Kasralabs
Make Your Ideas Live and Productive
KasraLabs provides practical AI-as-a-Service for real-world problems.
Bridge your ideas and data with AI. Practical ML that turns data into measurable actions.
Crafting intelligent solutions at the intersection of artificial intelligence, machine learning, and data engineering.
Solutions
AI-powered services designed to solve real business problems
Context Creation Service
Automated web crawling and content extraction — turning unstructured web data into structured, actionable datasets for your business.
AI Conversation & Q&A Service
Intelligent conversational bots and automated agents — from RAG-powered document Q&A to customer support automation with high accuracy.
Image Processing
Computer vision and image analysis — leaf disease detection, plant classification, and object recognition using deep learning models.
Geo Map Optimisation
Spatial data analysis and geographic optimisation — route planning, location intelligence, and map-based insights for logistics and operations.
Insightful Analytics Service
Content analysis and viral prediction — gap analysis, trend detection, and data-driven insights for platforms like YouTube and social media.
Skills & Expertise
A comprehensive toolkit for building intelligent systems and data-driven solutions
Artificial Intelligence
Machine Learning
Data Engineering
Software Development
Tools & Technologies
Professional Journey
A timeline of my academic and research journey in AI, Information Systems, and software development
Ph.D. Candidate in Information Systems
Conducting cutting-edge research in AI and Information Systems. Focusing on machine learning applications, data analytics, and intelligent systems development.
Key Achievements
- •Leading research in AI and Information Systems
- •Developing innovative machine learning solutions
- •Publishing in top-tier academic journals
- •Teaching and mentoring graduate students
Research Assistant
Supported research projects in artificial intelligence and data science. Contributed to academic publications and conference presentations.
Key Achievements
- •Assisted in AI research projects
- •Contributed to academic publications
- •Presented research at conferences
- •Developed data analysis pipelines
Graduate Teaching Assistant
Taught undergraduate courses in software engineering and computer science. Mentored students in programming and software development.
Key Achievements
- •Taught software engineering courses
- •Mentored 50+ undergraduate students
- •Developed course materials and assessments
- •Provided technical guidance and support
Software Developer Intern
Developed web applications and software solutions. Gained hands-on experience in full-stack development and agile methodologies.
Key Achievements
- •Built responsive web applications
- •Collaborated with development teams
- •Implemented modern web technologies
- •Learned industry best practices
Education
Ph.D. Information Systems
Research in AI & Information Systems
University of Auckland • Current
Master of Science
Artificial Intelligence
University of Auckland • Completed
Bachelor of Science
Software Engineering
University of Auckland • Completed
Latest Articles
Insights and technical guides on AI, machine learning, and data engineering.
Insightful AI Service: How to Analyse YouTube Channels and Generate Content Ideas
A practical guide to building an insightful AI pipeline that scrapes YouTube data, analyses sentiment with GPT, identifies content gaps, and generates high-potential video ideas using LLMs and EDA.
RAG Chatbot Service: How to Build a Conversational AI for Business Documents
A practical guide to Retrieval-Augmented Generation (RAG) — how to convert PDFs, websites, and documents into an interactive chatbot for document Q&A, product search, and business knowledge assistants.
How to Find the Nearest Location Using Python Geospatial Analysis
Step-by-step guide to building a geospatial route optimisation system in Python — detecting suburb polygons, calculating shortest paths with Dijkstra's algorithm, and finding the nearest location from any address in Brisbane.
Build an AI Content Generation Pipeline with GPT and Google Trends
How to build an automated content pipeline using GPT and Google Trends API — generate SEO-optimised articles, rank them against trending keywords, and auto-publish to your website using Python.
History of Automation: From the Jacquard Loom to AI Chatbots
A complete history of automation — tracing the journey from the Jacquard loom and steam engine through the Internet, deep learning, and ChatGPT, and what it means for the future of AI.
How Attention Mechanisms Work in Large Language Models (LLMs)
A clear explanation of attention mechanisms in Large Language Models — why they are critical, how they work with query-key-value operations, and a practical comparison showing LLM responses with and without attention.
How YOLO Object Detection Works: A Deep Neural Network Analysis
A visual deep-dive into how YOLO processes images layer by layer — exploring convolutions, batch normalization, and how deep CNNs transform pixel data into real-time object detections.
Genetic Algorithms Explained: From Basics to Python Implementation
A comprehensive beginner's guide to Genetic Algorithms — covering genes, chromosomes, mutation, crossover, and fitness functions, with a hands-on Python implementation solving the N-Queen problem.
How to Structure DBT Models for Complex Data Pipelines
A practical guide to applying modular programming in SQL using DBT — covering staging, intermediate, and final model layers with a real-world shopping example for data engineers.
GPT-5 vs GPT-4.5 for Code Generation and Debugging: A Real Test
A hands-on experiment comparing GPT-5 and GPT-4.5 Turbo on SQL debugging tasks — revealing why GPT-5 may have hit the S-curve ceiling and what it means for AI-assisted development.
AI as a Service Components: Data, Model, and Insight Explained
A breakdown of the three core components of AI as a Service (AIaaS) — Data, Model, and Insight — and how they work together to bring AI use cases to market for businesses.
What Is AI as a Service (AIaaS)? A Business Guide
A practical guide to AI as a Service (AIaaS) — what it is, why businesses are adopting it, and how it powers real-world AI solutions without building from scratch.
Get In Touch
I'm always interested in new opportunities and exciting projects. Feel free to reach out if you'd like to collaborate or just say hello!
Taq Kasra - Ancient Persian Architecture
Taq Kasra, also known as the Arch of Ctesiphon, is the world's largest single-span vaulted arch of unreinforced brickwork. Built in the 6th century CE during the Sasanian Empire, this magnificent structure stands as a testament to ancient Persian engineering and architectural brilliance.
Located in Ctesiphon, Iraq (near modern Baghdad), this architectural marvel was constructed in the 6th century CE during the Sasanian Empire. It holds the distinction of being the largest unreinforced brick arch in the world, showcasing the incredible engineering skills of ancient Persian architects.
This architectural marvel symbolizes the bridge between ancient wisdom and modern innovation - just as we bridge traditional knowledge with cutting-edge AI and machine learning technologies today.