mindsets: I pushed a light but descriptive prompt system to build out a strict, zero-color, high-contrast monochrome design philosophy titled "Liquid Slate." Stitch completely conquered the blank page problem, mapping out an editorial-style landing page with absolute black layouts and deep-etched glass elements. The Codebase Sync via Antigravity (The Engineering Bridge) is where it killed it, To see if this could handle a real-world production loop, I leveraged the new MCP skills. I imported stitch into Antigravity straight from Stitch's HTML native canvas, synced those changes, and published a React Website in Minutes to Netlify which was bug free and ready for a Run. The motion authoring surprised me the most. I didn't have to jump out into a secondary motion app or wrestle with standard transition bugs, the native hover states, custom text blur modules (BlurInText), and smooth continuous wheel rotations were all handled seamlessly on the HTML canvas before exporting the build. New Features I Leaned On Streaming generations to canvas: Watched the entire layout materialize and iterated on components before they were even finished rendering. In-place AI edits via prompts + point-and-click: Controlled fine-grain text styles and layout spacing directly on the artboard. Redesign : Got the same design in 3 colours, just wow. Native motion, hover states, and shaders on HTML canvas: Authored complex scroll-linked component rotations and aesthetics. Antigravity Code Integration via MCP: Ran a perfect, bi-directional round-trip sync between my code editor and the visual design canvas. MCP Export: One-click, zero-friction final production deployment. Feedback on the Platform Google Stitch shifts the entire AI design paradigm because it collapses the classic "describe, wait, judge, re-prompt" delay loop into an interaction that feels like direct manipulation. In-place edits genuinely feel like real design work. Two things I'd love to see in future updates: Option to upload/generate videos: it makes it easier for a designer to have their backdrop beautiful just by adding or generating a video which Stitch can definitely add beautifully. A way to save a specific in-place edit style (like the exact blur, noise, and border-radius of my "Liquid Slate" glass cards) into a recipe that I can reapply to other sections instantly without describing it again. Stitch doesn't feel like an AI platform you have to constantly fight against, it feels like a living, interactive canvas that intuitively understands structural design system logic. Check it out: Live Site: https://contragoogle.netlify.app/ Stitch Project Space: https://stitch.withgoogle.com/projects/13302732653849354465 (https://stitch.withgoogle.com/projects/13302732653849354465)X: https://x.com/AshishSandhu/status/2062413585095995813?s=20
9
8
530
Python(1)