π« Data Science Student @ Northeastern University (Class of 2027)
π Looking for 2027 new grad roles in software engineering and ML
πΈ Guitarist
βΉοΈββοΈ NBA fan
Software Engineer @ MORSE Corp (Jan 2026 - Aug 2026)
- Engineered a concurrent editing system over WebSockets with an ID-tracked pending/retry/dead-letter queue state machine
- Independently drove a platform-wide backend architecture refactor, standardizing 5 core domains onto a unified repository pattern
- Built a repeatable benchmarking framework that surfaced query hotspots consuming 70% of execution time
Data Analyst @ Generate Product Development Studio - Unsprawl (Sep 2025 - Dec 2025)
- Architected a hybrid AI deduplication system processing 100+ daily workflow tasks across 4+ project management platforms
- Combined sentence transformer embeddings and cosine similarity with an agentic AI layer (Google GenAI) for contextual verification
- Developed Python backend ML infrastructure with PostgreSQL vector embeddings and dynamic similarity thresholds
- Led ML model evaluation and selection as technical lead within a 6-developer team
Software Engineer @ Verizon x NExT (Jan 2025 - July 2025)
- Architected an end-to-end data pipeline processing 45k data rows monthly from 5 external sources, enabling $150M+ revenue protection
- Optimized database performance from 5000ms queries to 300ms across 450GB+ of data
- Architected fault-tolerant infrastructure across multiple AWS availability zones using Terraform
- Presented technical architecture to 5+ Verizon SVPs and university leadership
- AI/ML Systems: embeddings, vector search, agentic AI, model evaluation
- Backend Engineering: API design, repository patterns, real-time systems with WebSockets
- Data Engineering: ETL pipelines, data processing, analytics
- Cloud Architecture: AWS, Azure, Oracle Cloud, Infrastructure as Code
- Database Systems: SQL optimization, schema design, performance tuning
- Full-Stack Development: React, Node.js, Python backends
- DevOps: Docker, CI/CD, automated deployment pipelines
I'm always open to collaborating on interesting projects or discussing opportunities in software engineering, machine learning, and data science. Feel free to reach out!



