MS Data Analytics Engineering student @ Northeastern University (August 2026) specializing in ML/AI systems and production data pipelines. Building intelligent, scalable systems that solve real problems.
My projects form an interconnected ML ecosystem powered by a unified Memory Brain:
flowchart TB
subgraph Infra["Infrastructure"]
Ollama["Ollama"]
AgentCmd["Agent Commander"]
Ollama -.-> AgentCmd
end
subgraph Agents["Autonomous Agents (21)"]
direction LR
AutoAgents["Automation<br/>Agents"]
JobSwarm["Job Hunting<br/>Swarm"]
MLToolkit["ML/AI<br/>Toolkit"]
LinkedInAgent["LinkedIn<br/>Analyzer"]
end
subgraph MCPLayer["MCP Integration"]
direction LR
MemoryMCP["Memory Brain<br/>MCP"]
MySQLMCP["MySQL MCP<br/>(Career)"]
MongoMCP["MongoDB<br/>MCP"]
FileMCP["Filesystem<br/>MCP"]
end
subgraph Brain["Memory Brain"]
SQLite[("SQLite<br/>848+ Records<br/>Agent Coordination")]
end
subgraph Data["Data Sources"]
direction LR
UCI[("UCI HAR<br/>10k+ Samples")]
Federal[("Federal<br/>Economic")]
MySQLDB[("MySQL<br/>Career DB")]
MongoDB[("MongoDB<br/>Extended")]
Portfolio[("Portfolio &<br/>Resume")]
end
subgraph Projects["Strategic Innovation Pillars"]
direction LR
Motion["MotionInsight"]
Game["Game Theory"]
Career["Career Intel"]
end
subgraph Apps["Deployed Applications"]
direction LR
MotionApp["MotionInsight"]
ForecastApp["ForecastPro"]
JobHub["Job Hunting"]
end
AgentCmd --> Agents
AgentCmd --> MCPLayer
AutoAgents --> SQLite
JobSwarm --> SQLite
MLToolkit --> SQLite
LinkedInAgent --> SQLite
MemoryMCP --> SQLite
MySQLMCP --> MySQLDB
MongoMCP --> MongoDB
FileMCP --> Portfolio
SQLite --> Motion
SQLite --> Career
UCI --> Motion
Federal --> Game
MySQLDB --> Career
MongoDB --> Career
Portfolio --> Career
Motion --> MotionApp
Game --> ForecastApp
Career --> JobHub
classDef infra fill:#424242,stroke:#212121,color:#fff
classDef mcp fill:#7b1fa2,stroke:#6a1b9a,color:#fff
classDef brain fill:#e91e63,stroke:#c2185b,color:#fff
classDef agents fill:#ff6f00,stroke:#e65100,color:#fff
classDef data fill:#0277bd,stroke:#01579b,color:#fff
classDef projects fill:#7b1fa2,stroke:#6a1b9a,color:#fff
classDef apps fill:#00695c,stroke:#004d40,color:#fff
class Ollama,AgentCmd infra
class MemoryMCP,MySQLMCP,MongoMCP,FileMCP mcp
class SQLite brain
class AutoAgents,JobSwarm,MLToolkit,LinkedInAgent agents
class UCI,Federal,MySQLDB,MongoDB,Portfolio data
class Motion,Game,Career projects
class MotionApp,ForecastApp,JobHub apps
| Layer | Components | Purpose |
|---|---|---|
| 🧠 Memory Brain | SQLite (848+ records) | Central coordination hub for all agents |
| 🔌 MCP Integration | 4 MCP servers | Claude access to MySQL, MongoDB, SQLite, Filesystem |
| 🤖 Autonomous Agents | 21 specialized agents | Job hunting, ML/AI toolkit, automation, LinkedIn |
| 🗄️ Data Foundation | 5 databases | UCI HAR, Federal Economic, Career DB, Portfolio |
| 🚀 Strategic Pillars | 3 flagship projects | MotionInsight, Game Theory, Career Intelligence |
| System | Key Metric | Tech Stack | Status |
|---|---|---|---|
| ✨ Career Intelligence System | 92.3% semantic match | MySQL, MongoDB, Sentence Transformers | Active |
| 🧠 Memory Brain | 848+ records, 21 agents | SQLite, MCP Protocol, Ollama | Active |
| 📊 LinkedIn Brand Analyzer | NLP + Network Analysis | SpaCy, NetworkX, PyVis | Active |
| 🤖 ARIA | Autonomous Career Assistant | Python, Email Automation, Job APIs | In Development |
92.3% semantic matching accuracy | MySQL + MongoDB + AI-powered resume generation
An intelligent career management platform that matches job opportunities to candidate profiles using advanced NLP and semantic similarity. Features automated resume tailoring, cover letter generation, and application tracking.
