Timeline

Timeline

A quick, skimmable view of education + experience.

Python node.js TypeScript C/C++ Go Rust FastAPI React Docker Kubernetes PostgreSQL GraphQL RAG

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Education BS Dec 2024 • MS Dec 2025 • GPA 3.98

Rensselaer Polytechnic Institute

Selected coursework: Machine Learning from Data, Database Systems, Operating Systems, Network Programming, Algorithms

Experience Feb 2026 – Present

Software Engineer • Quaternion Consulting (remote)

  • Migrating systems to secure containers using Docker and Kubernetes
  • Automating existing tasks and workflows
Experience Jun 2025 – Present

CTO • Vidalens (remote)

  • Data analysis + preprocessing for model development
  • Built ML models for early warning detection of diseases / cell defects
  • Created tool-using model pipeline to improve accuracy and clarity
Experience Jan 2025 – Present

Machine Learning Consultant • Shamir Insight Inc (San Diego, CA)

  • Built containerized support chatbot for Shamir Spark devices (FastAPI + CLI)
  • Engineered RAG model using embeddings + Chroma vector store
  • Implemented prompt-injection safety checks and feedback workflows
Experience Jan 2025 – Aug 2025

Software Engineering Intern • Allied Business Partners (Delmar, NY)

  • Designed encrypted database schema for client/financial data
  • Built dashboard with interactive graphs and system outlines
  • Created GraphQL interface for better integration
Experience Jan 2024 – Aug 2024

Software Engineering Intern • Ameba Marketing (remote)

  • Worked on an image analysis model and data categorization at scale
  • Built automation to verify sponsorships using ML + data processing
Experience Aug 2023 – Aug 2025

Computer Science Course Assistant • RPI (Troy, NY)

  • Built Docker containers for esoteric languages (Haskell, Prolog)
  • Automated grading for 300+ submissions via Submitty
  • Developed reference solutions for complex problems
Experience May 2022 – Aug 2022

Computer Science Intern • Shamir Insight Inc (Upper Galilee, Israel)

  • Built lens thickness prediction model (~98% accuracy) using Scikit-learn
  • Engineered ASP.NET API handling 500+ daily requests to ML models