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About Me

Staff Software Engineer

Hey, I'm Tobby, I live in Denver, CO with my wife and pug Strawberry. I'm a staff software engineer at manifold.ai where I work on the Core Services team.

I started my career as a machine learning engineer having been very fascinated by it in college. When I got a big boy job in tech, I realized my physics PhD coworkers were way better than me at math stuff and at the same time the allure of building software beckoned -- the instinct so strongly trained during my years in undergrad and grad school.

At some point, I began recognizing things I learned in my CS degree out in the wild. A coworker (much more senior than I) once paired on debugging a complex networking problem one of our services was having and it clicked in that moment: that networking course I took was useful after all (and all those other classes). Ever since, I've been obsessed with building software and overthinking how a solution could be better.

Lately, I am at the intersection of leading a small pod of engineers and individually contributing to large architectural endeavors. I enjoy the fast pace and opportunities for ownership that startups offer while also working with small and experienced teams to serve customers and feeling energized about the work that I do.

Skills
  • Backend Development: FastAPI, Pydantic, SQLAlchemy, Auth0, OAuth 2.0, Model Context Protocol, Flipt
  • Cloud & Infrastructure: AWS (ECS, EC2, Lambda, ALB, WAF, IAM, CloudWatch, SQS, S3, RDS, DynamoDB, ElastiCache, Route 53, SageMaker, OpenSearch, API Gateway), Terraform, Docker, Packer, GitHub Actions
  • Data Engineering: Snowflake, PostgreSQL, dbt, Alembic, Airflow, OpenMetadata
  • Languages: Python, TypeScript, Go, SQL, Bash, C++
  • ML & AI: PyTorch, RAG, LLMs, Anthropic & OpenAI APIs
Things I'm Into
  • Meandering about antique malls looking at vintage stuff
  • Aimlessly scrolling Facebook marketplace, driving to new undiscovered parts of CO for finds
  • Amateur bird-watching with my wife
  • Watching movies, mostly horror (the good and the bad)
  • Reading and often not finishing books, mostly on tech
  • Thinking about and often not starting side projects