Background
Final-year IT student at the University of Tasmania, majoring in Artificial Intelligence, with practical work across machine learning, cloud data, algorithms and software delivery.
HELLO, I’M
Billal Hossain Shishir
IT Student • Artificial Intelligence
AI • Data • Software
Building practical intelligent systems and data-driven solutions. Passionate about using technology to create useful, reliable and real-world impact.
Focus
Building useful AI-powered solutions, working with real-world data and developing reliable software with clear requirements and careful testing.
▥ Data Analysis
✦ ML Workflows
</> Software Development
⬡ Trustworthy Technology
⌄ SCROLL TO EXPLORE
Turn
Data into
a Better
Tomorrow.
Data into
a Better
Tomorrow.
▥LearnToday
✦BuildSolutions
◉CreateImpact
IDEASDATAPEOPLEA BRIGHTERTOMORROW
01 / ABOUT
Building technical depth while learning how technology serves people.
MY DIRECTION
AI + Data + Software + Delivery
I’m developing a broad technical foundation through university projects, industry engagement and client-facing delivery. I like the space where code meets real requirements: understanding the problem, building the solution, testing it carefully and explaining it clearly.
Problem SolvingI enjoy breaking down complex problems and turning them into practical solutions.
Team DeliveryComfortable working with people, requirements, testing, feedback and clear communication.
Current FocusBuilding skills in AI, data, software and trustworthy technology for real-world impact.
Bachelor of Information Technology
Major in Artificial Intelligence
University of Tasmania · Hobart
Final-year studentRAMIFY OS
Project Manager for an auditable AI product-trust demonstration.
Requirements · Testing · Documentation · Client feedback02 / SELECTED PROJECTS
Projects that show how I approach data, algorithms and software.
01INDUSTRY / AI
R
RAMIFY OS
Project Manager for a browser-based AI product-trust demonstration that produces auditable decision receipts from structured evidence. I coordinate scope, requirements, team responsibilities, testing, documentation, demos and client feedback.
Industry project · private repository
02MACHINE LEARNING
ML
Machine Learning Model Comparison
Compared classification models using Python and scikit-learn, applying evaluation metrics, cross-validation and model tuning to understand performance trade-offs.
View on GitHub ↗03ALGORITHMS / C
D
Emergency Route Planning
Implemented weighted graph route planning using Dijkstra shortest path and a binary-heap priority queue, including route reconstruction and invalid/unreachable cases.
View on GitHub ↗04CLOUD / DATA
☁
Cloud Data Processing
Built and tested a transformation worker in a distributed Nectar Cloud workflow, encoding categorical variables and preparing numerical features for machine learning.
View on GitHub ↗05DATA STRUCTURES
DS
Data Structures Performance
Built a food-delivery data prototype with arrays, AVL trees, hash tables and linked lists, then benchmarked search performance as the dataset size increased.
View on GitHub ↗06ML PROJECT
★
Star Classification
A machine-learning project exploring classification workflows and model behaviour on structured astronomical data.
View on GitHub ↗03 / SKILLS
A practical toolkit that keeps growing with every project.
Programming & Web
Python · C · JavaScript · HTML · CSS · SQL · SQLite
AI & Data
pandas · NumPy · scikit-learn · classification · model evaluation · GridSearchCV · Jupyter
Algorithms
Arrays · linked lists · AVL trees · hash tables · weighted graphs · Dijkstra · binary heaps
Cloud & Systems
Nectar Cloud · distributed processing · AWS fundamentals · Linux · Windows · UNIX shell
Development
Git/GitHub · REST/API concepts · structured JSON · VS Code · unit testing · performance benchmarking
Project Delivery
Requirements analysis · functional testing · documentation · stakeholder communication · presentations · coordination
04 / EXPERIENCE
Technical project delivery supported by strong customer-facing experience.
JUL 2026 — PRESENT
University Industry Project · Hobart
Project Manager — RAMIFY OS
Lead project planning and coordination across requirements, testing, documentation, team responsibilities, client feedback, guidance and final demonstration preparation.
OCT 2024 — PRESENT
Bennett’s Petroleum · Hobart
Customer Service Representative
Provide responsive customer service, handle transactions, resolve enquiries and complete operational work accurately in a fast-paced environment.
JUN 2024 — SEP 2024
McDonald’s Rosny Park · Hobart
Crew Member
Processed orders and transactions accurately, coordinated with colleagues and maintained organised work areas during busy service periods.
APR 2023 — DEC 2023
Gadget and Gear · Dhaka
Customer Service Assistant
Supported customers with technology product enquiries, recommendations, payments, returns, complaint resolution and stock-related tasks.
05 / INDUSTRY ENGAGEMENT
Learning outside the classroom.
TasNetworks × UTAS × AWS Open Innovation Hackathon
Collaborated over three days on a real Tasmanian energy-sector challenge, combining rapid problem-solving, teamwork and AI/cloud concepts.
DataEngBytes Melbourne 2026
Attended industry sessions covering AI engineering, GraphRAG, Snowflake, synthetic data, observability, data architecture and agent workflows.
06 / BLOG & CASE STUDIES
Going beyond the finished project to explain the thinking behind it.
RAMIFY OS — building an auditable product-trust demonstration
How requirements, testing, client feedback and traceability shaped an industry AI project.
Read case study →TasNetworks × UTAS × AWS Open Innovation Hackathon
What I learned from solving a real energy-sector challenge under a short innovation sprint.
Read case study →Choosing classification models with evidence
A practical look at model comparison, evaluation metrics, validation and performance trade-offs.
Read case study →Building a transformation stage in a distributed data workflow
How clear inputs, transformations and testing make cloud data pipelines easier to trust.
Read case study →LET’S CONNECT
Open to graduate roles, internships and early-career technology opportunities.
I’m particularly interested in AI, data, software, testing, cloud and technology delivery roles where I can contribute while continuing to learn.