Summary
Overview
Work History
Education
Skills
Certifications And Achievements
Notable Projects
Timeline
Hi, I’m

Nazmus Salehin Sammo

Hawthorn,Australia
Nazmus Salehin Sammo

Summary

Computer science graduate with expertise in full-stack development, cloud computing, and AI/ML implementation. Possessing a track record of success, I have led technical teams and delivered scalable solutions as a certified CCNA professional. My technical excellence and problem-solving skills have been honed through my experience as an entrepreneur backed by Microsoft Founders Hub. Currently seeking opportunities in software or web development, cloud engineering, or IT support roles in Melbourne.

Overview

2
years of professional experience

Work History

Qeeri AI

Team Lead & Backend Developer
02.2024 - 12.2024

Job overview

  • Lead a development team of five for building AI-powered career guidance platform
  • Designed RESTful API backend using ASP.Net, Flask, React and Azure services.
  • Improved data retrieval performance through database sharding and parallel sql, nosql architecture.
  • Managed Agile workflow using Jira and automated CI/CD pipelines with Jenkins

Your Community Health

ML Engineer Intern
10.2023 - 03.2024

Job overview

  • Developed LLM-powered microservice reducing medical note review time by 75% from the conventional way
  • Implemented and optimized BERT LLM model using PyTorch for summarization
  • Improved LLM response latency by using Cloud Infrastructure Optimization
  • Collaborated with healthcare professionals to ensure system usability

Donate Blood

Founder & Lead Developer
07.2023 - Current

Job overview

  • Secured Microsoft Founders Hub funding for blood donation platform development
  • Built full-stack mobile application using React Native, Node.js, PostgreSQL and Express
  • Implemented location-based matching algorithm reducing connection time
  • Managed Azure cloud infrastructure using Docker and Terraform
  • Created comprehensive system documentation and user support workflows

Swinburne University

LLM Fine-Tuning Research
06.2023 - 11.2023

Job overview

  • Fine-tuned BERT-based models improving medical question-answering accuracy by 65%
  • Tested with different fine tuning techniques to fine the most efficient fine tuning method for BERT
  • Published research findings in university repository
  • Collaborated with cross-functional teams for research Output

Education

Swinburne University of Technology

Bachelor of Computer Science from Data Science & AI

University Overview

Relevant Coursework: Software Development, Cloud Computing, Database Management, Machine Learning, Network Security & Administration, Artificial Intelligence, Web Development, Project & Team Management

Skills

  • Python
  • JavaScript
  • React
  • React Native
  • Nodejs
  • C#
  • PHP
  • AWS Proficiency
  • Azure Platform Expertise
  • Docker Deployment
  • Jenkins Pipeline Management
  • Version Control Automation
  • Deep Learning Framework Expertise
  • CI/CD Practices

Certifications And Achievements

  • CCNA (Cisco Certified Network Associate)
  • Microsoft Founders Hub: Selected for startup support program
  • Victorian Chamber of Commerce: Technical internship completion
  • Efficient Blood Donation Network Coordination using Donate Blood Application
  • Microsoft Azure Fundamentals (In Progress)
  • AWS Cloud Practitioner (In Progress)

Notable Projects

Restaurant Information System (MERN Stack, Cloud Deployment, DevOps)

A full-featured system for reservations, order management, POS, and payment processing, streamlining restaurant operations. Integrated AWS for hosting, Docker for containerization, and Terraform for infrastructure automation.

Visualizing Australian Migration Data (D3.js, JavaScript, Data Analysis)

Interactive platform mapping immigration trends by country and year, aiding policymakers and researchers. Processed large datasets using Python (Pandas, NumPy) and optimized visualizations using D3.js.

Tree-Based Search Algorithm Visualizer (Python, AI, Pathfinding Algorithms)

A visual tool showcasing BFS, DFS, A, and Dijkstra’s algorithms* for optimal path finding in grid environments. Developed using Python, JavaScript, and data structures for search efficiency.

Smart Contract Audit Website (MERN Stack, Blockchain Security, Slither)

A blockchain security platform analyzing smart contract vulnerabilities, helping Web3 developers ensure security. Utilized Slither for smart contract analysis, Node.js for backend processing, and MongoDB for secure data storage.

Timeline

Team Lead & Backend Developer

Qeeri AI
02.2024 - 12.2024

ML Engineer Intern

Your Community Health
10.2023 - 03.2024

Founder & Lead Developer

Donate Blood
07.2023 - Current

LLM Fine-Tuning Research

Swinburne University
06.2023 - 11.2023

Swinburne University of Technology

Bachelor of Computer Science from Data Science & AI
Nazmus Salehin Sammo