Jasmine Harper
High Wycombe
Summary
Detail-oriented and analytical Software Developer Apprentice with a strong skill set in Python, Flask and TypeScript. Committed to delivering high-quality code and solutions while continuously seeking opportunities for growth and improvement. A hardworking professional dedicated to contributing to innovative software development projects.
Overview
1
1
year of professional experience
Work History
Software Developer Apprentice
Cornerstone VC
04.2023 - Current
- Researched and developed a full-stack program using Flask and React to enhance discovery-driven outreach efforts.
- Leveraged API integrations for data retrieval and filtering to automate manual processes and increase outreach efficiency.
- Used dependency parsing in spaCy to analyze syntactic relationships and determine work-related contexts for NER.
- Optimized software functionality through continuous integration and deployment practices.
- Developed a React Native app integrated with PostgreSQL, enabling users to create and fill out scorecards for gathering quantitative data on team sentiment towards specific opportunities.
- Designed several websites and a card game project as part of a team of developers and quality engineers during a three-month training bootcamp.
Technical Apprentice
Evaro
01.2024 - 04.2024
- Developed a React app enabling non-technical employees to create HTML emails easily.
- Analyzed and created a detailed report on existing internal software to guide the development of its next version.
- Aided in the development of a Next.js application for a questionnaire builder prototype.
- Managed the addition of products and consultations to the WordPress website via the backend interface.
- Implemented cybersecurity measures on company devices.
AI Intern
Definely
09.2023 - 11.2023
- Enhanced LLM model accuracy for token classification by refining training data and implementing optimization techniques.
- Created a language-agnostic solution using spaCy for searching noun forms to address existing product challenges.
- Developed and optimized AI prompts to tailor contractual clauses for buyer/seller preferences.
- Worked with Neo4j to visualise word relations with knowledge graphs.
- Integrated a feature into the existing product to enable users to easily retrieve company data via the Companies House API.
Education
Level 4 Apprenticeship - Software Development
Makers
10.2024
Software Engineering Bootcamp
Imperial College London, HyperionDev
Masters in Law - Law
Queen's University of Belfast
Master of Arts - Economics
The University of Edinburgh
Skills
- Python, TypeScript, Flask, React
- PostgreSQL, MongoDB
- Git version control
- Agile development
- API integrating
Timeline
Technical Apprentice
Evaro
01.2024 - 04.2024
AI Intern
Definely
09.2023 - 11.2023
Software Developer Apprentice
Cornerstone VC
04.2023 - Current
Level 4 Apprenticeship - Software Development
Makers
Software Engineering Bootcamp
Imperial College London, HyperionDev
Masters in Law - Law
Queen's University of Belfast
Master of Arts - Economics
The University of Edinburgh
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