Martin Chavez | AI and ML Engineer

Hi, I'm Martin Chavez

A

I am Martin Chavez, a machine learning engineer dedicated to leveraging data for impactful solutions. Since starting my journey in 2017 with predictive analytics, I’ve honed my skills by collaborating with talented professionals.

I specialize in developing accessible data products and robust machine learning models that deliver actionable insights. With my experience, I’m equipped to tackle challenges and transform data into valuable assets for organizations.

Experience

Pivot88

Machine Learning Engineer

Drove AI and machine learning initiatives that enhanced operational efficiency and informed strategic decisions, directly contributing to increased profitability.
Developed predictive models that optimized resource allocation and improved service delivery, resulting in a measurable reduction in operational cost
Collaborated with cross-functional teams to identify and address business challenges through data-driven insights, leading to improved project outcomes and customer satisfaction
Implemented advanced algorithms and model optimizations that significantly boosted performance metrics, enhancing overall product reliability and user engagement

Jan 2022 - Present | Remote

Technova Solutions

Machine Learning Engineer

Spearheaded the development of machine learning models that provided insights for strategic planning, leading to enhanced business performance and competitive advantage.
Designed algorithms for real-time data analysis, improving the accuracy of forecasts and enabling timely decision-making across various departments.
Partnered with data scientists and business stakeholders to create tailored solutions that addressed specific operational challenges, resulting in increased efficiency and productivity.
Enhanced existing systems through iterative improvements and refinements to machine learning models, significantly increasing accuracy and reducing processing times.
Championed the use of best practices in model evaluation and validation, ensuring high-quality outputs that built trust and reliability in data-driven initiatives.

Jan 2018 - Oct 2021 | Remote

InnovateX Labs

Data Analyst

Conducted in-depth data analysis to uncover trends and insights that informed business strategies, resulting in improved operational efficiency and revenue growth.
Developed interactive dashboards and visualizations using tools like Tableau and Power BI, enabling stakeholders to easily interpret complex data and make informed decisions.
Collaborated with cross-functional teams to identify data needs and design effective data collection processes, enhancing the accuracy and relevance of insights.
Automated reporting processes through SQL and Python scripts, reducing manual workload and accelerating the delivery of key performance metrics.

Oct 2015 - Nov 2017

Projects

                
Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A website developed with a lot of quiz for parepartion of different exam and test.
                
AccomplishmentsTools: Django, React, MYSQL, AWS
A website developed with a lot of quiz of parepartion of exam and different test.

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.