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AI-Powered Solutions | Full-stack Web Applications
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AI-Powered Solutions | Full-stack Web Applications
E-commerce Support | VA Services Amazon & Etsy | Math Tutor
New to Contra
E-commerce Support | VA Services Amazon & Etsy | Math Tutor
Cover image for ✍️ 285 Amazon Listings, One
✍️ 285 Amazon Listings, One Goal: Better Rankings, More Conversions. I worked as an SEO Content Writer for a duvet cover set brand selling on Amazon UK, writing and optimizing content for 285 product listings in the home & bedding category. πŸ“ What the work involved: βœ… Keyword Research β€” finding high-intent UK search terms buyers actually use for bedding & home textiles βœ… Title Optimization β€” SEO-friendly titles balancing keywords with readability βœ… Bullet Points β€” benefit-driven copy highlighting fabric quality, thread count, and comfort βœ… Product Descriptions β€” persuasive, scannable copy that builds trust and drives add-to-cart βœ… Backend Search Terms β€” hidden keyword fields to maximize discoverability without keyword-stuffing visible copy βœ… A/B Copy Testing β€” testing variations to see what actually improved click-through and conversion πŸ›οΈ Writing for a single category at this volume taught me how to keep 285 listings distinct and non-duplicate while still ranking for overlapping keywords β€” a real SEO challenge, not just writing. πŸ’Ό I'm currently taking on new Amazon SEO content projects through Ecomalytics β€” for the UK market or beyond. πŸ“© DM me or comment "SEO" to talk about your listings. #AmazonSEO #SEOContentWriter #AmazonUK #ListingOptimization #EcommerceCopywriting #AmazonListings #ProductDescriptions #KeywordResearch #HomeAndBedding #AmazonSeller #Ecomalytics #EcommerceGrowth #CopywritingServices
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UX/UI & Web Designer | SaaS & Agency Design Partner
UX/UI & Web Designer | SaaS & Agency Design Partner
Backend Python Engineer | Django, FastAPI, REST APIs & Cloud
New to Contra
Backend Python Engineer | Django, FastAPI, REST APIs & Cloud
Cover image for DarrenCaddle is a recruitment-focused CRM
DarrenCaddle is a recruitment-focused CRM and lead management platform designed to help recruitment teams organize large volumes of leads, companies, candidates, job opportunities, and sales activities in one centralized system. I worked on the backend development and business logic, building the systems required to manage recruitment data, lead workflows, company assignments, sales tasks, and administrative operations. Key Features Lead Management β€” Create, track, search, filter, and manage large volumes of recruitment leads. Advanced Lead Filtering β€” Filter leads by source, team, assigned user, country, status, sales task, outreach activity, and other attributes. Company Management β€” Maintain company records, domains, assignments, statuses, and associated recruitment activity. Candidate & Person Management β€” Organize candidate/person information and connect it with companies, jobs, and leads. Sales Workflow Management β€” Track sales tasks, responses, resume submissions, interest, contracts, and other recruitment stages. Job Management β€” Associate leads and candidates with relevant job opportunities. Lead Assignment β€” Assign companies and leads to specific team members and manage ownership across the recruitment workflow. Search & Reporting β€” Provide administrative tools for quickly finding and managing large datasets. Scalable Data Management β€” Built the backend around high-volume recruitment data, with the interface showing 250K+ leads and 200K+ company records. Admin Operations β€” Developed interfaces and backend functionality for managing the recruitment operation from a centralized platform. My Role Backend Engineer / Django Developer I was responsible for the backend development, including: Designing and developing backend APIs and business logic Building lead and company management workflows Implementing search, filtering, assignment, and status-management functionality Designing data relationships between leads, companies, people, jobs, and sales activities Building administrative workflows for managing large datasets Supporting recruitment and sales operations through custom backend functionality Technology Python Β· Django Β· Django REST Framework Β· PostgreSQL Β· REST APIs Β· Database Design Β· Backend Development
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Cover image for Fynite is a data-driven SaaS
