Amlan Nag

Amlan Nag

Hi! I am Amlan Nag, a Machine Learning and Statistics student passionate about robotics, quantitative finance, and research. I love building new, exciting things—let's collaborate!

Current Goals

Currently, I am preparing for my upcoming role as a Quantitative Research Intern at IMC Trading. Alongside this, I am exploring research directions in:
1. The Manifold Hypothesis — understanding the low-dimensional structures underlying high-dimensional data.
2. Neural Network Circuits & Interpretability — dissecting how networks compute and how features emerge.
Please contact me if you are interested in similar topics!!!

2025 May

PwC Data Science and Cyber Intern

Data Science LibsDockerHugging FaceComfyUI

I worked on a firm-wide data science project exploring how employees use internal LLM tools. Using NLP and statistical learning methods, such as Gaussian Mixture Models and hierarchical clustering, I analysed over 200,000 prompts to identify patterns in how people interacted with generative AI. The end result was a “ChatGPT Wrapped”-style dashboard that transformed raw usage data into engaging, interpretable insights for the entire firm. I also spent time with the Cyber team, where I helped run NIST assessments for ASX-listed companies.

startup template

2025 Jan

NCP Scholarship

I was awarded the prestigious New Colombo Scholarship, which provides students with the opportunity to participate in fully funded internships and exchange programs abroad. I am currently studying at HKU specializing in machine learning, mathematical research and quantitative finance!

startup templatestartup template

2024 Nov

Blunge - Machine Learning Engineer

Fly.ioDockerHugging FaceComfyUI

Worked as a Machine Learning Engineer and researcher at Blunge, where I developed image-to-video generation capabilities for their fine-tuned Stable Diffusion models. I also contributed to a variety of other projects, such as background removal, ComfyUI workflows, and backend integration. Additionally, I had the privilege of attending the HKSTP Techathon with Blunge in Hong Kong.

2024 Aug

Fortus - Software Engineer

ReactNode.jsFirebaseAWSJavaScriptAPI Creation

Participated in the Lab Accelerator as a software engineer for Fortus, where I contributed to building the frontend and backend of their gym app.

2024 Sept

180 Degrees Consulting - Technology Consulting Director

ML Fine-TuningData PipelinesWeb ScrapingNLP

Over the course of 1.5 years, I led 5 consulting projects and supervised over 40 individual consultants. I worked on implementing machine learning and other software solutions for industrial clients who ranged from energy companies to not-for-profits.

2024 June

UQ Winter Research

YOLOv8MatplotlibPyTorchDeepSORT

Participated in the UQ Winter Research Program under Dr. Miao Xu. Fine-tuned YOLOv8 for object detection and added additional blocks for object tracking. The goal of this project was to quantify the game state for League of Legends and develop a reinforcement learning model to play the game.

2024 Apr

Placed Top 1% in IMC Prosperity Globally

MatplotlibPyTorchStatistics LibrariesFinancial Backtesting

My team and I placed in the top 1% out of 13,000 students globally in the IMC Annual Trading Challenge. In this challenge, we analyzed market data from a wide range of agents and products to curate profitable trading strategies.

2023 Dec

Exit MyIBTutor

LeadershipAccounting

Decided to exit MyIBTutor to direct more attention toward technology and machine learning. Over the year, my co-founder and I grew the team to over 30 tutors and taught more than 300 concurrent students. We also partnered with several schools across Queensland to deliver workshops on pedagogy and time management.

startup templatestartup template

2023 Jan

Co-founded MyIBTutor

Co-founded MyIBTutor, a tutoring agency specializing in services for International Baccalaureate (IB) students. We delivered lectures at QASMT and grew the team into a small group of dedicated tutors.

startup templatestartup template