Professional Summary
Applied machine learning practitioner with a strong software engineering foundation and production experience on a real-time payments platform. Currently completing an M.S. in Computer Science (Artificial Intelligence).
Experienced in end-to-end ML/LLM projects, including modeling, offline evaluation, error analysis, and API-based deployment, with a disciplined approach to testing, CI, and release readiness.
Information
- Florida, USA
- +1 (908) 764-7332
- cordova.nellie@outlook.com
- linkedin.com/in/cordovank
- github.com/cordovank
Technical Skills
- Languages — Python (primary) · Java · SQL · R · C++ (academic)
- Backend & APIs — FastAPI · REST APIs · Pydantic · typed request/response models
- Quality & Delivery — CI/CD (Jenkins, Maven) · automated testing (JUnit/Cucumber) · API/perf testing (Postman, SOAP UI, JMeter) · release readiness
- Cloud & Ops — Docker · AWS (AI Practitioner) · monitoring/alerting · runbooks
- LLM / RAG / Agents — RAG pipelines (retrieval, reranking, citations) · evaluation & guardrails · prompt/tool workflows · OpenAI Agents SDK · LangChain (exploratory)
- ML Foundations — PyTorch · scikit-learn · Transformers · NumPy · pandas · classification · fine-tuning & transfer learning · sequence models (RNN/LSTM, seq2seq) · attention / memory networks
- Data & Evaluation — experiment design · cross-validation · data preprocessing/augmentation · metrics (F1, RMSE, perplexity) · error analysis · visualization (Matplotlib)
- Developer Tools — Git · Jupyter · VS Code · IntelliJ · JIRA · Bitbucket · Confluence
- Other — English & Spanish (bilingual)
Professional Experience
Software Engineer
JPMorgan Chase & Co. | Tampa, FL
2019 - 2021
Real-Time Payments Platform
- Contributed end-to-end across the SDLC for Java-based payments microservices and drove production readiness.
- Authored comprehensive operational runbooks—architecture, dependencies/configs, failure modes, diagnostic checklists, and step-by-step remediation—to enable fast triage, recovery, and self-serve on-call; provided light support on monitoring/alerting dashboards with platform/SRE.
- Built and maintained test automation (JUnit, Cucumber); enforced CI quality gates (tests, static analysis, coverage) to keep merges green, and executed functional/perf testing (Postman, SOAP UI, JMeter).
- Managed regulated releases: compiled release evidence (test/coverage reports, change tickets, approvals) to secure production sign-off; presented services to global production management.
- Led/participated in agile rituals (sprint planning, backlog refinement); authored technical docs; coordinated across time zones.
2019 - 2020
Salesforce Platform
- Delivered Salesforce CRM data-collection and reporting features for a social-impact organization.
- Gathered stakeholder requirements and translated them into schema updates, UI changes, and documented technical implementations.
- Expanded the underlying data model by adding new objects, fields, and relationships, and updated the custom Visualforce UI to align with the revised schema for accurate structured data capture.
- Contributed a small Flow-based automation to digitize an existing paper survey, enabling standardized survey generation within the CRM.
ML Research Assistant
CS Dept. @ William Paterson University | Wayne, NJ
2018 - 2019
- Performed exploratory data analysis on behavioral survey data to complement hypothesis-driven research on teen tanning behaviors.
- Cleaned and prepared structured survey data, handling missing values and categorical variables.
- Built and evaluated predictive and unsupervised models in Python and R, including Logistic Regression, KNN, and clustering methods.
- Compared model behavior and results to understand key drivers, limitations, and trade-offs.
- Communicated findings and insights to faculty and student audiences through presentations.
Education
M.S. in Computer Science (Artificial Intelligence)
Georgia Institute of Technology | Atlanta, GA
2022 - Present
Relevant Coursework: Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Network Science See all
B.A. in Mathematics | Minor: Computer Science
William Paterson University | Wayne, NJ
2016 - 2019
Relevant Coursework: Applied Regression Analysis, Data Warehouse & Data Mining, Database Management Systems, Statistical Computing, Business Analytics, Cloud Computing
Magna Cum Laude • Pi Mu Epsilon (National Mathematics Honor Society)