Rob Seals

(***) - *** – **** ad3k5s@r.postjobfree.com

PROFILE SUMMARY

As a skilled Machine Learning engineer specializing in NLP and Computer Vision, I am driven by a deep passion for leveraging AI advancements to solve complex problems. With a strong focus on staying at the forefront of technology, I continuously seek innovative approaches to optimize ML solutions. My proven track record in ML, data analysis, problem-solving, and solutions architecting underscores my commitment to delivering exceptional results. With attention to detail, I consistently identify areas for improvement and enhance overall performance. I am excited to bring my expertise and experience to a role that aligns with my interests and ambitions in the field of Machine Learning.

CORE COMPETENCIES

●Skilled in collecting and interpreting data to help companies make better business decisions

●Expertise with machine learning, coding languages, solution design, and reporting technologies

●Strong foundation in Python, with 4 years of writing experience

●Knowledge and application of various machine learning algorithms, such as classification, regression, clustering, and deep learning architectures.

●Experience building and maintaining NLP model including BERT,LLama, GPT, LLM models.

●LLM fine tuning experience.

●Ability to clean and process customer data for analysis and model building.

●Experience with large language models, deep learning, computer vision, and reinforcement learning.

●Enterprise level experience with AI chatbot training and platforms.

●Understanding of the infrastructure and tooling required for deep learning projects, including data preprocessing, model training, and deployment.

●Proficiency in manipulating and analyzing data using libraries like NumPy, Pandas, and Scikit-learn.

●Expertise in PyTorch and other deep learning frameworks such as TensorFlow, MXNet, and Keras

●Understanding of techniques to evaluate and validate machine learning models, including cross-validation, performance metrics, and bias-variance trade-off.

●Knowledge of delivering data-driven, action-oriented solutions to challenging business problems

●Ability to approach problems analytically, break them down into smaller components, and apply appropriate machine learning techniques to develop effective solutions.

●Proficiency with Computer Vision and NN architecture including CNN,RNN, GANs, and facial recognition models

SKILLS HIGHLIGHTS

Data Analysis Text Analytics Deep Learning, Reinforcement Learning

Machine Learning Algorithms Data Visualization Big Data Queries and Interpretation

Multimodal Models Computer Vision User Experience Design & Business Impact

Data Cleaning & Preprocessing NLP Model Development Experimental Design & Analysis

TensorFlow, Keras, PyTorch,Cuda AI Chatbot Training Market Analysis & Insights Synthesis

Private Equity/VC Incubation` Financial Modeling / Strategy

Time Series Google Tech Stack

Recent PROFESSIONAL WORK EXPERIENCE

Recent

Senior NLP Developer – Charter Communications Sept 2023 - Present

●Spearheaded the training data preparation and optimization process for NLU models supporting a conversational agent.

●Proficiently trained and fine-tuned machine learning models, from older classifier models, to transformer based models like the few-shot LLM.

●Utilized Python to conduct Exploratory Data Analysis (EDA) and implement text analytics, identifying areas for model improvement and delivering insightful reports to stakeholders.

●Applied speech science techniques to refine speech data, improving the agent's ability to process and respond to spoken language.

●Developed and implemented models for task-oriented applications, including intent classification and predictive analytics, leading to enhanced agent performance.

●Collaborated cross-functionally with, engineers, and product managers to align NLP efforts with broader company goals.

●Actively participated in model evaluation and iteration, using metrics such as accuracy, precision, recall, and F1 score to drive improvements.

●Stayed current with the latest advancements in NLP and machine learning by regularly attending conferences and workshops.``

Machine Learning Engineer – Vision R&D Nov 2021 - Sept 2023

●Utilize various techniques to gather and process data and develop A.I. models using N.L.P., computer vision, deep learning, statistical modeling, recommendation systems, and data visualizations.

●Develop tools and models for application use, and analyze data to solve complex business problems.

●Drive innovation and achieve business objectives using cutting-edge technologies and tools.

●Consulted organizations on data and analytics using statistical and machine-learning models.

●Architect and implement analytics and visualization components for device data analysis platform to predict hardware.

●Manage data operations team and collaborated with data warehouse developers to meet business user needs, promote data security, and maintain data integrity.

Data Analyst – Hudson Way Capital Oct 2020 - June 2022

●Conducted market research to identify new opportunities and trends.

●Analyzed financial data to evaluate investment opportunities.

●Created financial models to forecast potential returns.

●Acquired, organized, refined, audited and delivered financial data to internal and external clients.

●Reviewed and maintained an extensive security master database, providing foundational data for compliance software modules.

●Provided insight that contributed to profitable trades

●Employed Monte Carlo simulations, Valuation Models (e.g., DCF), and Machine Learning Algorithms (e.g., Gradient Boosting, Neural Networks) to assess risks, returns, and enhance forecasting accuracy.

