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whoami

System.Developer

Tech Enthusiast

Hey there! If you're seeing this then you must have known my name by now. Here's some more detail on who I'm and what I do. I am a passionate Competitive Programmer and MERN stack Developer with a strong understanding of Firebase and integrating it with AI/ML/NLP. I am currently pursuing a Bachelor of Engineering degree in Computer Science at Panjab University, where I have honed my technical skills and discovered my love for programming.

My journey in tech spans across multiple domains - Cryptography,C++,DSA,OS and Compiler Design. Including contributions to Opensource Organisations such as in Gsoc,SoB etc .

Technical_Stack.load()

Networking and Security

NS3 simulation via C++ Bitcoin-core Consensus functionality Protocol stack Axum

Backend

Tokio Libp2p Node.js Weaviate Langchain LangGraph

Languages

C++ Rust Python

DevOps & Tools

Docker AWS Git Linux LLvM Jaegaer

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Feb 2025 - August 2025

Project Intern

Summer of Bitcoin@BraidPool

• Structuring consensus functions for DAG based blockchain based out of Bitcoin on the basis of DAGKnight and ColorDAG architecture (Kaspa Network).
• Building custom protocol stack via libp2p for efficient and secured P2P communication utilizing noise,tcp/udp/quic.
• IPC mechanism via Cap'n'proto RPC framework for efficient communication/cohesion between the bundled binaries .
• Committed mempool utilzing the idea of deterministic `getblocktemplate` generation for reducing latency .
• Stratum V2 integration for improving security via binary-framing and RPC server-side and client-side implementation for inter-peer communication .
• Constructing hole-punching and port-forwarding via relay framework which acts as a thorn in P2P communication.

May 2024 - Dec 2024

Research and Development Intern

ZippiAI

• Built tokenizers using RNN, LSTM, and Transformers; improved tokenization .
• Implemented RAPTOR and developed Multi-Agentic RAG systems , utilizing the LangGraph for efficient cycling and corrective RAG for better accuracy.
• Developed scalable backend with Kafka and Node.js utilizing the distributed services built on AWS Bedrock and reducing latency with CUDA based inference and distillation via smaller models.

June 2023 - September 2023

Intern

Mdart-DIC(Easiofy Solutions)

• Engineered EEG-based physiotherapy glove; mapped signals to joint angles .
• Worked on flutter based functionality for EEG graphs and updating the sensor data via Firebase backend.

Connect.establish()

Email GitHub LinkedIn

For any discussion on any technical topic connect me at my mail, always open for thoughtful communication and discussion around networking,DSA and Cryptography.