Creative builder with a passion for design and a desire
to work on the cutting edge of Artificial Intelligence
Curious, lifelong learner with particular interests in
Natural Language Processing and Bayesian statistics
Looking for an entry level role in AI Engineering or Data
Science, in a place where I can learn from the best
Proven track record of managing a high-volume operation
and experience building a business from the ground up
Enthusiastic learner and practitioner of the data arts
Experience with both relational and NoSQL databases including PostgreSQL, SQLite, and MongoDB.
Knowledge of fundamental algorithms and models like Hidden Markov and CKY as well as modern frameworks and applications including Transformers, NLTK, and BERT models. Experience building an RAG system with Langchain.
Data Analysis skills in R and Python, visualization with Matplotib, Seaborn, and Ggplot2
Proficient in various machine learning techniques; experience deploying end-to-end machine learning projects using Scikit-Learn, PyTorch, Tensorflow, and Keras
Well-versed in various generative AI frameworks including Google Cloud and Langchain
Practiced at collecting and integrating data using postman, REST and SOAP APIs, and JSON and XML data formats
Experience deploying an application on AWS Elastic Beanstalk, and integrating with a cloud database (MongoDB Atlas) as well as a variety of webservices.
Advanced skills with analytical functions in Microsoft Excel and dashboards in Tableau
Familiar with the Salesforce development framework including skills in Apex, DML, SOSL, SOQL, and Lightning Web Components
Eastern University's Master's in Data Science program offers a rigorous and comprehensive curriculum that takes students from foundational concepts to advanced applications in the field. The program covers essential areas including statistical modeling, machine learning, data visualization, and programming in Python and R, with a strong emphasis on practical skills and real-world data analysis. Students progress through increasingly complex topics, culminating in advanced courses on machine learning, natural language processing, and a capstone project that integrates their learning. The curriculum also addresses the ethical implications of data science and AI, ensuring graduates are well-rounded professionals. This structured approach prepares students for the demands of the rapidly evolving data science landscape in both academic and industry settings.
The AZNext Full Stack Developer Academy, in partnership with the Cognizant Skills Accelerator, is a rigorous, tuition-free, 14-week program designed to equip participants with hands-on experience in full-stack development. The curriculum covers essential technologies such as Java, HTML, CSS, JavaScript, SQL, and microservices. Participants engage in weekly projects and build a final full-stack web application. The program fully prepares graduates for potential careers as full-stack engineers. Ideal for individuals looking to upskill or retrain, the academy offers extensive support and resources throughout.
Gained real world, hands-on experience in developming and configuring salesforce applications that will provide preparedness for the Salesforce Platform Developer credential exam by using Salesforce's Trailhead learning system faciliated by ASU faculty and supported by ASU coursework and guest lecturers from Deloitte.
Coursework included foundational studies in statistical data analysis and the scientific method as well as courses in the physical sciences, software engineering, and GIS.
I am proud to have attended a high school that consistently ranks among the best in the nation! When I attended, coursework included Microsoft Certified Application Specialist and A+ certification, as well as courses in SQL and Java.
Product Engineering Intern (Present)
Collaborating with a very small team to bring a Generative AI-driven SaaS product in the Design Automation space to market
Kitchen Manager (June 2022 - October 2023)
Chef/Founder (September 2021 - March 2022)
Awarded: Mar 15, 2024
Awarded To: Mark Bochner