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Shobana Chandrasekaran
Mid-Level Software Engineer specializing in AI microservices and generative fashion
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About
Backend/AI workflow engineer at a startup building production AI services for fashion workflows, including an AI-powered techpack generation API in Go (Gin) with MongoDB handling ~1k+ daily requests. Recently implementing an image-to-3D dress generation feature end-to-end, integrating a Python FastAPI AI service with ComfyUI + Hunyuan, with strong emphasis on async orchestration, webhooks, and observability (OpenTelemetry + SigNoz).
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Key Strengths
- Built and operated production Go API for AI techpack generation (~1k+ requests/day)
- Debugged multi-hop 500 errors by identifying Nginx reverse-proxy timeout and improving error propagation
- Implemented end-to-end observability with OpenTelemetry traces to SigNoz and traceID-linked structured logs
- Designed async AI workflows with UUID status tracking and webhook-based result delivery
- Integrated AI pipelines (ComfyUI + Hunyuan) behind a Python FastAPI AI service
- Implemented safety guardrails: prompt filtering, unsafe image checks, rate limiting, alerts, and audit logging
- Improved MongoDB performance by addressing N+1 query pattern using lookup
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1 publication
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