RKSSH LLP · Client Work

Results We've Delivered

Real projects, accurate metrics. Client names changed to protect confidentiality.

26

Projects

18

Industries

AllAI / MLBiotechClimateTechE-commerceEdTechFintechGamingHR TechHealthtechInsurTechLegalTechLogisticsMarTechMediaPropTechSaaSTravelTechWeb3

2 projects in AI / ML

← All projects
AI / ML2025-08

AI Startup: Production MLOps Platform in 6 Weeks

A computer vision startup had five models trained in Jupyter notebooks served by ad-hoc scripts on a single GPU instance. Models could not be versioned, retraining was manual, and two models had silently degraded for weeks. We built a production MLOps platform from scratch in 6 weeks.

Deploy time
Manual - hours per modelAutomated pipeline - 35 minutes end-to-end
Deploy freq
Ad-hocWeekly automated retraining per model
5 models in production, automated retrainingRead
AI / ML2025-09

AI SaaS: GPU Inference Infrastructure for a Document Processing Platform

A document intelligence startup was serving OCR and NLP models from a single A100 instance via a Flask app in a tmux session. P99 latency was 8.4 seconds, the instance cost $14,000/month, and a single bad request could crash the model server. We rebuilt the inference layer on EKS with vLLM, request batching, and autoscaling - cutting latency by 78% and cost by 60%.

Deploy time
Manual restart in tmux - 8 min, riskyRolling deploy with warmup - 6 min, automated
Deploy freq
Avoided deploys (fear of downtime)Weekly model updates
P99 latency: 8.4s → 1.8s, cost: $14K → $5.6K/monthRead