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RP Rakesh Singh Parihar
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Selected work

A decade of systems work across AI/ML, multiplayer infrastructure, and mobile games. Each case study makes the problem, ownership, decisions, and production proof explicit.

01 △ AI / ML

Live

GlamAR Skin Analysis Pipeline

Computer vision pipeline analyzing skin attributes from a single selfie — model training, evaluation, and low-latency production serving for AR e-commerce.

Tech Lead, AI Platform · 2023 — present
PythonPyTorchComputer VisionFastAPI
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02 ◇ Systems

Live

Frolic Multiplayer Framework

Custom and open-source multiplayer frameworks powering real-time gameplay across the Frolic gaming platform.

Senior Engineer · 2021 — 2023
Node.jsUnity (C#)WebSocketRedis
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03 △ AI / ML

NDA-Trimmed

Real-time Face Tracking & Light Detection

Real-time face landmark tracking and illumination estimation for AR try-on at GlamAR — performance-constrained ML in production.

Tech Lead, AI Platform · 2024 — present
Computer VisionReal-time MLARMobile
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04 △ AI / ML

NDA-Trimmed

Custom Model Training Pipeline

MLOps platform for training, evaluating, and shipping custom computer-vision models at GlamAR.

Tech Lead, AI Platform · 2023 — present
PythonPyTorchMLOpsData Versioning
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05 ◇ Systems

NDA-Trimmed

Real-Money Gaming Backend

Backend systems for real-money gaming (Ludo + cards) — transaction integrity, fairness, anti-cheat, regulatory considerations.

Senior Engineer · 2018 — 2021
Distributed SystemsTransactional IntegrityAnti-CheatRegulatory Compliance
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06 ○ Mobile Games

Archived

A Decade of Mobile Games — Retrospective

What I learned shipping casual, hypercasual, and cooking games across Unity and native mobile platforms.

Game Developer · 2014 — 2018
Unity (C#)Native iOSNative AndroidMobile
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RP Rakesh Singh Parihar AI engineer · Full-stack architect

Building the path to and from the model.

Staff-level engineering, architecture, and advisory conversations.

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