●Utilize machine learning techniques such as XGBoost, decision trees, and NLP for predictive modeling, sentiment analysis, and behavioral finance analysis.

●Implement portfolio optimization methods including mean-variance optimization, Black-Litterman model, and risk parity to manage assets effectively.

●Leverage alternative data analysis for market insights by tapping into non-traditional sources such as satellite imagery and web scraping, while also conducting risk assessment through credit risk modeling and stress testing using ML.

Machine learning: Personal Projects

Stark - Hand Gesture, Facial recognition Tracking and Voice Recognition System (Computer Vision)

●Developed and implemented a computer vision-based system, Stark, that tracks hand gestures and utilizes voice recognition to control desktop and TV applications.

●Designed and trained deep learning models to accurately detect and classify hand gestures in real time.

●Integrated voice recognition capabilities for seamless and hands-free interaction with technology.

●Showcased the system's accuracy and efficiency through rigorous testing and validation.

●Achieved improved user control and convenience in desktop and TV application usage.

Conversational AI Agent: (NLP)

●Led integration of LLama conversational model for dynamic conversations in the Epiphany project.

●Curated and fine-tuned the knowledge base for reliable responses.

●Employed a technology stack consisting of Python, CUDA for GPU acceleration, LLM (Large Language Model), and integrated tools for multimodal capabilities to handle text, speech, and other data types.

●Implemented a range of functionalitie through fine tuning, including providing business advice, facilitating brainstorming sessions, supporting iterative problem-solving, identifying gaps in strategies, and enabling website navigation.

●Chatbot provides extensive expertise across marketing, finance, operations, and entrepreneurship.

●Drove creative ideation and explored innovative business growth opportunities.

●Played a key role in software planning, scoping, and implementation strategies.

●Demonstrated proficiency in NLP, Data engineering, AI-driven ideation, and software development, web development while contributing to the Epiphany project's success.

AI Invetment strategy using reinforcement Learning: (NLP)

●Led a Reinforcement Learning project to develop an agent for discovering an investment strategy for Bitcoin (BTC).

●Designed and implemented the RL environment and agent for BTC investment.

●Conducted experiments, fine-tuning RL algorithms to optimize investment performance.

●Analyzed and interpreted results to iteratively improve the agent's investment strategy.

●Demonstrated expertise in RL, algorithm development, and data-driven investment strategies through the successful execution of the project.

●Concluded that the Reinforcement Learning model autonomously selected a Dollar-Cost Averaging (DCA) based investment strategy, demonstrating its adaptability and ability to identify sound investment practices for Bitcoin (BTC).

Work Projects

300 Acres - Role: Machine Learning Enginner / Data Scientist

●Led data-driven machine learning and deep learning project for venture selection, utilizing historical data and other inputs.

●Developed and deployed predictive models using Python and TensorFlow, Keras, PyTorch libraries.

●Analyzed market trends, financial performance, and technology advancements using historical data to identify promising ventures.

●Integrated models into the investment decision-making process, providing actionable insights based on trained models.

●Optimized model performance and communicated findings to stakeholders using data visualization.

●Collaborated with cross-functional teams, fostering a productive work environment.

●Acquired knowledge of innovation capital and investment processes.

VRR - Role: Digital Solutions Architect / Data Scientist –

●Assisted with business planning and strategy development for early-stage ventures.

●Identified new venture opportunities and developed strategies.

●Developed and implemented growth strategies through digital transformation for new and existing ventures.

●Managed the entire lifecycle of ventures, from ideation to launch to growth and scale.

●Designed and developed digital solutions for our clients, including websites, mobile applications, and other software solutions.

Athletes in Recruitment - Role: Software Solutions Architect

●Served as Project Manager and Software Engineer, leading product development and overseeing the dashboard and data system.

●Utilized Agile methodologies, successfully managed multiple projects and collaborated with cross-functional teams to establish A.I.R. as a leader in the recruitment industry, delivering innovative solutions to athletes and coaches.

●Improved efficiency and lowered costs by implementing automation and virtualization solutions.

●Developed B.I. solutions that enabled business-critical information to be centralized, saving enormous amounts of time & eliminating inefficiencies.

●Performed presales scoping, evaluations and proof of concept functions, increasing sales and improving resource allocation.

EDUCATION

●MA - UT Austin 2024

●Post Grad AI/Machine Learning – UT, Austin edx 2022

●M.B.A. Strategy – S.M.U. 2020-2021

●BACH Sociology – S.M.U. 2011 – 2015

CERTIFICATIONS

●Full Stack Web Development Coder Camps

●Certification Python development- Morehouse

Contact this candidate