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JH-Jitu/README.md
Md. Jidanul Hakim Jitu - Software Engineer, Programmer, CSE Graduate

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 About Me

name: Md. Jidanul Hakim Jitu
location: Bangladesh 🇧🇩
education:
  degree: BSc in Computer Science & Engineering
  university: American International University-Bangladesh (AIUB)
  major: Software Engineering
  cgpa: 3.92/4.00
  honors:
    - 🏅 Magna Cum Laude Award for Academic Excellence
    - 📋 Dean's List Award — Every Regular Semester
    - 🎓 Academic Scholarship for Excellence

current_roles:
  - Software Developer @ ShiftLayer
  - Technical Consultant @ DevBucket (Part-Time)

interests:
  - AI Safety & Alignment
  - Parameter-Efficient Fine-Tuning (LoRA/PEFT)
  - Computer Vision
  - Full Stack Engineering

fun_fact: 🎸 I love to play guitar!

💼  Professional Experience

ShiftLayer

Software Developer — ShiftLayer  🇺🇸 Remote
Nov 2025 – Present
Part of a team building decentralised AI benchmarking infrastructure on the Bittensor network. Developing full-stack systems for automated model evaluation workflows and data visualisation.
🔗 ShiftLayer · BrainPlay Subnet 117 · GitHub
DevBucket

Technical Consultant — DevBucket  🏢 Hybrid (Part-Time)
Nov 2025 – Present
Providing technical consultation on feature planning, promotional logic, architecture and product decisions across multiple business products.
🔗 DevBucket
Athena CRM

Software Developer — Athena CRM  🇬🇧 London, Remote · 3 Years 6 Months
Apr 2022 – Sep 2025
Contributed to engineering production-grade systems across web and mobile platforms. Built data-driven interfaces, scalable architectures, and optimised system performance.
🔗 Athena CRM · Plac-D

🔬  Research

🧠 Large-Scale Safety Evaluation of Public LoRA Modules  — In Progress

Examining how LoRA-based fine-tuning impacts safety and alignment in LLMs. Evaluating 100+ public modules for toxicity, jailbreak susceptibility, and demographic bias amplification.

📝 Advancing NLP Tasks Through Fine-tuning of Foundation Language Models  — 2024 · Independent Research

Fine-tuned GPT-2 Medium with adaptive few-shot learning and Optuna hyperparameter optimization. Achieved 86.7% accuracy on IMDB sentiment benchmark under limited labeled data.

🏥 Machine Learning for Clinical Risk Prediction  — 2022 · Undergraduate Thesis

Supervised learning study on early stroke risk prediction using imbalanced clinical data. Benchmarked SVM, Random Forest, and Naive Bayes; identified Random Forest as most robust under imbalance.
Supervisor: Sharfuddin Mahmood, Assistant Professor, AIUB

🚀  Featured Projects

Project Tech Stack Links
DealerHQ — Distribution Management System Next.js MongoDB Prisma ShadCN Tailwind AWS 🌐 Website · 📊 Dashboard
Recruitment Management System — Polyglot Architecture Java Spring NestJS NextJS Python PostgreSQL MySQL Multiple Source Implementations
DA Shortcut — Telemedicine Ecosystem (Client) MongoDB Express React Node React Native SSL-Commerz MERN + Mobile

🛠️  Tech Stack

Languages

Python TypeScript JavaScript Java C++ C# PHP SQL

Machine Learning & AI

PyTorch Hugging Face scikit-learn Pandas NumPy

Frontend

React Next.js React Native Redux TailwindCSS ShadCN MUI

Backend

Node.js Express NestJS Spring GraphQL

Databases & Infrastructure

MongoDB PostgreSQL Firebase AWS Vercel Git

Design & Tools

Figma Photoshop Illustrator VS Code

🎓  Teaching & Mentorship

Instructor — React & React Native Workshop | AIUB Computer Club
Jan 2022 – Apr 2022
Designed and delivered a 4-month project-based workshop on Cross-Platform App Development covering HTML, CSS, JS, JSX, React, and React Native.
🔗 AIUB Computer Club

📊  GitHub Analytics

GitHub Streak

📈  Contribution Graph

Jitu's GitHub Activity Graph

💬  Let's Connect!

I'm always open to collaborating on interesting projects, research opportunities, or just a friendly chat about tech & AI.


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