Hritik Ranjan Pujhari
Currently building marketing intelligence platforms at SLYCE GMBH in Berlin (Remote). Focused on high-volume Go microservices, GCP Cloud Run infrastructure, embedded Linux firmware analysis, and reverse engineering proprietary IoT protocols.
t23emu: Embedded Linux Firmware Emulator for Ingenic T23 SoC
An emulator for the Ingenic T23 XBurst MIPS platform built to analyze and boot real IoT camera firmware. The project focuses on CPU emulation, hardware modeling, firmware analysis, and understanding embedded Linux systems.
A9 WiFi Camera Reverse Engineering & Streaming Server
IoT protocol analysis, Android app reverse engineering, and a lightweight HTTP MJPG streaming server in Go for the A9 WiFi mini-camera.
DlFetch: Concurrent Go File Downloading Library
A high-performance Go library designed for concurrent file downloading with worker pool management, progress tracking, and resilient retry logic.
Xcess: Lightweight Node.js Web Framework
An express-like lightweight web framework for Node.js built from scratch to understand web server primitives, routing algorithms, and middleware chains.
QScrapper: High-Throughput Concurrent Web Scraper
A scalable web scraping tool in Go built for high concurrency, proxy rotation, rate-limiting, and flexible JSON path extraction.
Curl to Blocks: Visual API Integration Tool
A developer productivity web application that parses cURL commands into Blockly visual blocks for MIT App Inventor integration.
Building a marketing intelligence platform for managing ad campaigns across UberEats, Wolt, Takeaway, and Delivery Hero.
- Architecting ad campaign platform using TypeScript, Next.js (BlitzJS), Prisma, and PostgreSQL deployed on GCP Cloud Run.
- Implementing high-volume data pipelines with BigQuery, Pub/Sub, and Cloud Tasks for campaign performance analytics and availability tracking.
- Integrating multi-platform APIs for bidding, menu management, and outlet operations across food delivery networks.
Led engineering for a college consulting platform serving 14,000+ active users; promoted to Team Lead within 6 months.
- Led core engineering using Next.js, MongoDB, Redis, and microservices architecture serving over 14,000 active users.
- Engineered internal automation tools in Python and Go for web scraping, data processing, and AI-driven workflows.
- Boosted user retention by 20% by delivering data-driven features and optimizing mobile-first UI responsiveness.
Developed Java-based native Android SDK extensions and reverse engineered platform internals.
- Wrote Java-based native extensions interfacing directly with Kodular Android platform SDK and native Android APIs.
- Published reusable SDK components downloaded 1,000+ times covering custom HTTP clients, local storage, and custom UI components.
- Reverse engineered platform internals to hook into undocumented extension lifecycle events and dispatch mechanisms.