'''
const hirthick = {
location: "Dublin, Ireland 🇮🇪",
role: "Data & AI Engineer",
company: "JMAN Group → Trinity College Dublin",
impact: {
revenue: "$180K shipped",
scale: "5TB+ daily processing",
reliability: "99.9% uptime",
performance: "40% faster pipelines"
},
currently: "Building scalable ML systems",
openTo: "Data Engineering, ML Engineering, AI roles"
};
console.log("Production systems that actually scale 🚀");
'''
|
RAG-powered knowledge engine deployed on HuggingFace Spaces Architecture: RAG + Vector Search
LLM: Groq API (Llama)
Vector DB: FAISS
Framework: LangChain
Deploy: Docker + HuggingFace
Status: ✅ Real-time inferenceImpact: Semantic search with source attribution & auto-scaling Interactive analytics platform for Irish property market Pipeline: Property Price Register API
ETL: Python + Azure Data Factory
Analytics: Power BI + DAX
Features:
- Price trend analysis
- Geographic heatmaps
- Market forecasting
- Regional comparisons |
End-to-end ML pipeline on Databricks with production MLOps Architecture: Medallion (Bronze→Silver→Gold)
ML Stack:
- Models: LightGBM, XGBoost, Random Forest
- Features: 50+ engineered
- Tracking: MLflow experiments
- Deploy: Automated retraining
Performance:
- AUC-ROC: 0.89
- Uptime: 99.5%
- Processing: Real-time predictionsExplainable AI framework for model interpretability Purpose: Model governance for regulated industries
Methods:
- SHAP-based analysis
- Per-prediction breakdowns
- Audit trail generation
Supported:
- scikit-learn
- XGBoost / LightGBM
- Custom estimators |
| 💵 Revenue | ⚡ Performance | 🎯 Reliability | 💡 Optimization |
|---|---|---|---|
| $180K increase | 40% faster | 99.9% uptime | 25% cost cut |
| LightGBM scoring | PySpark optimization | Production ML | AI automation |
| 85%+ precision | 5TB+ daily data | Real-time inference | Prompt engineering |
@@ Production Metrics @@
+ Revenue: $180K increase through ML-driven account prioritization
+ Scale: Enterprise platform supporting $260M company exit
+ Performance: 40% faster processing on 5TB+ daily throughput
+ Reliability: 99.9% uptime for production ML infrastructure
+ Cost: 25% reduction via intelligent automation (90%+ accuracy)
+ Promotion: Fast-tracked to Senior Engineer (Top 1% performer)## 💼 Experience Timeline
gantt
title Career Journey
dateFormat YYYY-MM
section Education
B.Tech Computer Science :2020-04, 2024-04
MSc Data Science (Trinity) :2025-09, 2026-09
section Professional
Research Assistant :2023-01, 2023-09
Data Engineering Intern :2024-01, 2024-03
Data & AI Engineer :2024-03, 2025-04
Senior Data & AI Engineer :2025-04, 2025-07
🏆 Senior Data & AI Engineer @ JMAN Group (Apr 2025 - Jul 2025)
UK-Based Commercial Data Partner for Private Equity
- 💰 Built ML system generating $180K revenue increase using LightGBM for intelligent account prioritization
- 🏢 Architected enterprise data platform on Microsoft Fabric supporting $260M company exit
- 🎯 Achieved 85%+ precision with real-time inference deployment on Azure ML
- ⚡ Optimized data pipelines achieving 40% faster processing on 5TB+ daily data
- 🔧 Implemented end-to-end ML workflow with SHAP-based interpretability for stakeholder trust
🤖 Data & AI Engineer @ JMAN Group (Mar 2024 - Apr 2025)
- 💡 Engineered AI automation achieving 25% cost reduction with 90%+ accuracy
- 🚀 Built scalable ML infrastructure on Databricks with MLflow for experiment tracking
- 📈 Developed prompt engineering framework improving accuracy by 15% while reducing API costs by 20%
- 🎯 Maintained 99.9% pipeline reliability for production ML systems
- 🔗 Designed intelligent data platform supporting disaster management emergency response
🔬 Research Assistant @ St Joseph's Institute (Jan 2023 - Sep 2023)
- 📚 Published IEEE conference paper on AI-powered text analysis using transformer models
- 🧠 Implemented extractive and abstractive summarization with BERT and GPT architectures
- 🔧 Developed NLP systems using TensorFlow for text classification and generation
- 📊 Conducted extensive experimentation with neural architectures and evaluation metrics (ROUGE, BLEU)
|
MSc in Data Science Focus Areas:
|
B.Tech Computer Science First Class Honours Specializations:
|
- 🌟 Top 1% Performer - Fast-tracked to Senior Data & AI Engineer
- 📝 IEEE Published Researcher - AI-Powered Text Analysis (2023)
- 🚀 Production Impact - Shipped systems driving $180K revenue
- ✍️ Technical Writer - Publishing ML engineering insights on Medium
Building production ML systems • Data infrastructure at scale • LLM integration projects
Interested in Data Engineering, ML Engineering, and AI roles
⭐ Star my repos if you find them interesting!