Singapore, SG
Veer Dosi profile picture

I'm Veer Dosi

Exchange @ UF

Polymath | CS/Biz '27 @ NTU

Trying to maximize my potential.

Work Experience

Golden Gate Ventures

Data Science Intern

Venture + Data

  • Designed and implemented agentic AI workflows using LLMs to automate key venture capital operations, improving decision-making speed and consistency
  • Developed data pipelines for deal sourcing and portfolio analysis using Python and SQL
  • Supported VC activities including market research, startup screening, and due diligence through data-driven insights

Impress AI

Software Engineering Intern

Full-stack development on AI-powered recruitment platform, executing complete SDLC from design to deployment

  • Integrated new software components into the impress.ai platform with comprehensive documentation
  • Troubleshooted and debugged existing systems while implementing performance optimizations

URECA @ NTU

Research Assistant

Undergraduate research on Explainable AI for Large Language Models under Prof Shen Zhiqi

  • Evaluated 3+ explanation methods (SHAP, LIME, attention visualization) for LLM interpretability
  • Developed interactive frontend dashboard for real-world user testing of explanation interfaces
  • Contributing to research paper on bridging AI interpretability and usability for non-technical users

National Healthcare Group

Machine Learning Intern

Built CNN-based classification system for diabetic foot thermal imaging diagnostic workflows

  • Preprocessed 100+ thermal images with normalization and contrast enhancement techniques
  • Developed custom CNN architecture achieving high precision/recall for medical screening automation

Equations Money

Wealth Management Intern

Financial advisory and portfolio management at mutual fund distribution firm

  • Analyzed client financial goals to recommend tailored mutual fund portfolios using Ngen and Excel
  • Created 5+ client presentations on portfolio diversification strategies and market trends

SPIRIT LAB @ NTU

Research Assistant

IoT device identification research using network traffic analysis and machine learning

  • Improved device identification accuracy by 15% using hybrid rule-based and ML approaches
  • Processed packet captures (PCAPs) to extract features like MAC patterns and protocol distributions
  • Developed meta-classifier combining multiple identification methods for robust real-time analysis

INSPIRE Lab @ NTU

XR Developer

VR training simulation for field hockey goalkeepers using Unity and Meta Quest 3

  • Built immersive gameplay with randomized ball trajectories and full-body avatar tracking
  • Optimized performance for 90+ FPS rendering with multiple difficulty modes and feedback systems

Yash Technologies

Software Engineering Intern

Client project development and technology innovation collaboration

  • Enhanced 2+ client project outcomes through strategic planning and technical implementation
  • Contributed to high-stakes decision-making processes under departmental leadership guidance

Personal Projects

Adapti - Pilot

Adapti - Pilot

AI-powered adaptive learning platform with personalized curriculum generation

Clinical Engine

Clinical Engine

AI medical diagnosis simulator with virtual patients and physical exam modules

Mirage

Mirage

Multi-layered image verification platform using AI forensics and metadata analysis

The Handbook for the Enterprising Teen

The Handbook for the Enterprising Teen

Published author - Comprehensive entrepreneurship guide for young leaders

The Veer Dosi Show

The Veer Dosi Show

Podcast featuring interviews on entrepreneurship and personal development