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Click here or scroll down to respond to this candidateCandidate's Name EMAIL AVAILABLE
Machine Learning - Software Engineer PHONE NUMBER AVAILABLE
Dynamic Machine Learning Software Engineer with 3 years of experience, I am
trained in the Software Development Life Cycle, strategic planning, and
database management. My expertise lies in predictive analytics, machine Atlanta, GA
learning, and cloud platforms, with a strong focus on scalability. I am skilled in
team collaborations to bring innovation with generative AI and its di erent
LINKEDIN LINK AVAILABLE
applications. I am recognized for re ning machine learning models and 1a876b204
optimizing database operations with exceptional problem-solving abilities.
SKILLS
Software Development Life Cycle Strategic Planning Database Optimization and Management Predictive Analytics
Data Visualization Back-end Development Machine Learning Cloud Platforms System Design and Architecture
Microservices Architecture Data Modeling DevOps Data Structures CI/CD Debugging and Troubleshooting
Automation Scalable Algorithms API Integration and Web Services Data Transformation Agile Methodologies
Scalability Project Management Tech Innovation Team Collaboration Problem Solving Decision Making
ACHIEVEMENTS
Optimized ML Models | Increased Performance Advanced Data Pre-processing | Boosted Reliability
Successfully positioned machine learning models, using TensorFlow and Developed a strong framework for pre-processing data using sci-kit-
PyTorch, performed speci c feature engineering, and hyperparameter learn, standardizing the cleaning and transformation procedures for all
tuning, the models' performance was improved by 15% across multiple incoming datasets, increasing data quality and reliability by 40%, and
projects, achieving a notable 20% reduction in computational costs. reducing the error rates in the nal model outputs by about 10%.
AI Solutions Development | Educational Empowerment NLP Project | Enhanced Customer Satisfaction
Led the charge, providing technical support at the Emory Center for AI Individually led an exciting NLP project, exploring customer feedback
Learning, crafting solutions and assisting with computing and analysis. analysis by leveraging NLP algorithms, decoded patterns and sentiments
Hosted engaging workshops on basic AI and generative AI topics, from vast data, driving product re nements and business growth, the
empowering 20+ participants, and enhancing their academic journey. data-driven approach raised customer satisfaction by 32%.
WORK EXPERIENCE
Machine Learning - Software Engineer
OMTOU
05/2024 - Present, Remote
Responsibilities
Develop and lead the design of machine learning models, researching and focusing on improving scalability, high accuracy and real-
time processing capabilities for various applications.
Ensure precise machine learning analysis of raw data by complete data pre-processing was conducted, followed by noise reduction,
normalization and application of advanced feature engineering techniques to improve accuracy and reliability.
Actively design and generate machine learning algorithms, improving by integrating models into real-time applications to enhance
system e ciency and performance.
Align machine learning initiatives with business strategies to secure the smooth integration and deployment of ML models through
collaboration with cross-functional teams comprising data scientists, software engineers, and business analysts.
Design, test and apply automated machine learning pipelines, leveraging tools like TensorFlow and PyTorch to facilitate model
training, evaluation, and deployment processes.
Maintain regular evaluation and validation of machine learning models using statistical analysis and real-world data, ensuring
reliability and performance through rigorous testing and improvement.
Prepare complete and detailed documentation and comprehensive reports on AI model development, implementation, and
performance, and make presentations to share knowledge and advancements in meetings with stakeholders.
Update current models with new data to keep them accurate, relevant, and high-quality. At the same time, focus on developing new
AI frameworks and tools, and explore innovative machine-learning techniques to solve complex business challenges.
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WORK EXPERIENCE
Research Fellow
Emory Center for AI Learning
09/2023 - Present, Atlanta, GA
Responsibilities
Initiate and manage advanced machine learning models for educational purposes on online platforms. Advise students, faculty, and
labs like the Shekar Lab project on key learning outcomes, algorithm selection, and model integration.
Managed the AI summer program by collaborating with a supervisor, advised students to train, and gave AI basics and generative AI
workshops. Currently developing resources to teach students about AI and its applications.
Developed code to classify C. Elegans worms from microscope images, using various thresholding techniques, the Zhang Suen
Thinning algorithm, CNN, achieved 93.94% accuracy in distinguishing dead or alive worms for research purposes.
Software Engineer Intern
EnergySage
05/2023 - 08/2023, Boston, MA
Responsibilities
Led the development of new and progressive ML algorithms, collaborated in Agile and Scrum with more than 90 engineers, managed
over 30 Git code repositories, and provided solutions using Docker, Django, Vue.js, AWS, and Postman.
Partnered with senior engineers in designing scalable algorithms for data prediction models, and participated in developing back-
end processes for data aggregation from renewable energy markets, optimizing query performances using SQL methods.
Tested JavaScript patterns, REST API development, and debugging. Improved online web applications, using software development
tools including DynamoDB, CORS, Pytest, HTTP, and API design.
Oversaw a project using generative AI and map image APIs to overlay solar panels on roof images and improved decision-making for
customers, regarding solar energy adoption by providing visual representations of installations.
WORK EXPERIENCE
Jr. Software Developer Intern and BI Team Leader IT and Automation Intern
StudyFind (06/2021 - 02/2023) PathAI (05/2022 - 08/2022)
Coached over 10 junior developers, built automation tools, oversaw Led design development and deployment, created 50+ Python scripts
sentiment analysis (NLP) of 100,000 data points, created 4 webpages for HR, Security, and IT tasks, integrating 20+ APIs. Automated tests
with React, and led web scraping automation. using Git, and CI/CD. Hosted project on AWS, optimized with Docker.
Research Assistant Research Assistant
Emory University SimBioSys Lab (01/2022 - 08/2023) Emory University SEE Learning Lab (07/2021 - 12/2022)
Worked Dr. Vigfusson and his research team to develop a GAN for Participated in a study on compassion among educators using SEE
face generation using TensorFlow in Python and deploy it on Flask for learning, overseeing data collection, database upkeep, and analysis
web security. for SEE learning implementation.
PROJECTS
OMTOU SWE Emory Center for AI Learning
Project Billie Shekar Lab Project
Craft a muscle signal detection system with EMG and DSP. Explored, Led the project individually, conducted experimental setup experiments,
selected sensors, and conducted experiments. Develop ML models for employed data processing, and developed a model using PyTorch to
real-time classi cation, bene ting clinical diagnostics, prosthetic facilitate lament depolymerization analysis from video capture to real-
control, and human-computer interaction in medical and assistive tech. time measurements. The project aims to improve e cacy and e ciency
TECHNICAL SKILLS
ML and Data Python, SQL, TensorFlow, PyTorch, Software Cloud Platforms, ETL Processes,
Science Scikit-Learn Development Database Systems, Version Control
Systems (Git), API Integration
EDUCATION
Bachelor of Science, Mathematics and Computer Science
Emory University
2020 - 2024 Atlanta, GA
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