shoppin' - Founding ML Engineer (AI/Infra)
Duration: Dec 2024 - Nov 2025
Role: Founding ML Engineer (AI/Infra)
Website: shoppin.app
Overview
Founding Machine Learning and Infrastructure engineer leading high-performance AI implementations and scalable cloud infrastructure for shoppin' — USAR Commerce Technologies.
Key Accomplishments
- Multimodal AI: Developed scalable ML pipelines (3-4 crore items). Deployed CLIP/VLLM systems for search & recs. Led end-to-end visual AI stack (YOLO, RT-DETR, MaskRCNN, Diffusion-based VTON).
- Scalable Infra: Built distributed image/video preprocessing pipelines. Dockerized and served models on AWS SageMaker.
- Backend & Automation: Designed CRUD APIs, integrated Redis/Alembic. Created high-throughput scraping agents for 200+ partner stores.
- Cloud & DevOps: Architected AWS EKS clusters with GitOps (Terraform, CI/CD). Enabled disaster recovery setups.
Level Progression Timeline (Dec '24 - Nov '25)
Note: Levels represent Technical Complexity & Architectural Responsibility
- Dec '24 (Level 3) // Multimodal AI
Started as Intern. Engineered CLIP/VLLM systems for visual search & recommendations. - Apr '25 (Level 4) // Backend APIs
Authored robust CRUD API patterns and implemented solid backend designs. - May '25 (Level 5) // Aesthetic Agents
Classified store catalogs utilizing human aesthetic parameters and integrated high-speed Redis caching. - Jul '25 (Level 6) // Internal Tools
Created administrative tools, developer dashboards, and led on-call system reliability support. - Aug '25 (Level 7) // Order Agents
Designed automated Shopify order placement triggers and automated transactional workflows. - Sep '25 (Level 8) // Scale & Rancher
Expanded Rancher orchestration clusters and deployed 200+ store scraper agents. - Nov '25 (Level 10) // Microservices
Architected and delivered event-driven distributed microservices using SQS/DLQ queues.
App Store & Play Store Downloads
Product Screenshots