MS Data Analytics Engineering student @ Northeastern University (April 2026) specializing in ML/AI systems and production data pipelines. Building intelligent, scalable systems that solve real problems. Currently serving 1000+ users in production with deployed ML applications.
My projects form an interconnected ML ecosystem, not isolated demos:
This diagram illustrates how my 15+ projects connect: from data foundation (UCI HAR 10k+ samples, Federal Economic Data) through AI-powered strategic pillars (MotionInsight, Game Theory, Career Intelligence) to production-deployed applications (Streamlit dashboards serving real users), all orchestrated by cost-effective local LLM infrastructure.
- Data Foundation: UCI HAR Dataset (10k+ samples), Federal Economic Data, Portfolio & Resume Data
- Strategic AI Pillars: MotionInsight (Entropy-Complexity), Game Theory (Nash Equilibrium), Career Intelligence (Archetype Matching)
- Deployed Applications: Production Streamlit/React dashboards serving 1000+ users
- Infrastructure: Ollama/Local LLMs (Llama 3, Mistral) reducing API costs by 90%
- Cross-Project Synergy: Agent orchestration enabling reusable ML components
Real systems serving real users:
| System | Users | Uptime | Impact |
|---|---|---|---|
| 🏥 Boston Heatwave Monitor | 1000+ | 99.9% | Public health early warning system |
| ⚡ Crypto ML Pipeline | In Dev | - | 85% prediction accuracy on live data |
| 🎯 Career Intelligence | Active | - | 70% workflow automation, 45% response rate boost |
🚀 View Live Dashboard ← Production ML system with 1000+ active users
- 🎓 MS Data Analytics Engineering @ Northeastern (GPA: 4.0)
- 🤖 Specializing in ML/AI, Semantic Matching, Production Pipelines
- 🔍 Seeking Data Engineering Internships for January 2026
- 💡 Building autonomous AI career assistant (ARIA)
Available immediately for ML/AI Engineering internships and full-time positions
- 📍 Open to relocation | Remote-friendly
- 💼 Authorized to work in the US
- 📅 Can start: Immediately
AI Data Trainer (Bilingual) @ Alignerr (by Labelbox) (2023 - Present)
- Working with generative AI and large language models for data labeling and model evaluation
- Technology Focus: Specialized in LLM evaluation for factual accuracy and ethical integrity
- Platforms: Generative AI alignment tools and human-in-the-loop ML systems
Regional Manager, Channel & Enterprise Sales (LATAM) @ Collibra (2018 - 2021)
- Led data intelligence solution sales across LATAM region
- Technology Focus: Enterprise-wide data governance, data catalog, and data intelligence
- Platform Expertise: Data lineage, metadata management, and AI governance frameworks
Regional Sales Manager, Data Protection & Disaster Recovery @ Zerto (2015 - 2019)
- Consistently exceeded quotas (up to 257%), earning Global Sales of the Year honors
- Technology Focus: IT resilience platforms for cloud data protection and disaster recovery
- Platform Expertise: Enterprise-grade continuous data protection and cloud mobility
Business Development Executive, Cloud, Middleware & Database @ Oracle Corp (Earlier Career)
- Exceeded quarterly targets by 135%, earning Top Gun and Fast Start awards
- Technology Focus: Database management systems, cloud infrastructure, and middleware
- Platform Expertise: Oracle Cloud Infrastructure, Database Management Systems, Middleware Solutions
| Project | Impact | Tech Stack | Links |
|---|---|---|---|
| Human Activity Monitoring | 🔥 1000+ Active Users | Python, Streamlit, Ensemble ML | Live Demo · Code |
| Crypto ML Pipeline | ⚡ 85% Prediction Accuracy | TensorFlow, Airflow, PostgreSQL | Live Demo · Code |
| Democracy Clustering | 📊 195 Countries · 7 Clusters | R, K-means, 0.89 Silhouette | Code |
| Network Intelligence | 🕸️ 0.73 Correlation Discovery | NetworkX, NLP, Graph Analysis | Code |
Northeastern University
M.S. Data Analytics Engineering | Boston, MA | Expected 2026
- 4.0 GPA
- Focus: Machine Learning & Artificial Intelligence
Bridgewater State University
B.S. Economics | Boston, MA
University of Limerick
Study Abroad: European Union Economics & Monetary Policy Analysis | Ireland
- AWS Cloud Practitioner Certified
- Google Data Analytics Professional
- Generative AI Specialization Learning Path
- Models Built: Neural Networks, Random Forests, XGBoost, LSTM, BERT
- Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
- MLOps: Model deployment, A/B testing, monitoring
- Current Focus: LLMs, Generative AI, Production ML Systems
- Data-driven decision making
- Complex problem solving
- Strategic planning & execution
- Cross-functional collaboration
- Technical concept explanation
- AI governance & ethics
- Bilingual communication (English, Spanish)
💡 Open to collaboration on ML/AI projects and internship opportunities!
Last updated: December 2024