Fynite is a data-driven SaaS platform designed to help businesses manage products, analyze market data, integrate external data sources, and create intelligent pricing strategies. I worked on the backend and data engineering side of the platform, building APIs, integrations, data pipelines, pricing workflows, and the infrastructure required to process and manage large volumes of product and pricing data. Key Features Dynamic Pricing Engine β€” Create and apply pricing strategies based on stock, demand, promotions, competitors, volume, and time-based rules. Product Management β€” Manage product catalogs, variations, SKUs, pricing, inventory, POS data, and dynamic pricing status. Competitor Pricing Intelligence β€” Collect and compare competitor pricing data to support data-driven pricing decisions. ETL & Data Pipelines β€” Ingest, transform, and synchronize data from multiple external sources. Third-Party Integrations β€” Built integrations with platforms such as Shopify, Square, Toast, Clover, NCR, and other data sources. Analytics & Dashboards β€” Provide revenue, net-value, price-index, competitor, and business performance insights. Pricing Strategies β€” Support promotion-based, stock-based, volume, time-based, demand-based, competitor-based, and fixed-markup pricing. Lead & Company Management β€” Manage leads, companies, assignments, sales tasks, and recruitment/business workflows within the broader platform. API Integrations β€” Connect external services and data providers through backend APIs and integration workflows. Scalable Data Architecture β€” Designed backend workflows for handling large datasets and continuously synchronized business data. My Role Backend Engineer / Python & Django Developer I focused primarily on the backend architecture and data layer, including: Designing and developing Django/REST APIs Building data ingestion and ETL workflows Integrating third-party platforms and APIs Implementing dynamic pricing logic and business rules Working with relational databases and analytical data stores Building automated data synchronization workflows Developing backend services for dashboards and analytics Handling product, pricing, inventory, competitor, and integration data Supporting cloud-based data processing and deployment Technology Python Β· Django Β· Django REST Framework Β· PostgreSQL Β· Amazon Redshift Β· AWS Β· Docker Β· REST APIs Β· Celery Β· ETL Β· Data Pipelines Β· Third-Party APIs
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Cover image for Fashion Studio is an AI-powered
Fashion Studio is an AI-powered fashion creation platform designed to help fashion brands and creators generate professional product visuals without traditional photoshoots. The platform combines virtual try-on, AI model generation, image generation, video generation, face swapping, and quality assurance into a single workflow. I worked on the backend and AI integration layer, building APIs and workflows that connect the platform with multiple AI services and handle the generation lifecycle from user input to final output. Key features include: πŸ‘— Virtual Try-On β€” Apply garments and accessories to generated or uploaded models. πŸ§‘β€πŸŽ¨ AI Model Generation β€” Create realistic fashion models with configurable gender, appearance, measurements, poses, and backgrounds. πŸ–ΌοΈ AI Image Generation β€” Generate fashion campaigns and product visuals from prompts and references. 🎬 AI Video Generation β€” Turn generated fashion imagery into promotional videos. πŸ”„ Face Swap β€” Generate customized fashion content using face-swapping workflows. πŸ›‘οΈ AI Quality Assurance β€” Automatically evaluate generated results and retry failed generations when necessary. πŸ“š Generation Library β€” Track and manage generated assets and their parameters. πŸ’³ Credits & Billing β€” Manage generation credits, subscriptions, usage, and add-on credits. βš™οΈ Generation Parameters β€” Store model configuration, garments, poses, backgrounds, aspect ratios, and generation metadata. Technology Python Β· Django Β· FastAPI Β· PostgreSQL Β· REST APIs Β· Replicate Β· OpenAI Β· Docker Β· AI Image Generation Β· AI Video Generation My Role Backend Engineer / AI Integration Engineer I focused on designing the backend APIs, integrating AI generation services, building generation workflows, handling asynchronous processing and failures, and connecting the AI capabilities with the product's user-facing workflows.
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Premium Online Tutoring for K-12 and Test Prep Excellence.
Premium Online Tutoring for K-12 and Test Prep Excellence.
Your Schedule-Friendly Tutor & Skilled Writer
Your Schedule-Friendly Tutor & Skilled Writer
Full Stack Web & Mobile Developer, AI Integration Specialist
Full Stack Web & Mobile Developer, AI Integration Specialist