“Mark is a bright student who came in with no experience in the technologies we utilize and no practical experience as a member of a scrum team but exited his internship as a valuable, contributing member of the team. Mark was not given a 'pet project' but rather was on a scrum team with 6 other engineers building a serverless application in AWS with a fully automated QA and CI/CD pipeline. I'll be looking forward to having him on the team again next year.”
About
Hi I'm Mark, I’m a software engineer interested in Agentic Workflows, Observability, API…
Experience
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Education
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The Ohio State University
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Activities and Societies: OSU Psychedelic Research Association
I studied Computer Science and Engineering with a focus on Software Engineering.
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Licenses & Certifications
Volunteer Experience
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Volunteer
Mutual Aid
- Present 3 years 8 months
Social Services
An all-volunteer, city-wide mutual aid effort, organized neighborhood by neighborhood.
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Volunteer
Northwest Special Recreation Association (NWSRA)
Helped special needs children enjoy a day in their own version of the Olympics. Brought smiles, hugs, and helping hands to those who were a little less abled.
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Volunteer
CRY - Child Rights and You
- 1 year 1 month
Children
I fundraised and help setup two CRY Walk for Child Rights events.
Courses
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Analog Systems and Circuits
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Computer Game Animation
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Computer Networking
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Data Structures and Algorithms
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Discrete Structures
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Economics - Engineering
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Engineering Ethics
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Foundations of Higher Math
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Information Security
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Intro to Digital Logic
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Intro to Low-Level Programming and Computer Organization + Operating Systems
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Introduction to Artificial Intelligence
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Linear Algebra
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Linguistics
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Multivariate Calculus
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Principles of Programming Languages
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Software Development and Design
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Statistics for Engineers
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Projects
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AI Agent / Agentic Workflow - Weatherman AI
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I wanted to create an Agentic Workflow to fully automate news weather video creation. This AI Agent gets a 3 day forecast, generates a script to deliver the news, generates an image to use as a background containing the day, high/low temps, weather conditions, and icons, and finally generates a video of a weatherman delivering the script while standing in front of a background containing weather details. The idea is that weather-related news is something AI can easily handle. I'm not out here…
I wanted to create an Agentic Workflow to fully automate news weather video creation. This AI Agent gets a 3 day forecast, generates a script to deliver the news, generates an image to use as a background containing the day, high/low temps, weather conditions, and icons, and finally generates a video of a weatherman delivering the script while standing in front of a background containing weather details. The idea is that weather-related news is something AI can easily handle. I'm not out here advocating that we should replace weathermen, meteorologists, and news weather with AI. But considering that Weather is unbiased, it could be a great candidate.
I created a private API using Go whose endpoints would be hit by a Python script running as a cron job. I hosted it in a Docker container in an EC2 instance. The application interacts with external APIs for weather, script generation, and video generation. It handles image creation and uploading.
This is also the first time I've been serious about tracking the time I've spent working on a project. I spent 33.5 hours working on this. -
Generative AI + LLMs meets Recruiting (Hirewise AI)
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Front End: Next.js (React) and TailwindCSS + Tailwind UI
Back End: Serverless via API Gateway (REST) + AWS Lambda (Python)
Storage: S3 and Amazon RDS (Serverless Aurora PostgreSQL)
Hosting: Working on multi-region deployment and orchestration via Docker and Kubernetes. I plan on
implementing load balancing via an ingress controller + HPA. (I'm considering ECS and EKS. I'm also considering OpenTelemetry / Prometheus / Grafana for logging and metrics)
Supercharge your…Front End: Next.js (React) and TailwindCSS + Tailwind UI
Back End: Serverless via API Gateway (REST) + AWS Lambda (Python)
Storage: S3 and Amazon RDS (Serverless Aurora PostgreSQL)
Hosting: Working on multi-region deployment and orchestration via Docker and Kubernetes. I plan on
implementing load balancing via an ingress controller + HPA. (I'm considering ECS and EKS. I'm also considering OpenTelemetry / Prometheus / Grafana for logging and metrics)
Supercharge your recruitment process. This SaaS harnesses the potential of Large Language Models and Generative AI, powered by GPT-3.5, to effortlessly compare resumes and job descriptions. -
roulette-bet-chrome-ext
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https://github.com/lycoris11/roulette-bet-chrome-ext
Automated roulette betting:
-Fully Automated
-Lightweight
-Self Optimizing
Languages
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English
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Spanish
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Hindi
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Recommendations received
1 person has recommended Mark
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