Nathan Christopher Menon profile photo 1 on Tal

Nathan Christopher Menon

AI/ML Engineer | Researcher | AMD AI Developer Program

Asansol

1+ year of work experience

GirlScript Summer of Code
May 20261 moPresent

Remote

AURXEL
Mar 20262 mosApr 2026

Bengaluru

* Founded and architected AURXEL as a full-stack fintech product that connects investor goals, risk profiling, asset allocation, instrument selection, and portfolio monitoring into a unified experience. * Designed and built the core portfolio workflow from risk assessment → allocation engine → instrument mapping → portfolio tracking, enabling personalized and explainable investment journeys. * Developed backend systems and APIs for goals, savings, advisory modules, behavioral alerts, portfolio insights, and dashboard experiences using modular, scalable service patterns. * Integrated market-data-aware portfolio workflows to support more realistic holdings, valuation logic, and portfolio performance reflection. * Built AI-powered explanation and coaching capabilities that convert portfolio, goal, and risk-profile outputs into plain-English insights for end users. * Led iterative frontend development to create a premium, investor-facing wealth dashboard experience with backend-driven data reflection instead of mock/demo-only UI. * Continuously debugged and aligned database, service, API, and frontend layers to ensure production-minded consistency across savings, goals, chat, advisory, and behavioral modules. * Positioned the platform for future expansion into richer automated advisory, goal coaching, and intelligent portfolio management workflows.
Evri
Aug 20254 mosNov 2025

Rugby, England, United Kingdom

Marks and Spencer
Nov 20242 mosDec 2024

Milton Keynes

* Delivered a positive customer experience by assisting shoppers with product selection, resolving queries efficiently, and providing friendly, service-focused support in a fast-paced retail setting. * Helped drive store performance by supporting sales through product recommendations, promotional awareness, and strong day-to-day customer engagement. * Maintained high visual and operational standards by restocking shelves, organising displays, and ensuring the shop floor remained clean, well-presented, and customer-ready. * Supported smooth store operations by working collaboratively with team members during busy trading periods and adapting quickly to changing customer and business needs. * Built strong communication and people-facing skills through direct customer interaction, helping balance service quality, efficiency, and commercial awareness.
DataPlay
Jul 20244 mosOct 2024

Jaipur, Rajasthan, India

* Analyzed 500+ applicant responses to identify trends across role interest, internship mode, referral sources, and CTC expectations. ​* Built Power BI dashboards with drill-downs, cutting reporting time to ~10 minutes via self-serve views. ​* Presented insights to stakeholders to support screening and outreach decisions.

Nathan’s AI Stack

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hugging face
langchain
langchain
langgraph
langgraph
ollama
ollama

Education

Aston University

Master of Science - MS, Artificial Intelligence

Aston University

20242 yrs2026
Hindustan University

Bachelor of Technology - BTech, Aerospace, Aeronautical and Astronautical Engineering

Hindustan University

20204 yrs2024

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Headline

AI/ML Engineer | Researcher | AMD AI Developer Program

About

Hey everyone, this is Nathan, I'm an entrepreneur, researcher and an avid builder who spends most of my time understanding gaps and building solutions to bridge those gaps. I am an extremely curious individual, I question literally everything when it comes to understanding systems, like what, why, how etc. I have spent a lot of my time building my knowledge and I finally want to leverage that knowledge to provide meaningful contributions.

Location

Asansol

AI stack

hugging face

langchain

langgraph

ollama

Work experience

Open Source Developer at GirlScript Summer of Code, May 2026 - Present · 1 mo, Remote

Co-Founder & AI Engineer at AURXEL, Mar 2026 - Apr 2026 · 2 mos, Bengaluru, * Founded and architected AURXEL as a full-stack fintech product that connects investor goals, risk profiling, asset allocation, instrument selection, and portfolio monitoring into a unified experience. * Designed and built the core portfolio workflow from risk assessment → allocation engine → instrument mapping → portfolio tracking, enabling personalized and explainable investment journeys. * Developed backend systems and APIs for goals, savings, advisory modules, behavioral alerts, portfolio insights, and dashboard experiences using modular, scalable service patterns. * Integrated market-data-aware portfolio workflows to support more realistic holdings, valuation logic, and portfolio performance reflection. * Built AI-powered explanation and coaching capabilities that convert portfolio, goal, and risk-profile outputs into plain-English insights for end users. * Led iterative frontend development to create a premium, investor-facing wealth dashboard experience with backend-driven data reflection instead of mock/demo-only UI. * Continuously debugged and aligned database, service, API, and frontend layers to ensure production-minded consistency across savings, goals, chat, advisory, and behavioral modules. * Positioned the platform for future expansion into richer automated advisory, goal coaching, and intelligent portfolio management workflows.

Warehouse Operative at Evri, Aug 2025 - Nov 2025 · 4 mos, Rugby, England, United Kingdom

Customer Sales Assistant at Marks and Spencer, Nov 2024 - Dec 2024 · 2 mos, Milton Keynes, * Delivered a positive customer experience by assisting shoppers with product selection, resolving queries efficiently, and providing friendly, service-focused support in a fast-paced retail setting. * Helped drive store performance by supporting sales through product recommendations, promotional awareness, and strong day-to-day customer engagement. * Maintained high visual and operational standards by restocking shelves, organising displays, and ensuring the shop floor remained clean, well-presented, and customer-ready. * Supported smooth store operations by working collaboratively with team members during busy trading periods and adapting quickly to changing customer and business needs. * Built strong communication and people-facing skills through direct customer interaction, helping balance service quality, efficiency, and commercial awareness.

Data Science Intern at DataPlay, Jul 2024 - Oct 2024 · 4 mos, Jaipur, Rajasthan, India, * Analyzed 500+ applicant responses to identify trends across role interest, internship mode, referral sources, and CTC expectations. ​* Built Power BI dashboards with drill-downs, cutting reporting time to ~10 minutes via self-serve views. ​* Presented insights to stakeholders to support screening and outreach decisions.

Education

Master of Science - MS, Artificial Intelligence, Aston University

Bachelor of Technology - BTech, Aerospace, Aeronautical and Astronautical Engineering, Hindustan University

Public links

github: https://github.com/NateChris14