Tech: Python, MySQL, MongoDB, Sentence Transformers, Streamlit, MCP Integration
848+ records | 21 autonomous agents | Central orchestration layer
A unified coordination system that connects all my AI agents through a shared SQLite database. Implements Model Context Protocol (MCP) servers for seamless Claude integration across MySQL, MongoDB, and filesystem resources.
Tech: Python, SQLite, MCP Protocol, Ollama, Local LLMs
NLP-powered brand sentiment & network analysis
Analyzes LinkedIn engagement patterns using NLP (SpaCy, VADER) for sentiment analysis and NetworkX for graph-based network clustering. Identifies which content topics drive high-value engagement from recruiters and industry connections.
Tech: Python, SpaCy, NetworkX, PyVis, BERTopic, Streamlit
AI-powered job search automation
An autonomous career assistant that monitors job boards, matches opportunities to my profile, and sends personalized notifications. Integrates with Memory Brain for coordinated job search across multiple platforms.
Tech: Python, Email Automation, Job APIs, Memory Brain Integration
| Project | Impact | Tech Stack | Links |
|---|---|---|---|
| MotionInsight | Entropy-Complexity Analysis | Python, Signal Processing, Streamlit | Code |
| Democracy Clustering | 195 Countries · 0.89 Silhouette | R, K-means, PCA | Code |
| Crypto ML Pipeline | 85% Prediction Accuracy | TensorFlow, Airflow, PostgreSQL | Code |
| Network Intelligence | 0.73 Correlation Discovery | NetworkX, NLP, Graph Analysis | Code |
- 🎓 MS Data Analytics Engineering @ Northeastern (GPA: 4.0, Expected August 2026)
- 🤖 Building autonomous AI agents with Memory Brain coordination
- 🔌 Implementing MCP servers for AI-database integration
- 🎯 Career Intelligence System achieving 92.3% semantic matching
- 📝 Graduate Student Ambassador, College of Engineering
Available for ML/AI Engineering roles
- 📍 Open to relocation | Remote-friendly
- 💼 Authorized to work in the US
- 📅 Can start: Immediately
AI Data Trainer (Bilingual) @ Alignerr (2023 - Present)
- Evaluating LLM responses for factual accuracy, bias detection, and ethical integrity
- Working with 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 generating $2.4M+ revenue
- Enterprise data governance, catalog, and AI governance frameworks
Regional Sales Manager @ Zerto (2015 - 2019)
- Exceeded quotas up to 257%, Global Sales of the Year
- Cloud data protection and disaster recovery platforms
Business Development Executive @ Oracle Corp (Earlier Career)
- Exceeded targets by 135%, Top Gun and Fast Start awards
- Database management, cloud infrastructure, middleware solutions
Northeastern University | M.S. Data Analytics Engineering | Boston, MA | Expected August 2026
- 4.0 GPA | Graduate Student Ambassador, College of Engineering
- Focus: Machine Learning, AI Systems, Production Pipelines
Bridgewater State University | B.S. Economics | Boston, MA
University of Limerick | Study Abroad | Ireland
- European Union Economics & Monetary Policy Analysis
- AWS Cloud Practitioner Certified
- Google Data Analytics Professional
- Generative AI Specialization Learning Path
💡 Open to collaboration on ML/AI projects and full-time opportunities!
Last updated: January 2026