Summary
Overview
Work History
Education
Skills
Languages
Timeline
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Shubham Gandhi

Dublin

Summary

AI/ML Engineer with hands-on experience in building end-to-end AI pipelines – from cryptocurrency prediction systems with 82% accuracy using multi-source sentiment and market data to architecting the whole AI backbone of BuildIt.live on GCP/Vertex AI, converting plain language prompts to fully deployed websites. Published researcher in Topological data analysis. Pursuing MSc. in Advanced Artificial Intelligence at UCD.

Overview

2
2
Languages
1
1
year of professional experience

Work History

AI/ML Engineer

Codestrokes Solutions Pvt. Ltd.
2025.12 - 2026.08
  • Developed end-to-end AI/ML pipelines, building custom functions and models tailored to various client requirements.
  • Key Project — Crypto Prediction & Analytics Dashboard:Integrated Binance API for real-time and historical market data.
    Designed a multi-source predictive algorithm combining historical prices, news sentiment, and Twitter/social media data to capture crypto market volatility.
    Applied NLP-based sentiment analysis to convert news/social signals into predictive features.
    Achieved 82% prediction accuracy through rigorous backtesting.
    Built an interactive dashboard for real-time visualisation of predictions and market trends.
  • Managed the full ML lifecycle — data collection, feature engineering, model training, deployment, and performance monitoring.

AI/ML Engineer

Datavtar AI Pvt. Ltd.
2025.07 - 2025.11
  • Built the entire AI pipeline for BuildIt.live, a platform that converts simple natural-language prompts from non-technical users into fully functioning websites — including frontend, backend, deployment, and a built-in AI support chatbot.
  • Designed prompt-to-code generation workflows, enabling users with zero technical background to describe use cases and receive production-ready, deployed web applications end-to-end.
  • Architected and deployed the entire system on Google Cloud Platform (GCP), leveraging Vertex AI, Vertex AI Playground, Antigravity, and other GCP-native AI/ML tools.
  • Collaborated across teams to align AI capabilities with product goals, turning a no-code user experience into robust automated infrastructure.

Education

Master of Science - Advanced Artificial Intelligence

University College Dublin
Dublin
2027-01

Bachelor of Science - Computer Science

Narsee Monjee Insitute of Management and Science
Mumbai
2025-01

Skills

  • Machine learning
  • Deep learning techniques
  • Natural language processing
  • Python development
  • Computer vision
  • Cloud computing
  • Data visualisation
  • Systems Analysis
  • Team collaboration
  • Client collaboration

Languages

English
Proficient
C2
Hindi
Proficient
C2

Timeline

AI/ML Engineer

Codestrokes Solutions Pvt. Ltd.
2025.12 - 2026.08

AI/ML Engineer

Datavtar AI Pvt. Ltd.
2025.07 - 2025.11

Master of Science - Advanced Artificial Intelligence

University College Dublin

Bachelor of Science - Computer Science

Narsee Monjee Insitute of Management and Science
Shubham Gandhi