Create Next App
AI Startup
RemoteRemote OKFull-time$140k – $220k / year
About this role
Create Next App
Deepak Karkala
Senior ML Engineer | Founding AI Engineer at Vavi Labs | GenAI | MLOps | AWS • Python • LLMs | Ex-EPFL • 1 Patent
About Me
Senior ML Engineer and Founding AI Engineer at Vavi Labs with 6+ years of experience in ML/AI, shipping production ML systems and building AI-native products. Led end-to-end ownership across the MLOps lifecycle: evaluation frameworks, LLM-as-judge workflows, CI/CD regression tests, production debugging, stakeholder management, latency SLOs, drift monitoring, reliability analysis, and A/B testing. I've shipped systems across multiple domains—supervised learning, time series forecasting, anomaly detection, NLP/GenAI (RAG, LLM fine-tuning)
At Vavi Labs, I am building Arbiter, a beta CLI-first decision-intelligence platform using repo/ticket/incident context, audit trails, confidence scoring, and Slack review loops; BatSwing, a PWA + computer-vision cricket coaching product processing a few dozen reports weekly from one academy while tuning the pipeline; Creative Collab OS, a beta creative AI studio using workflow graphs, direction checkpoints, taste memory, and multimodal generation; Canonic, a creative AI verification layer with task environments, rubrics, human-validated judges, and reference profiles; Founder OS, an operating system for solo makers built around Business Reports and WhatsApp Ops Digests; Tech Abstractions, an AI/ML interview-prep platform with a few dozen users waitlisted; dev tools/plugins for coding agents; illustrated explainers; and fine-tuning projects.
For a mid-sized European e-commerce marketplace, I built 4 production ML systems:
- • 5% conversion uplift via real-time purchase intent scoring
- • 12% higher marketing ROI through CLV prediction
- • 4% search-to-purchase improvement with RAG-powered discovery
- • 60% cost reduction in LLM based review summarization with fine-tuned Mistral-7B
Earlier at eSMART Technologies, I built 2 IoT ML systems:
- • 20% reduction in emergency