Muhammad Sulleman

PROFESSIONAL PROFILE I am an individual with great love for learning and deep desire to contribute in solving aspiring problems EDUCATION Bachelor of software engineering Seecs , Islamabad , 2.47 (2026) INTERNSHIP EXPERIENCE PQC labs 11-Aug-2025 - 25-Oct-2025 OMDP39, or Optimized Mnemonic Distribution Protocol, is a cryptographic tool for securing BIP39 mnemonic phrases in cryptocurrency wallets. Traditional backups rely on a single phrase, risking total loss from theft or destruction, threatening billions in assets. OMDP39 uses Shamir's Secret Sharing to split the mnemonic into N shares, each as 33 random-looking BIP39 words. Any T shares (T ≤ N) reconstruct the original, while T-1 reveal nothing, offering information-theoretic security. Compatible with 12- or 24- word mnemonics, it supports configurations like 2-of-3 for personal use or 5-of-9 for enterprises, with HMAC checksums for integrity. This eliminates single points of failure, enabling distributed trust and redundancy across locations or parties. Built over GF(2^11) finite field matching the BIP39 wordlist, OMDP39 employs polynomial interpolation for splitting and Lagrange for reconstruction. Shares include a 56-bit header with metadata (version, set ID, N/T params), payload, and 22-bit checksum, totaling 363 bits. Security features cryptographic RNG, constant-time ops, and validations to prevent mixing or tampering. The CLI allows easy share creation/recovery in interactive or batch modes, cross-platform on Linux/macOS/Windows. Use cases include personal backups, family estate planning, corporate governance, and disaster recovery, targeting crypto holders, institutions, and wallet developers in a growing market. During my internship, I implemented the OMDP39 library in Go (v1.19+), developing the core Shamir algorithm with optimized GF(2^11) arithmetic using primitive polynomial x^11 + x^2 + 1. I handled share encoding/decoding, CLI tools for operations, extensive testing, and documentation. Emphasis was on security practices like secure randomness and performance (<1ms ops), setting up for audits, GUI, and hardware integration. FINAL YEAR PROJECT EmergeOs A platform for AI agents workflow generation platform like n8n where developers can register their agents in the registry and get paid when their agent is used by user TECHNICAL EXPERTISE Fullstack AI engineer Frontend: HTML, CSS, JavaScript, Tailwind CSS, shadcn/ui, Next.js Backend: Node.js, Express.js, Python Full Stack: MERN Cloud & Deployment: AWS, GCP, Vercel Databases: PostgreSQL DevOps: GitHub, CI/CD, Docker, Kubernetes AI / LLM: LLM Engineering, LangChain, LangGraph, Hugging Face ML & Data: Machine L ... Software engineering Databases , web dev , flutter ,dart , cloud , llms rag vector databases , aws gcp , Ec2 . Software design ,development development

I am an individual with great love for learning and deep desire to contribute in solving aspiring problems