Data Engineer & AI Specialist

A results-driven data professional with expertise in building robust ETL pipelines and automated workflows that transform raw data into actionable insights. Proven track record of reducing manual processing time by 60% and improving system reliability by 40% through intelligent automation using Python, SQL, Apache Spark, and cloud platforms. Specializes in designing scalable data integration pipelines, managing both structured (PostgreSQL, SQL) and unstructured data (vector databases, NoSQL), and implementing real-time data synchronization for enterprise systems. Experienced in big data technologies including Hadoop and Spark, with hands-on skills in creating interactive visualizations and performing exploratory data analysis to uncover critical business patterns. Currently pursuing a Master's in Applied Machine Intelligence at Northeastern University while bringing a unique combination of technical expertise in cloud platforms (AWS, Azure), API integrations, and strong business acumen to deliver data solutions that drive strategic decision-making and measurable organizational impact.

Name: Amos Jaimes

Birthday: 24 January 2002

Degree: Master in Professional Studies

Program: Applied Machine Intelligence

Experience: 2 Years

Phone: +1 617-934-9015

Email: jaimes.a@northeastern.edu

Location: Boston, MA

Quality

Education & Experience

My Education

MPS in Applied Machine Intelligence

Northeastern University | Boston, USA | 2024 - 2026

Currently completing Masters in Professional Studies at Northeastern University in the program Applied Machine Intelligence

Bachelor in Computer Application

Kristu Jayanti College | Bangalore, India | 2019 - 2022

Successfully completed Bachelor degree in Computer Science with a strong GPA in the year 2022

High School

St. Philomena's Public School & Junior College | 2017 - 2019

Successfully completed high school in the concentration Computer Science

My Experience

Software Test Engineer

National Instruments (Telibrahma SW Service Contract) | August 2022 - July 2024

Contributed to ensuring the software was up to the standards and helped new customers to have a clear idea of the functionality.
Provided recommendations and assisted clients in seamlessly integrating National Instruments technology into their software.
Developed industrial-level drivers to integrate with LabVIEW and C, automating instrument testing.

Python

95%

JavaScript

90%

C/C++

85%

DevOps

80%

Java

90%

SQL/Database

88%

Hadoop/Spark

85%

PyTorch/ML

82%

Certificates

My Certifications

Advanced Data Science Certification

IIIT Bangalore - Advanced Certification Program for Data Science

Data Science Analytics

Azure Administration

LinkedIn Learning - Azure Administration Essential Training

Azure Cloud

AWS Academy Graduate

AWS Academy Cloud Foundations - Comprehensive cloud computing fundamentals

AWS Cloud Foundations

Data Engineering

Design and implement robust data pipelines, ETL processes, and data warehouse solutions to transform raw data into actionable insights.

AI/ML Development

Develop intelligent systems using machine learning algorithms, neural networks, and AI frameworks to solve complex business problems.

Software Development

Create custom software solutions, drivers, and applications using Python, C++, Java, and LabVIEW for various industries.

Data Analytics

Perform comprehensive data analysis, statistical modeling, and create interactive dashboards for data-driven decision making.

Cloud Solutions

Design and deploy scalable cloud-based solutions using Azure DevOps and other cloud platforms for optimal performance.

ServiceNow Development

Develop and customize ServiceNow solutions for IT Service Management, workflow automation, and enterprise integrations.

All
Data Engineering
Machine Learning
Software Development

CPS AI Assistant

Enterprise-grade RAG application with LangChain, Supabase vector databases for academic advisor workflows

AR Face Tracking MVP

Real-time AR application with MediaPipe Face Mesh, Three.js, 30+ FPS on web/mobile platforms

Productivity Patrol

AI-powered desktop monitoring with facial recognition, emotion detection, PyQt6 dashboard

Vallive Tournament Platform

Full-stack responsive web app for gaming community with Firebase real-time sync and authentication

EDA Loan Application Analysis

Interactive visualizations and data analysis using Python, Pandas, Matplotlib, Seaborn

Location

Boston, MA, USA

Phone

+1 617-934-9015

Email

jaimes.a@northeastern.edu

About

About Me