Hi, my name is

Pranav Pai

A part-time researcher, full-time AI engineer.

I’m someone who has grown through a global journey across the UAE, Scotland, England, and Australia, shaping a perspective that blends technical depth with cultural awareness. With a background in applied AI and a completed Master’s in Data Science from the University of Melbourne, I’ve built a strong foundation in how intelligent systems are designed, deployed and used in the real world.

I'm motivated by the belief that AI should be purposeful, responsible and grounded in real world impact. I care about building systems that are transparent, reliable and aligned with ethical principles, and I'm energised by work that bridges advanced research with practical applications that empower people and strengthen complex systems.

I aim to grow into a technical leader who contributes to meaningful innovation in AI, with human value and societal impact at the core. I'm committed to continuous learning, thoughtful collaboration and building technology that drives long term, positive change.

01.

Skills & Character

Python SQL R JavaScript (Node.js) Shell/Bash C++ TypeScript Scala
TensorFlow PyTorch HF Transformers LangChain LlamaIndex AutoGen OAI Agents SDK FastAPI Streamlit Keras Flask Gradio n8n
scikit-learn pandas NumPy OpenCV Matplotlib Diffusers (Hugging Face) SentenceTransformers spaCy / NLTK XGBoost MLflow asyncio
Docker Kubernetes Weights & Biases RAG MCP Hugging Face Hub AWS (Bedrock, SageMaker, Lambda, EC2) Runpod Git Jupyter NB Cursor Neo4j

Character

Demonstrates integrity and accountability in every project.
Adapts quickly and explores with curiosity.
Thinks strategically with systems-level awareness.
Shows resilience and self-motivation under pressure.

02.

Education History

MS in Data Science (Specialisation in AI)

University of Melbourne

Melbourne, Australia

Key Subjects:

Natural Language Processing AI Autonomy AI for Robotics Quantum Computing Computational Statistics

BSc in Computer Science

Heriot Watt University

Edinburgh, Scotland

Key Subjects:

Algorithms Data Structures Machine Learning Research Data Mining Advanced Mathematics Database Systems

Extra Credits in Econometrics and Machine Learning

London School of Economics and Political Science (LSE)

London, England

Key Subjects:

Time Series Analysis Causal Inference Statistical Learning Theory Applied Econometrics

03.

Professional History

Generative AI Research
LLMs Multi-Agent AI FAIR Data Foundation Models RAG

Generative AI Researcher

AURIN

2024 - 2025

Worked as a hands-on researcher developing and deploying generative AI workflows for the FAIR evaluation of urban datasets. Focused on designing state-of-the-art transformer pipelines, ensuring outputs met principles of findability, accessibility, interoperability, and reusability (FAIR).

AI Engineering
PyTorch Neo4j LoRA Fine-tuning Diffusion Models Prompt Engineering

Senior Machine Learning Engineer

DOOR Global

2024 - 2025

Developed and deployed advanced ML systems powering the DOORWAYS AI Comic Generator, fine-tuning state-of-the-art LLMs and Diffusion models for generative storytelling.

Data Analysis
R Statistical ML Data Analysis Predictive Modelling ShinyR

Data Analyst

University of Melbourne

2024

Built predictive models and performed strategic data analysis to enhance funding efficiency and optimize financial resource allocation.

Software Engineering
Python CI/CD Automation Ansible & Jenkins API Security Automated Testing

Software Engineer

Vitality UK

2022-2023

Delivered secure, reliable, and highly automated software solutions, emphasizing data infrastructure automation, security protocols, and robust software testing methodologies to support scalable AI/ML systems.

Project Leadership
Cross-functional Leadership Strategic Planning Stakeholder Management Research Translation Agile Delivery

Project Lead

AURIN

2024 - 2025

Led the project's technical direction and coordination, managing cross-functional efforts between AI researchers, data scientists, and stakeholders. Focused on translating research goals into technical requirements, prioritising execution, and ensuring the project delivered measurable impact.

AI Engineering
Team Leadership Cloud Architecture CI/CD Technical Hiring Product Strategy

Technology Lead

DOOR Global

2024 - 2025

Led multidisciplinary AI engineering and research teams, defining strategic direction, hiring key talent, and guiding product decisions for generative AI products.

