CORE PITCH + TECHNICAL PRODUCT VISION:Democratizing Real Business + Personal Growth Optimization for Everyone Using Data + AI + OR."Our mission is to make real business and personal growth accessible to everyone by building the next-generation agentic AI optimization layer. Using Data, AI and Operations Research, we enable businesses to grow revenue most dynamically, accurately AND optimally based on mathematically, statistically & computationally proven solutions while additionally empowering individuals to achieve personalized career growth goals. Our platform bridges the gap between complex growth strategies and accessible, actionable solutions for all. We don't want to leave the BEST, MOST Optimal Decision-Making to the Tech Elites like Amazon, Google, etc. We want to democratize advanced AI + Operations Research for ALL including SMBs."• Designing and implementing end-to-end unified AI Group & Private chat experiences based on core business data for knowledge base from various external data sources and APIs and proprietary AI models, mission & career-centric taskforce priority ranking dashboard & analytics dashboard while leveraging DQC automation layer, OR-Driven Optimization Layer, Human Feedback & Customer Support Layer on a multi-modal agentic AI RAG system (sounds fancy, but it is best explained with an architecture diagram to simply high-level end-to-end unified data engineering, chat & OR platform for businesses while supporting employee career growth & mental health quality optimizations. In the age of AI Automations, AI Optimizations + Automations is the next step such that we make best predictions and recommendations with AI/ML, apply OR for most optimal actionable predictions, and finally we execute on these MOST optimal, accurate decisions using APIs like Notion for building BEST dynamic business & career plan optimizations adapting to real-time to near real-time feedback).

• Built GameFitness AI MVP Product as an applied AI hybrid vertical SaaS & test AI startup within 4 Months using Figma for product design, ChatGPT & Claude for code template generation, TypeScript & NextJS for full stack web application development & file routing system, OpenAI for fitness AI program creation & AI virtual pet assistants (for future RAG optimization & agentic AI workflow), Stripe for payments and obtained strategic partnership with "Microsoft for Startup Founders Hub" resulting in 15 core MVP services which can be expanded for future development.• Researched and created the GFA whitepaper that led to market valuation insights such as $1-10M+ at low range in terms of market valuation for next decade while additionally achieving a potential $nB+ market cap where n is constant.

Created page to potentially start within the independent consulting space while extending to hybrid business model for SaaS. Migrated to name Hizon Tech Consulting to additionally build, test & sell custom SaaS products.🏎 Phase 1: Research & Development• Research, plan & develop website to sell services from data engineering to custom SaaS product from idea to shipment, generated leads through inbound marketing & promoting of our own quality SaaS products.• Testing development of GFA for next 3-6 months. 🐶

I am part of the Medium Partner Program to learn about how to generate passive income online based on published articles, build connections w/ other content creators & develop skills in marketing.• Published 30+ articles to provide data-driven career insights & influence network towards technical content creation using YouTube & Canva.• Wrote content on topics such as Software, Data & Personal Finance.

• Guided & troubleshooted automated migration efforts towards production AWS RDS database using TypeORM & PostgreSQL.

Amazon Global Finance - Tax (Aug 2023 - Dec 2023):• Implemented an event-based Python scheduler ETL tool (similar to Apache Kafka & Airflow) for the international Amazon Tax Team resulting in automation of ETL jobs such as SQL migration from Redshift to ATX Cloud for Quicksight dashboard, creation of new custom template files based on custom Python functions and VBA Macros, and XML data processing.PG&E - Enterprise Data Quality / Data Quality Services (2022-2023)• Architected and implemented AWS solutions while testing end-to-end Jenkins CI/CD pipeline, enabling the automated bi-directional data flow between two legacy systems and AWS (S3, Lambdas, Secrets Manager) on a microservices architecture designed for scalability, availability and security storing 100s of TBs of data.• Collaborated with PG&E data-driven teams to build, troubleshoot & maintain scheduled data pipelines for enterprise-level data quality dashboards & geospatial analytics using Palantir Foundry, PySpark SQL for scheduler-based aggregations & transformations and JavaScript achieving nearly 100% of data assets covered by data quality checks & increased efficiency of onsite workers by over 50%.• Optimized test-driven development processes by enhancing and integrating a custom class incorporating PySpark dataframes for comprehensive testing of various functionalities and features within the DQ rules engine, ensuring robustness and reliability post-development via 100% of features covered by unit tests.• Reduced code redundancy and development timelines through strategic codebase refactoring, effectively mitigating overall technical debt and improving maintainability increasing developer productivity by 30%.Training:• Studied Databricks Data Engineering courses, gaining exposure to concepts like Lakehouse, incremental data processing with Delta Live Tables, Medallion Architecture.

• Architected an end-to-end data pipeline solution using AWS services for automated ELT of nearly 100s of GBs of data.• Completed over 1000 hours of hands-on coursework including 2 in-depth capstone projects and numerous mini-projects using big data technologies such as Microsoft Azure, Databricks, Hadoop, Spark, Kafka, Airflow and Docker.• Mentored individuals on data engineering coursework and project portfolio development post-completion of program leading to multiple individuals landing their first data engineering opportunity.Project 1 - Global Knowledge Graph Data Pipeline:• Planned, proposed and architected a data pipeline solution using AWS solutions such as AWS S3, EMR, Athena, Glue and CloudWatch.• Built a class called "DataPipeline" to automatically extract, load and transform nearly 100 GBs of data using PySpark API and boto3.Project 2 - Stock Market Data Pipeline• Designed a data pipeline using AWS S3 and EMR applied to stock exchange data while incorporating bash script to automate running Python scripts.

• Developed multiple functions using Python to preprocess and generate new CSV files for data visualization & statistical analysis using pandas, matplotlib & plotly.• Constructed data visualizations from 10 years of raw data extracted from PDF files inside the City of Davis website into Excel for budget data analysis.• Automated ELT process using Python & MySQL Workbench to store over 80 tables of biotech device data from 80 CSV files and 8 README.txt files.

• Scraped, transformed & loaded data using NLP on Google Search Engine, Google Drive and RStudio for custom ETL.• Communicated recommendations and predictions about interdisciplinary research to the Provost Office incorporating multiple text-driven data visualizations including inter-topic distance models, top-30 most salient words, word frequency charts and word clouds.• Created processes for effective collaboration, including workflows and slide decks for decision making across the entirety of the NLP research data pipeline.