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Emanuel Jaimes

Emanuel Jaimes

Certified

Data Engineer

NYCU

Technologies

My Portfolio Highlights

My New Project

Consolidating Employee Data

My New Course

Introduction to Python

My New Workbook

Project

My New Project

Consolidating Employee Data

Headline

My Work

Take a look at my latest work.

DataLab

Project: Consolidating Employee Data

course

Introduction to Python

DataLab

Project

DataLab

Project: Consolidating Employee Data

My Certifications

These are the industry credentials that I’ve earned.

Data Engineer Associate

Data Engineer Associate

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate SQL
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Upwork | Jan 2023 - Present

Freelance Software Engineer

Upwork. I manage software engineering projects including writing code, collecting data, managing release cycles, analyzing app store reviews with AI, and using large language models to tailor content to individual users for small and large businesses alike. I collaborate with clients and other engineering teams to gather requirements and execute project deliverables. My role includes: --- Team Leadership --- I led a team of 4 software engineers reporting to CTO and CEO for legal documentation and data collection project. I monitored full-stack development, delivered on all milestones, and exceeded quality standards. --- Software Release Cycles --- I increased the speed to market for the client’s software release cycle from 3 weeks to >1 week after analyzing project data and re-delegating develpment tasks. --- Architecture --- I helped a client realize $900/month in savings by migrating workflows to a scalable architecture on Google Cloud Platform. --- Automation --- I reduced form generation time for a client from 2 days to ~4 hours for an Online Learning System by automating the personalized form generation. --- Coding --- I improved a client’s cash flow after cleaning up buggy and legacy code developed by an external engineer. Technical Scope: Python, FastAPI, Svelte, PyTorch, Transformers, Tesseract, OpenCV, CircleCI, Google Cloud Functions, Google Workflows, BigQuery, Pandas, OpenAI, ChromaDB, PostgreSQL, Docker, Ubuntu
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Cyberbiz Corporation | Jan 2022 - Jan 2023

Data Engineer

I joined CYBERBIZ where I owned ETL pipelines that updated user-facing analytics dashboards and enabled company teams with analytics to improve business operations and decision making. My role included: --- ETL Pipelines --- I integrated 400,000 daily records from 10+ sources into data warehouses by building robust ETL pipelines. --- Technical Support --- I reduced our tech support ticket backlog from thousands to hundreds per month by using NLP tools to stop platform misuse and classify products. Technical Scope: Python, Pandas, Airflow, SQLAlchemy, GCP, BigQuery, Metabase, ETL, MySQL, Ruby, BERT, Flask

National Yang Ming Chiao Tung University | Oct 2021 - Jan 2022

Teacher Assistant

TA - Machine Learning for Industrial Applications • Teaching: Worked as graduate teaching assistant and performed all assistant teaching duties including corrected assignments, exams, gave informative feedback, and taught the basics of programming with Python and Numpy covering topics such as: functions, variables, reading and writing CSV files.

NYCU – Energy Efficiency and Management Lab | Jan 2019 - Jan 2022

Research Assistant

While completing my graduate studies in Mechanical Engineering, I worked in the Energy Efficiency and Management Lab and sought to merge my Computer Science background with energy systems. I developed machine learning prototypes for new challenges and approaches to energy efficiency problems. I assessed prototype viabilities, analyzed data, and managed projects. My goal was to optimize HVAC systems for environments including classrooms, servers, and data racks. My role included: --- Automation --- I built automation that reduced energy consumption by 20% and CO2 levels by 18% by developing an RL agent that used real-time data to optimize HVAC settings for thermal comfort. --- System Optimization --- I optimized thermal energy and energy efficiency in a 1U server simulator by 35% for Pegatron. --- Process Improvement --- I reduced hot spots in a data rack by training an RNN and controlling fan speeds using TensorFlow. Technical Scope: Python, R, C++, Tensorflow, PyTorch, YOLO, Flask, LoRa, IoT, Arduino, Linux

My Education

Take a look at my formal education

National Chiao Tung University
National Taiwan University of Science and Technology

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