jeffreywallphd/AutoProphet
Nov 2025 – Dec 2025
2 Months active
Languages Used
CSVMarkdownPython
Technical Skills
AI developmentdata analysisuser experience researchAI integrationAI model trainingFlask
PayceeA
PROFILE
Payceea
Over a two-month period, PJ Assenmacher developed and enhanced the AutoProphet finance chatbot, focusing on aligning AI responses with real investor needs. He integrated CSV-based investor interview data into the model training pipeline, enabling more relevant and targeted chatbot interactions. On the backend, he implemented a Flask API with MySQL persistence and integrated a fine-tuned TinyLlama model for response generation, storing chat history for analytics and auditability. His work in the jeffreywallphd/AutoProphet repository included comprehensive deployment documentation, supporting rapid onboarding and future scalability. The project demonstrated depth in Python, AI integration, backend development, and technical documentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
675
Activity Months2
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Work History
December 2025
6 Commits • 2 Features
Dec 1, 2025December 2025 monthly highlights for jeffreywallphd/AutoProphet focused on delivering end-to-end chatbot capabilities, strengthening deployment readiness, and documenting setup to enable rapid onboarding and future improvements. No major bugs reported; emphasis on reliability, scalability, and maintainability.
6 Commits • 2 Features
Dec 1, 2025December 2025 monthly highlights for jeffreywallphd/AutoProphet focused on delivering end-to-end chatbot capabilities, strengthening deployment readiness, and documenting setup to enable rapid onboarding and future improvements. No major bugs reported; emphasis on reliability, scalability, and maintainability.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Focused on enhancing AutoProphet training data with real investor input to drive business value in finance/ investing chat experiences. Delivered a CSV-based data ingestion artifact that aligns chatbot responses with investor needs, enabling targeted improvements and faster iteration.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Focused on enhancing AutoProphet training data with real investor input to drive business value in finance/ investing chat experiences. Delivered a CSV-based data ingestion artifact that aligns chatbot responses with investor needs, enabling targeted improvements and faster iteration.
Activity
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Quality Metrics
Correctness94.4%
Maintainability94.4%
Architecture94.4%
Performance94.4%
AI Usage48.6%
Skills & Technologies
Programming Languages
CSVMarkdownPython
Technical Skills
AI developmentAI integrationAI model trainingFlaskMySQLNode.jsPythonReactbackend developmentchatbot developmentdata analysisdocumentationmachine learningtechnical writinguser experience research
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