Hritik Ranjan Pujhari

Analyzing IoT camera firmware without physical hardware access or risking bricking devices requires an accurate CPU and peripheral emulator capable of executing low-level kernel boot sequences.

Built a full MIPS32/XBurst CPU core emulator and hardware peripheral engine in Go. Capable of parsing raw SPI flash dumps, modeling MMIO registers, UART serial consoles, hardware timers, and executing MIPS assembly instructions to boot real embedded Linux kernels.

Implementing exact MIPS instruction set (ISA) semantics, handling Coprocessor 0 (CP0) register state, MMU page table translation, memory-mapped I/O (MMIO) trapping, and debugging early kernel panic sequences during board setup.

Proprietary IoT mini-cameras often depend on untrusted vendor cloud apps with heavy latency, privacy concerns, and binary obfuscation, preventing direct local RTSP/HTTP streaming.

Reverse engineered the HDWifiCamPro Android application using APK decompilation and Wireshark packet capture to uncover PPPP (Point to Point) network commands and custom XOR payload encryption schemes. Built a standalone zero-dependency Go server that streams video directly over HTTP MJPG.

De-obfuscating custom binary protocol packets without documentation, reverse engineering XOR key routines, handling lossy UDP packet streams, and optimizing concurrent MJPG broadcast to low-bandwidth web clients.

Standard HTTP file downloads sequentially underutilize network bandwidth when retrieving large assets or batch files.

Developed a thread-safe Go library that splits large files into HTTP Range-chunk requests, managing concurrent goroutine worker pools with customizable completion callbacks and stream buffering.

Handling HTTP Range header support variations across edge servers, synchronizing partial file chunk assembly on disk without race conditions, and ensuring graceful shutdown upon network drops.

Understanding how modern HTTP frameworks process requests under the hood, handle route matching, and execute middleware chains.

Implemented a zero-dependency HTTP web framework with support for parametric routing, middleware execution pipelines, static file serving, and customizable CORS handling.

Building efficient route matching algorithms, managing middleware execution scope and next() error propagation, and handling streaming HTTP response headers.

Scraping data across large-scale dynamic endpoints while respecting site rate limits, proxy rotation, and varying schema structures.

Created a flexible Go scraping engine utilizing worker pools, configurable proxies, request delays, dynamic JSON path extraction, and automated retries.

Preventing IP bans through proxy rotation management, handling non-standard HTML/JSON responses, and managing rate limiting across parallel goroutines.

App Inventor users and visual programmers struggle to manually translate raw cURL requests and headers into block-based UI components.

Built a web tool that parses cURL syntax into AST structures and generates visual Blockly code blocks ready to copy-paste into MIT App Inventor projects.

Lexing complex cURL CLI arguments (flags, headers, data payloads, escaped quotes) and mapping them accurately into App Inventor block XML formats.