nash raj about me profile picture

Hi there and here’s a bit about me!

I’m Nash Raj, a Python engineer, quantitative analyst, and tech tinkerer. My journey spans across Machine Learning, Quantitative Finance and building robust solutions—whether it’s architecting trading systems, automating workflows or simply exploring the latest in tinkering tech.

By day, I dive deep into the world of coding and financial systems by helping to solve complex statistical and optimization problems. By night (and weekends!), I experiment with tech and tinkering projects, from designing nifty automation scripts to building indispensable gadgets with Raspberry Pi’s. (like this website which is running on a Pi too!)

What I Do

I specialize in blending technology with innovation, working at the intersection of finance and AI. Here are a few highlights from my journey so far:

  • Built an autonomous trading engine that integrates AI-driven sentiment analysis, strategy management, and risk management.
  • Developed AI models to classify market data, blending cutting-edge NLP techniques like GPT-4 and Doc2Vec with innovative clustering methods.
  • Automated workflows and processes during my time at DBS Bank, saving time and making things a whole lot easier for teams.
  • Played around with all sorts of tech tools—from Python and TensorFlow to Docker, MongoDB, and Raspberry Pi.

When I’m not working on professional projects, I enjoy taking on hobbyist challenges like setting up my own NAS system, optimizing gadgets, or just catching-up over the latest tech trends.

A Bit More About Me

I’m passionate about learning, teaching, and sharing knowledge. Over the years, I’ve taught Python and robotics to students, volunteered in community projects, and even helped design Singapore’s first manned space balloon system (fun fact: I handled the radio systems during the launch sequence 🚀).

Outside of the work bubble, you might find me:

  • Volunteering with local community projects for the underprivileged 🏥
  • Exploring places with a glass eye 📷
  • Dabbling with new DIY projects 🔧
  • Exploring ways to make tech more accessible and fun for everyone on my blog🎓

Why I Built This Website

This website is my little corner of the internet to share what I’ve been working on, connect with like-minded folks, and maybe even inspire someone to start their own journey in tech. Whether it’s a snippet of code, a write-up on a project, or just some random musings, you’ll find it all here.

Let’s Connect

If you’ve made it this far, thanks for stopping by! Feel free to explore, and if you’d like to chat about tech, finance, or life, you can find me on LinkedIn or GitHub.

Experience

Research Assistant, National University of Singapore (NUS) | 2021-Present
  • Designed and deployed an autonomous trading engine integrating AI sentiment analysis, strategy management, and risk management.
  • Implemented AI-driven models for market data classification, combining GPT-4 and Doc2Vec with PCA and UMAP clustering.
  • Developed real-time dashboards for NASDAQ 100 pre-market analysis, streamlining financial data insights.
Associate Software Developer, DBS Bank, Singapore | 2020-2021
  • Built and migrated the Global Internal User Account Management System, enhancing operational efficiency.
  • Automated CSV data processing with Python, reducing manual workload by 40%.
  • Designed and delivered scalable systems through full-stack development.
Python/Robotics Instructor, Ministry of Education (MOE), Singapore | 2014-2020
  • Taught Python and robotics to students and faculty, fostering interest in STEM education.
  • Developed curricula for coding and robotics programs in schools and universities

Notable Projects

  • Autonomous Trading Engine: Created a microservice-based engine with modules for data scraping, AI sentiment analysis, and real-time order execution.
  • Market Data Classifier: Built AI models to classify financial reports into GICS-equivalent sectors using cutting-edge NLP and clustering techniques.
  • Space Balloon Launch: Contributed to Singapore’s first manned space balloon launch, handling radio frequency systems during the mission.

Technical Skills

Programming and Frameworks
  • Python (TensorFlow, Scikit-learn, Flask, Pandas)
  • AI/ML Tools: GPT-4, Doc2Vec, UMAP, PCA, KMeans
  • Web Development: NodeJS, VueJS, HTML5, CSS3, REST APIs
Databases and Platforms
  • MongoDB, MySQL, PostgreSQL
  • Docker, Kubernetes, Git/GitHub, Agile/Scrum Framework
Additional Tools
  • Adobe Creative Suite (Photoshop, Premiere Pro)
  • Networking and Systems: Windows, Ubuntu, Raspberry Pi

Education

MSc in Financial Engineering, National University of Singapore (NUS) | 2024
  • AI/ML Specialization
  • GPA 4.20
BEng in Mechanical Engineering (Hons), Nanyang Technological University, Singapore (NTU) | 2015
  • Minor in Entrepreneurship
  • Professional Certification in Business Finance
  • GPA 3.6
IT Automation with Python Specialization Professional Certificate, Google Digital Academy Certification & Training | 2021
  • Credential ID: QWW6YNBVXNQ9