PhD Candidate · 5+ Years Experience

Blockchain & AI Software Engineer

I love building blockchain applications and making the web more open for everyone. I’m fascinated by how AI is reshaping the world, and I enjoy experimenting with it and shaping it through my own code. Side projects are my weakness—once an idea hits, I can’t let it go.

📍Detroit, MI · Open to remote and on-site roles

Imran Pollob

Core Skills

Languages

Python JavaScript PHP Solidity Java C++

Frameworks & Databases

React Next.js Node.js Laravel MySQL MongoDB

Blockchain

Solidity Foundry Hardhat Ethers.js Web3.js

AI/ML

PyTorch Transformers LLM Fine-tuning RAG Vector Databases

Security

Smart contract security Vulnerability Detection Secure Protocol Design

Cloud & Ops

AWS Azure ML Docker CI/CD Linux Git

Timeline of

Professional Experience

  • Wayne State University logo

    Aug 2021 – Present · Detroit, MI

    Wayne State University

    Graduate Teaching Assistant

    • Formulated a Solidity vulnerability detection framework using a novel Hypergraph Neural Network to mitigate oversmoothing and domain-optimized LLMs for semantic extraction, trained on a custom 30GB+ ensembled dataset to maximize DApp security.
    • Designed a collaborative blockchain consensus architecture to detect malicious BSMs in V2X networks, utilizing dual-layer ledgers and smart contract-enforced Verifiable Rate-limit Tokens, reducing false positives and mitigating DoS floods.
  • Cefalo logo

    Sep 2019 – Jul 2021

    Cefalo

    Software Engineer

    • Engineered Python data pipelines and web scrapers to aggregate 250+ sources (reducing manual effort by 60%), while managing AWS infrastructure to guarantee system security and 99.9% uptime.
    • Enhanced a recruitment platform using Laravel and Vue.js, improving workflow efficiency and supporting 200+ active users.
  • Rapid Web Services logo

    May 2018 – Sep 2019

    Rapid Web Services

    Full-Stack Software Engineer

    • Engineered an inventory platform processing 50K+ daily requests, delivering invoice generation, multi-warehouse tracking, shrinkage detection, dynamic reorder alerts, and automated dropshipping across multiple businesses.
  • Codalo logo

    Nov 2016 – Apr 2018

    Codalo

    Software Engineer

    • Developed a school management system used across 20+ institutions, streamlining student and teacher administration, fee processing, course management, attendance, grading, and automated parental notifications.

Academic Background

Wayne State University

PhD Candidate

Computer Science

2021 – 2026

Grade: 3.87 out of 4.00

Jahangirnagar University

Master of Science

Information Technology

2016 – 2017

Grade: 3.65 out of 4.00

Jahangirnagar University

Bachelor of Science

Information Technology

2011 – 2015

Grade: 3.62 out of 4.00

Flagship Projects

View all projects →
NFT Rentals & Sales Protocol preview

NFT Rentals & Sales Protocol

Solidity protocol for renting and selling NFTs with ERC-4907 user rights, ERC-2981 royalties, escrowed payments, and secure settlement flows.

AI Multi-Agent Trading System preview

AI Multi-Agent Trading System

Multi-agent stock trading simulation that coordinates autonomous investment agents with OpenAI Agents SDK, MCP tools, portfolio tracking, and a real-time Gradio dashboard.

Notebase - Personal Knowledge Base preview

Notebase - Personal Knowledge Base

Personal knowledge workspace for rich-text notes, notebook organization, source ingestion, password-protected sharing, and notebook-scoped RAG chat with cited answers.

Certifications

Blockchain & Security

Blockchain Solution Architecture

  • Designed blockchain systems with architecture, security, and risk-aware decision-making.
View credential →

Security for Blockchain and DApps

  • Applied blockchain security, cryptography, and DeFi risk mitigation to secure systems.
View credential →

Blockchain Security

  • Explored blockchain threats and security fundamentals for vulnerability analysis.
View credential →

AI & Machine Learning

IBM Generative AI Engineering

  • Built and deployed generative AI systems using LLMs, transformers, and RAG pipelines.
View credential →

IBM RAG and Agentic AI

  • Developed agentic and RAG-based AI systems with multi-agent reasoning and tool integration.
View credential →

Microsoft AI & ML Engineering

  • Learned end-to-end AI/ML systems, from fundamentals to deployment on Azure.
View credential →

Contact

Let's build secure and intelligent systems

Open to roles in Blockchain, AI/ML, and Software Engineering