About Me
I am a Data Scientist and AI Engineer bridging the gap between quantitative economics and scalable machine learning. Growing up surrounded by a family home library of nearly 10,000 books instilled a deep appreciation for rigorous research, diverse narratives, and finding the underlying patterns in complex information.
Today, I focus on architecting production-ready AI microservices, leveraging my foundation in game theory and econometrics to solve structural organizational bottlenecks.
The Global Journey
My academic and professional trajectory has been defined by international mobility, adapting to new markets, and cross-cultural execution. Hover over the markers below to explore the timeline.
Technical Arsenal
{
"Languages": ["Python", "SQL", "R"],
"AI_and_ML": ["PyTorch", "LangChain", "scikit-learn", "Deep Learning", "NLP", "RAG Architecture"],
"Data_and_Infra": ["Pandas", "NumPy", "ChromaDB", "Docker", "Git", "Azure"],
"Automation_and_Tools": ["n8n", "OpenAI API", "Ollama", "Power BI", "Power Automate", "Copilot Studio"]
}
suveer@macbook-pro:~$ _
Beyond the Code
I take a highly structured approach to life outside of work. Physical fitness is a core pillar; I treat the gym with the same focus as a deployment pipeline, consistently chasing progressive overload. My mornings invariably start by hunting down the perfect iced long black or cold brew, and I actively track global markets and ETF compositions (like VGS and VDHG) to optimize personal finance strategies.
When I am not fine-tuning models, you will likely find me agonizing over Tottenham Hotspur, or following Luka Dončić’s magic across the Mavericks and now the Lakers. My weekly routine is soundtracked by a specific rotation of podcasts: staying sharp on the shifting AI landscape with Hard Fork and keeping up with the NBA via the Hoop Collective.
I also enjoy exploring the creative intersections of technology, which recently meant building a custom interactive “choose your own adventure” website for a Valentine’s project. Finally, music is my constant runtime environment. My Spotify algorithm is a chaotic but perfect split between an absolute obsession with Lin-Manuel Miranda’s Hamilton and the songwriting of Taylor Swift and Gracie Abrams. Ultimately, whether I am deploying local vector databases, managing index funds, or writing code, my drive remains the same: building systems that are functional, scalable, and structurally elegant.