Building ResearchComb to Keep Claims Tied to Sources
Why I built ResearchComb, how its workflows keep claims tied to sources inside Codex and Antigravity, and how to install the current v0.5.23 bundle.
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Software Engineer
I build software
close to the metal.
Selected work / 2024–26
Projects built to understand the system.
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Complete core
6502 Microprocessor Emulator
I completed the execution path of an unfinished C++ CPU core and verified instruction behaviour.
13 CPU tests · Cycle-aware execution · IRQ, NMI and BCD
Explore case study ↗Maintained
Mini Redis Server
I built a small Redis-compatible server to explore TCP, RESP parsing, concurrent requests and persistence.
6 supported commands · 4 separated layers · Disk persistence
Explore case study ↗Actively refining
A* vs Dijkstra Maze Visualizer
I ran both pathfinders on the same generated maze and compared their search work and timing.
152-cell grid · Explored nodes and path length · Redis storage
Explore case study ↗Complete
AI Customer Support Agent
I built an offline retrieval and routing pipeline, then evaluated when it should hand requests to a human.
95.95% escalation recall on 150 held-out cases · Deterministic safety guardrails
Explore case study ↗Open source · v0.5.23
ResearchComb
ResearchComb is an open-source skill pack for AI coding assistants—OpenAI Codex and Google Antigravity. It takes a research topic from literature search through drafting, critique, and citation checks, keeping a shared evidence record so claims stay tied to sources.
v0.5.23 · 12 research workflows + update command · MIT licensed
Explore case study ↗Writing / Field notes
What I learn while building.
01 / 04
What The Imitation Game Taught Me About System Design
How a repeated phrase turns an impossible search into a constrained problem—and what that teaches us about invariants, protocols, observability, debugging, and security.
Read articleConnecting My Maze Visualizer to Redis
How two separate C++ projects became one useful system through serialization, POSIX sockets, RESP, validation, and persistent storage.
Read articleWhy Dijkstra Beat A* in My Tiny Maze
A practical look at why the theoretically smarter algorithm can lose on a small grid—and what profiling taught me about heuristics, overhead, and hardware reality.
Read articleLeadership / Community
Building teams and experiences beyond the codebase.
Lead Organiser
Cursor Hackathon Kashmir
Led the planning and execution of a two-day national hackathon in Kashmir with more than 600 attendees, coordinating people, logistics, communication, and delivery under a fixed deadline.
Team lead
Techvaganza
Led a 29-member team across three months of planning and execution, translating a large event into clear responsibilities and measurable checkpoints.
Event host
TEDx NIT Srinagar
Hosted the event on stage, helping connect speakers, ideas, and the audience through clear live communication.
About / Approach
Chemical engineering taught me to think in systems. Code gave me a way to build them.
I’m an engineering student at NIT Srinagar moving deliberately into software. My best learning happens below the surface: tracing an instruction, opening a socket, profiling an algorithm, or finding the exact abstraction that makes a backend easier to reason about.
Outside code, I’ve led teams and organized a two-day national hackathon in Kashmir with more than 600 attendees—experience that sharpened how I communicate, coordinate, and ship under pressure.
EducationNational Institute of Technology Srinagar
B.Tech, NIT Srinagar, class of 2027 · Chemical Engineering
Engineering fundamentals + self-directed computer science
Languages
C, C++, and Python—with C++ as the foundation for my systems and algorithmic projects.
Core concepts
Object-oriented programming, data structures, algorithms, multithreading, networking, operating systems, and system design.
Tools & data
Linux, Git, STL, Redis, and MySQL—used to build, inspect, test, and reason about working software.
C · C++ · Python · Redis · MySQL · Linux · Git · STL
Contact / Let’s talk