04.

Research & Projects

Deep Learning X-ray Object Detection

Detecting Prohibited Items in X-ray Images Using Deep Learning

IEEE View on GitHub

Investigated advanced deep learning models (Faster R-CNN, Spatial Transformer Networks, and RFBNet) for detecting occluded prohibited items in security X-ray imagery, demonstrating significant improvements in detection accuracy and robustness through tailored augmentation and rigorous validation strategies.

Deep Learning Research PyTorch Object Detection Occlusion Analysis Model Validation
Climate Misinformation Detection

Modular Climate Misinformation Detection with Hybrid Retriever and LLMs

View on GitHub

Researched a scalable, memory-efficient framework for climate claim verification using hybrid retrieval (BM25, MiniLM, Flan-T5) and dual-branch classification (RoBERTa and Flan-T5). Proposed an in-context reranker to improve retrieval and demonstrated efficient LLM deployment strategies under constrained environments.

Retrieval-Augmented Generation Few-shot Prompting Efficient LLM Fine-tuning Climate Informatics RoBERTa/Flan-T5 Models
SVM Interactive Visualization

Interactive Visualisation and Interpretability of SVMs

View on GitHub

Conducted research on enhancing interpretability of Support Vector Machines (SVMs) through an interactive web-based visualisation framework. The study investigated kernel functions, hyperparameter sensitivity, and robustness under data noise, providing novel insights into model explainability and educational applications for ML practitioners.

Interpretability Research scikit-learn Dash (Plotly) Hyperparameter Analysis Interactive ML
Sidekick AI Agent

Sidekick: Autonomous Multi-Tool AI Agent with LangGraph

Engineered an AI agent using LangGraph to autonomously perform complex tasks such as browser automation, file manipulation, and Python code execution. Integrated Playwright, async workflows, and Dockerized infrastructure with robust error handling and persistent memory for production-grade reliability.

LangGraph Playwright AsyncIO (Python) Secure User Session Management SQLite with Bcrypt Authentication
Autonomous Research Agent

Autonomous Research Agent with OpenAI Agents SDK

Built multi-agent research system with OpenAI Agents SDK for contextual query planning and automated report synthesis. Delivered Gradio interface with real-time feedback for autonomous research workflows.

Multi-Agent Orchestration OpenAI Agents SDK Async Programming Gradio UI Design Automated Report Generation
Code Generation Agent

Full-Stack Code Generation Agent using CrewAI Architecture

Developed CrewAI-powered engineering agent system converting natural language to production-ready applications with complete documentation and test coverage. Leveraged AST parsing and agent collaboration for automated code generation with deployment support.

CrewAI Framework AST Parsing Agent Role Coordination Self-Correcting Logic Codebase Automation
TreeInsights Analytics Platform

TreeInsights: Scalable Urban Forestry Analytics Platform

Built a real-time analytics system to explore correlations between urban tree coverage and environmental variables using government datasets. Deployed a serverless architecture with Fission, Kubernetes, and Elasticsearch for scalable data ingestion, analysis, and interactive visualisation.

Fission Kubernetes Elasticsearch Streamlit RESTful API Integration

05.

Recommendations

Masoud Rahimi

Masoud Rahimi

Lead Data Scientist

AURIN

Direct Manager
"Pranav would be an excellent addition to any team working in data science and AI. Through AURIN's Urban Data Futures program, he showed not just strong technical skills in generative AI, but also a calm, collaborative way of working. He framed problems clearly, tested his ideas rigorously, and explained trade-offs in plain language. He turned literature into practical, reproducible data-validation workflows, took feedback on board, and helped others do their best work. I'm confident he'll make a real, immediate contribution wherever he goes."
Hao Chen

Hao Chen

Senior Data Scientist

AURIN

Manager & Supervisor
"It was a great experience supervising Pranav during his data science master project. He demonstrated strong technical skills, a solid understanding of research methods, and a proactive approach to problem-solving, using both traditional and LLM-based techniques. Wishing him all the best in his future data science and AI journey."
Ming Chen

