Hamza Hameed
Backend Python Engineer | Django, FastAPI, REST APIs & Cloud
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Hamza is ready for their next project!
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 — Create, track, search, filter, and manage large volumes of recruitment leads.
Advanced Lead Filtering — Filter leads by source, team, assigned user, country, status, sales task, outreach activity, and other attributes.
Company Management — Maintain company records, domains, assignments, statuses, and associated recruitment activity.
Candidate & Person Management — Organize candidate/person information and connect it with companies, jobs, and leads.
Sales Workflow Management — Track sales tasks, responses, resume submissions, interest, contracts, and other recruitment stages.
Job Management — Associate leads and candidates with relevant job opportunities.
Lead Assignment — Assign companies and leads to specific team members and manage ownership across the recruitment workflow.
Search & Reporting — Provide administrative tools for quickly finding and managing large datasets.
Scalable Data Management — Built the backend around high-volume recruitment data, with the interface showing 250K+ leads and 200K+ company records.
Admin Operations — 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 · Django · Django REST Framework · PostgreSQL · REST APIs · Database Design · Backend Development
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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 — Create and apply pricing strategies based on stock, demand, promotions, competitors, volume, and time-based rules.
Product Management — Manage product catalogs, variations, SKUs, pricing, inventory, POS data, and dynamic pricing status.
Competitor Pricing Intelligence — Collect and compare competitor pricing data to support data-driven pricing decisions.
ETL & Data Pipelines — Ingest, transform, and synchronize data from multiple external sources.
Third-Party Integrations — Built integrations with platforms such as Shopify, Square, Toast, Clover, NCR, and other data sources.
Analytics & Dashboards — Provide revenue, net-value, price-index, competitor, and business performance insights.
Pricing Strategies — Support promotion-based, stock-based, volume, time-based, demand-based, competitor-based, and fixed-markup pricing.
Lead & Company Management — Manage leads, companies, assignments, sales tasks, and recruitment/business workflows within the broader platform.
API Integrations — Connect external services and data providers through backend APIs and integration workflows.
Scalable Data Architecture — 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 · Django · Django REST Framework · PostgreSQL · Amazon Redshift · AWS · Docker · REST APIs · Celery · ETL · Data Pipelines · Third-Party APIs
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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:
👗 Virtual Try-On — Apply garments and accessories to generated or uploaded models.
🧑🎨 AI Model Generation — Create realistic fashion models with configurable gender, appearance, measurements, poses, and backgrounds.
🖼️ AI Image Generation — Generate fashion campaigns and product visuals from prompts and references.
🎬 AI Video Generation — Turn generated fashion imagery into promotional videos.
🔄 Face Swap — Generate customized fashion content using face-swapping workflows.
🛡️ AI Quality Assurance — Automatically evaluate generated results and retry failed generations when necessary.
📚 Generation Library — Track and manage generated assets and their parameters.
💳 Credits & Billing — Manage generation credits, subscriptions, usage, and add-on credits.
⚙️ Generation Parameters — Store model configuration, garments, poses, backgrounds, aspect ratios, and generation metadata.
Technology
Python · Django · FastAPI · PostgreSQL · REST APIs · Replicate · OpenAI · Docker · AI Image Generation · 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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Django - SkillSwap
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