Projects using Docker in PunjabProjects using Docker in PunjabFashion 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. I simulated a real-world Active Directory (AD) attack to identify and exploit misconfigurations within a Windows domain environment. The goal was to practice enumeration techniques, escalate privileges to domain admin, and establish persistent access.
I started with LDAP enumeration using ldapsearch to map domain users and groups. Using BloodHound, I visualized attack paths and identified a Kerberoastable service account — a weak SPN tied to an outdated service. I extracted the hash using GetUserSPNs.py (http://GetUserSPNs.py) and cracked it with Hashcat, revealing the cleartext password. I then used Pass-the-Hash to authenticate as a domain admin using PsExec. To maintain persistence, I added a domain admin backdoor account using Mimikatz. Finally, I cleared event logs to avoid detection and exported a full attack report for remediation.
Tools Used: ldapsearch, BloodHound, Hashcat, GetUserSPNs.py (http://GetUserSPNs.py), PsExec, Mimikatz, eventlog (for cleanup)
Deliverable: Full attack timeline with screenshots, enumeration outputs, and security recommendations. VendorInvoiceHub (VIH) is an enterprise-grade SaaS platform built to streamline vendor invoice acquisition, processing, and contract cost validation for retail chains and convenience store operators. The platform eliminates manual invoice reconciliation by automating invoice ingestion, extracting line-item data, and validating vendor pricing against negotiated contracts. This helps businesses detect overbilling, reduce operational overhead, and gain full transparency into vendor performance while managing multiple organizations within a secure multi-tenant environment.
Designed for finance teams, store managers, and operations leaders, VendorInvoiceHub provides a centralized system to manage invoices, vendors, stores, and pricing agreements in one place. The platform supports high-volume invoice processing, AI-powered data extraction, and real-time analytics, allowing businesses to track compliance, identify cost discrepancies, and improve procurement decisions. With cloud-based deployment and scalable architecture, the solution supports enterprise-level workloads while maintaining performance and data isolation across tenants.
The system includes automated invoice ingestion via file upload or integrations, AI-powered OCR extraction of invoice data, contract cost validation with variance detection, vendor and store management, proof-of-delivery reconciliation, real-time dashboards and analytics, role-based user access, multi-tenant configuration, exception reporting, Excel and PDF exports, background processing for large workloads, error tracking, and audit logging to ensure reliability and compliance.
Built using React, TypeScript, Tailwind CSS, Material UI, Django, Django REST Framework, PostgreSQL, Redis, Celery, AWS S3, Docker, and cloud deployment .
A scalable financial operations platform that helps retail businesses reduce vendor overbilling, automate invoice workflows, and gain real-time visibility into procurement and cost performance.
#SaaS #EnterpriseSoftware #React #Django #FinTech #RetailTech #InvoiceAutomation #B2BSoftware #CloudApplications #MultiTenant #AIProcessing #BusinessAutomation 
