About Me
Recent Computer Science graduate from Manhattan University (GPA: 3.68) with a concentration in AI & Machine Learning coupled with 2+ years of engineering experience in enterprise automation, tooling, and full-stack development. From building climate-aware apps and digitizing compliance workflows to leading cross-functional projects, I combine technical rigor with a product mindset. My work has reduced manual overhead by up to 45% and empowered teams with scalable, self-serve solutions.
Most recently, I’ve also been serving as a technical advisor for an early-stage startup focused on using computer vision to reduce human error in medication administration for bedridden patients.
Technical Skills
- Programming:
Python, C++, Objective-C, Java - Web Development:
HTML, CSS, JavaScript, Flask, PHP - Database:
SQL, MySQL, PostgreSQL, MongoDB (NoSQL) - Mobile Development:
iOS (Swift, Objective-C++), Android (Kotlin) - Tools & Frameworks:
Docker, Kubernetes, Firebase, Git, Power Apps, Power BI, Power Automate
Experience
Software Engineering Intern
Orange & Rockland Utilities (Con Edison Subsidiary) April 2024 – Present- Replaced manual paper-based maintenance reports with a Power App that digitized data entry, auto-validated inputs, triggered alerts for anomalous readings, and auto-generated PDFs for compliance, eliminating missing documentation and cutting process time by 45%.
- Built role-based PDF/email automation logic into reporting system which routes reports to managers based on compliance flags and user inputs, reducing email churn and manual routing errors.
- Designed and shipped a custom SF6 tracking tool to log cylinder refills, transfers, and losses across equipment, enabling the company to comply with new environmental regulations by tracking discrepancies and gas loss at each transfer point.
- Delivered a third internal logistics form app used to route crew requests from external vendors, centralizing data collection and improving team scheduling and response times.
- Led QA testing catching critical bugs in form logic, calculations, and UI before deployment; wrote user guides and trained 20+ users, with over 30 reports processed in the first month alone post-launch
Student Researcher
Manhattan College School of Science Summer Research June 2023 – August 2023- Built a Word2Vec-based model to analyze semantic gaps in SNOMED CT medical taxonomy; achieved ~80% accuracy in detecting missing clinical attributes, improving ontology completeness.
- Developed validation scripts in Python/MySQL to detect attribute inconsistencies in clinical data, helping ensure standardized terminology usage in medical records.
- Optimized data processing by indexing, normalizing tables, batching queries, and enabling caching, reducing latency by 30%.
Peer Mentor (IT Associate)
Manhattan College Opportunity Programs June 2022 – August 2023- Provided live and on-call support for setting up enviornments and troubleshooting both software and hardware issues during the summer bridge program.
- Led technical workshops and helped organize and staff orientation logistics for 30+ incoming students
- Managed logistics and scheduling for a small team (5 members) covering tech, events, and meals; coordinated duties and ensured smooth daily operations.
Co-founder
Aeon Scans, Digital Manga Company May 2020 – August 2022- Led a remote team of 50+ across editing, typesetting, dev, design, and translation, producing weekly releases for 15+ manga series reaching 3K-10K readers per chapter.
- Built internal dashboards and bots to automate team tasking, quality control workflows, and recruitment pipelines, cutting manual coordination by ~30%.
- Oversaw release quality and resolved internal conflicts across departments and with external partners, keeping standards high and community feedback minimal.
- Maintained an active community (~500 users) and hosted sneak peeks to keep readers engaged and reduce churn during production lulls.
Projects
DOR – Digitized Observation Rubric
Role: Product Manager, Developer, Designer
An iPad app developed for the Chair of Education at Manhattan College to digitize the observation and scoring process for student teachers, replacing pen-and-paper checklists with a robust native iOS experience.
- Led client communications and defined functional requirements for rubric creation, scoring, and data reporting.
- Designed complete UI/UX in Figma, focusing on clarity, focus, and real-time scoring usability.
- Built custom forms (checklist page) to manage categories, sub-categories, dynamic scores, counters, and rubric comments.
- Implemented local storage and offline functionality to support privacy and reliability in low-connectivity classrooms.
Screenshots
Links:
Detecting Inconsistencies in SNOMED CT
Role: Researcher & ML Developer
For this project, I used machine learning and sibling-concept analysis to detect modeling inconsistencies in SNOMED CT, a medical terminology standard used in 80+ countries. Presented at Manhattan College’s research symposium.
- Built an auditing pipeline using Word2Vec and attribute modeling to identify semantic mismatches between 350K+ clinical concepts.
- Flagged attribute inconsistencies with ~83% precision by analyzing lexical and structural similarity across hierarchies.
- Optimized MySQL-based data retrieval through indexing, normalization, batching, and caching to improve audit performance.
- Visualized clustering of similar terms and audited output via accuracy dashboards, driving faster manual verification.
Screenshots
Links:
Matrix Calculator for iOS
Role: Developer
High-performance matrix calculator app (iOS) built using C++ and Objective-C++ to support intensive computation with real-time UI interaction.
- Implemented Gauss and Gauss-Jordan elimination algorithms in a C++ backend with Objective-C++ bridging.
- Designed and integrated a responsive SwiftUI interface for dynamic matrix input and result rendering.
- Handled runtime validation for matrix dimensions and edge cases to ensure fault-tolerant operations.
Screenshots
Links:
Contact
Reach out to me at emiltlevin@gmail.com or connect with me on LinkedIn and GitHub.