Ming Chen

Doctoral Researcher in Computer Systems

The University of Melbourne

Supervisor
"I had the pleasure of supervising Pranav Pai during his research project at the University of Melbourne, where he demonstrated remarkable depth in AI, machine learning, and large-language-model research. Pranav combined theoretical insight with strong experimental design and implementation skills, producing work of genuine academic quality. Pranav showed initiative in defining research directions, analytical rigour in evaluation, and clear communication in both written and oral presentations. His leadership and collaborative mindset greatly enhanced the team's productivity and research focus. I highly recommend Pranav for future opportunities in AI/ML research or graduate study — he has the intellectual curiosity, technical strength, and independence expected of a promising researcher."
Mark Diaco

Mark Diaco

Founder

DOOR Global

Direct Manager
"Pranav Pai is an ambitious and driven professional who made significant contributions during his time at DOOR Global. His technical skills and work ethic were evident in the projects he engaged with, and he consistently sought to achieve high standards. At DOOR we appreciate Pai's contributions and wish him the best in his future pursuits."
Aston

Aston

PhD in NLP

The University of Melbourne

Colleague
"I had the pleasure of working with Pranav Pai on projects at DOOR Global. He has a deep understanding of LLM-driven pipelines, especially in using large language models as agents, and is equally strong in deployment and integration. Beyond his technical knowledge, Pranav is also excellent at communicating across engineering teams, ensuring that complex ideas are translated into actionable solutions. His combination of technical expertise and collaborative spirit makes him a highly valuable teammate."
Saad Sheikh

Saad Sheikh

Practice Leader – Cloud, Data, AI & Automation

Ex-Dell Technologies

Colleague
"I worked closely with Pranav on a number of projects in Data and AI , i found him a highly skilled professional in Machine Learning and Deep Learning, with a talent for translating complex user stories into fully functional, scalable software solutions. His expertise in designing robust system architectures and his collaborative spirit make him an exceptional team player who consistently contributes to group success. His strong work ethic, dedication to quality, and excellent communication skills set him apart, making him an asset to any role requiring technical or business acumen. I highly recommend him for any role in this innovative space and will like to work with him again ."
Simon Bradley

Simon Bradley

Service Architect

Vitality UK

Senior
"I've had the pleasure of working closely with Pranav for the last year or so. He was very quick to understand our API architecture and CI/CD pipeline, and very soon became a valued member of our sprint team at Vitality. He delivered a wide variety of services that were consumed by internal and external customer and business clients, all within estimated timescales and of great quality."
Rosmery Lentini

Rosmery Lentini

Tech Delivery Manager

Vitality UK

Senior
"Reliable, kind and hard worker. It's has been an absolute pleasure working with Pranav for a year, he's been always very helpful, supporting any critical business needs and arising priorities, delivering expected quality requirements and in a timely manner. Always kind, respectful for others and ready to help colleagues during busy and stressful times. I am glad to have worked with him and have no hesitation recommending him to potential employers."
Dilara Özel

Dilara Özel

Researcher Counsellor Ph.D., SEP

University of Glasgow

Mentor
"Pranav attended my Data Analysis course for four weeks and he has been one of the hardworking students in my class. He is a responsible and productive student. He is seeking different opportunities to learn and I think the Data Analysis course is an example of it. It was a pleasure to meet him. I believe that he can have the maximum benefit and contribution if you have an opportunity to work together."

06.

Additional Information

Core Soft Skills

Leadership & Team Empowerment
Strategic Thinking & Vision Alignment
Communication & Technical Storytelling
Adaptability & Learning Agility
Cross-functional Collaboration
Problem Solving & Critical Thinking
Emotional Intelligence
Time Management & Prioritisation
🚀

Open Source Projects

Active contributor to AI/ML open source projects including TensorFlow and PyTorch libraries.

📄

Research & Publications

Conduct research and work towards publishing findings in academic journals and IEEE conferences on AI and machine learning.

🎪

Tech Events & Networking

Active attendee at tech conferences and meetups across Australia, networking and staying connected with the tech community.

👥

Mentorship

Actively mentor junior developers and students through coding bootcamps and online platforms.

📚

Continuous Learning

Stay current with AI research papers, experiment with open source repositories, and read books on ML system design.

🏔️

Outdoor Activities

Regular hiking enthusiast exploring Australia's trails and maintaining fitness through consistent gym training.