Bhanu Prakash

Developed an Multi-player Android game application Go Kabaddi using C#, Unity, Photon Quantum, PlayFab, leveraging Claude code to accelerate architecture decisions and debug complex multiplayer state synchronization — scaling the game to 4200+ DAU (+22%) and achieving 27% D1 retention within 4 weeks of the launch. Architected and integrated a PlayFab backend for a multiplayer mobile game, covering player authentication, cloud save synchronization, virtual economy (Economy V2), leaderboards, and server-side friends logic via CloudScript. Designed and shipped retention-focused social systems — real-time global chat via Firebase RTDB, quest frameworks, a virtual economy shop, and feedback tools driving measurable uplift in player engagement.

Backend Developer at Flecks labs (2026-03 – 2026-06)

• Developed an Multi-player Android game application Go Kabaddi using C#, Unity, Photon Quantum, PlayFab, leveraging Claude code to accelerate architecture decisions and debug complex multiplayer state synchronization — scaling the game to 4200+ DAU (+22%) and achieving 27% D1 retention within 4 weeks of the launch.
• Architected and integrated a PlayFab backend for a multiplayer mobile game, covering player authentication, cloud save synchronization, virtual economy (Economy V2), leaderboards, and server-side friends logic via CloudScript.
• Designed and shipped retention-focused social systems — real-time global chat via Firebase RTDB, quest frameworks, a virtual economy shop, and feedback tools driving measurable uplift in player engagement.

Full Stack Developer at Bloomberg (2024-06 – 2025-12)

• Developed a Python based integration solution to synchronize large volumes of custom security attributes from Broadway's Market Maker to Bloomberg's Risk and Trade Workspaces via Bloomberg's Custom Data Editor(CDE), leveraging Claude Code to ensure code quality and best practices throughout development.
• Leveraged TOC's PROC interface to trigger Dynamic synchronization via SFTP with Bloomberg enterprise ports, enabling real-time data integration for consistent, accurate decision-making for traders.

Backend Developer at Broadway Technologies / Bloomberg (2023-06 – 2024-10)

• Designed and developed a high-throughput Java application to ingest and process data feeds using TOC, a framework resembling RabbitMQ, leveraging multi-threading to ensure system stability and low-latency data delivery, containerized using Docker for deployment.
• Leveraged Solve's extensive coverage including 5M+ daily quotes to enhance Broadway's pricing engine, enabling faster, more accurate fixed-income valuations.
• Engineered the application to be fully configurable with dynamic FIX filters, allowing fine-grained control over incoming data load based on trading desk needs.
• Enhanced Broadway's trade workflow by consolidating data into a new typescape for the Market Maker platform using ReactJS and Python, with Jest unit tests covering component and transformation logic.

Software Developer at FinIQ (2022-06 – 2022-08)

• Implemented Message Passing Graph layout algorithm that untangles workflow trade journey using Networkx.
• Redesigned Multi Leg Pricer using ReactJS to provide customisability in pricing the FX and EQ derivatives.

B. Tech in Computer Science Engineering – Indian Institute of Technology Bombay (2023)