OTTPlay mobile
Led cross-platform mobile delivery, native player work, streaming reliability, React Native performance, observability, sprint planning, code review, and stakeholder communication.
Read case noteSenior full-stack and applied AI engineer
I have 10 years building product systems across web apps, ERPs, video-streaming platforms, mobile apps, backend services, analytics, user feedback loops, and growth campaigns. At OTTPlay, I led mobile work at 10M+ download scale; my current work adds applied AI on top of that base: WittyKeys, AI-SDR, RAG, and SFOS, the operating system I use for AI-orchestrated development, automated QA, evals, logs, and release confidence.
Java/Kotlin, Play Store release cycles, mobile reliability, and platform constraints.
React/Next.js web apps, React Native and Android apps, Node/NestJS backends, ERPs, OTT/video streaming, logistics, on-demand platforms, MongoDB/MySQL, AWS, and direct founder/product collaboration.
Led a 5-engineer mobile team at 10M+ download scale via Wrocus / HT Media. Improved playback reliability, native player performance, React Native rendering, release quality, and product iteration from real usage signals.
WittyKeys, AI-SDR, Support Brain, Campaign Brain, automated QA, evals, and the solo-founder operating system around them.
An Android AI keyboard and writing assistant for bilingual/Hinglish communication. The real work was not only prompt calls. It was onboarding, permissions, keyboard trust, overlay behavior, entitlement states, quota handling, release checks, logs, and Play Store polish.
Led cross-platform mobile delivery, native player work, streaming reliability, React Native performance, observability, sprint planning, code review, and stakeholder communication.
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Campaign setup, prospect research, Claude-assisted drafting, regeneration, approval queues, follow-up, analytics, and browser E2E checks. Final sends stay human-approved.
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A RAG support assistant pattern with ingestion, retrieval, citations, confidence scoring, escalation, gap analytics, and support operations dashboards.
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Analytics-to-action workflows for campaign calendars, recommendations, live performance, A/B testing, and optimization reports.
View linksI am strongest where product taste, full-stack execution, web/mobile systems, analytics, growth loops, and LLM workflow judgment all matter at the same time.