EXPERIENCE

Ground Software Engineer Intern | Aug 2022 – Nov 2022

Astranis Space Technologies | San Francisco, CA
  • Improved low-latency microservice architecture, reducing satellite noise by 27%, leveraging customer centric mindset in redesign of the Flask backend, React front-end framework, and proprietary stream processor using Elasticsearch within agile team.
  • Proactively identified technical debt and resolving critical issues in Kubernetes deployments, enabling the system to recover and restart several minutes faster potentially preventing multi-million dollar satellite crashes.

Software Developer Intern | Mar 2021 – Nov 2021

Exploratory Systems Laboratory | Davis, CA
  • Launched ResilientBlog to articulate technical challenges, reducing colleague onboarding time from months to weeks through the publication of 22 insightful blog posts on distributed (multi-tiered) systems. This initiative played a crucial role in the successful proposal for the Apache Incubator, evidenced by 108 stars and 192 forks — https://go.alejandroarmas.dev/tU0gVJi

Research Scientist Intern | May 2020 - Aug 2020

Massachusetts Institute of Technology - Biology Summer Research Program | Remote, CA
  • Contributed to ML research by deliverying presentation on state-of-the-art reinforcement learning algorithms that learned from reward distributions instead of expected values by reviewing academic literature, proving theorems, and implementing algorithms using Numpy and deep learning frameworks like PyTorch. — https://go.alejandroarmas.dev/UrXJtxv

Intern - Interdisciplinary and Quantitative Biology REU | Jun. 2019 - Aug. 2019

Universidad de Puerto Rico, Rio Piedras | San Juan, Puerto Rico
  • Translated research needs of stakeholders into ML solution, by automating human categorization for large scale bee experiments, by leveraging statistical and experimental foundation using R, tidyr, and tibble
  • Communicated insights to key stakeholders by created visualizations with ggplot2. Poster presentation accepted at ABRCMS conference — https://go.alejandroarmas.dev/FUoMsov

PROJECTS

Traffic Prediction Service (Request Access for View) | May 2023 - Present

Tech: Ray, Docker, Terraform, DVC, S3, ONNX, Plotly

  • Developed a lineage-based cloud data storage solution to empower reproducible rigorous experimentation, improving data transmission speeds by 35x by leveraging DVC, docker-compose, and Parquet — https://go.alejandroarmas.dev/qKDhGU2
  • Identified and drove technical requirements insights for an online feature big-data architecture by deeply engaging with unstructured data using GroundingDINO, SAM, DPT, Plotly, OpenCV and CoTracker — https://go.alejandroarmas.dev/RXsjI5F
  • Built online ML feature pipeline and achieving a 8x scalable architecture using a message passing technology (Redpanda), with Avro serialization and creating features with Apache Flink in Java. Monitoring app through Prometheus and Grafana integration
  • Ensured strict data privacy by leveraging AWS IAM roles/policies, packaging dependencies using Poetry and Docker, and streamlining S3 deployment through Terraform and GitHub Actions — https://go.alejandroarmas.dev/LkQpB2H

some-dl-models | Jan 2023 - Apr 2023

Tech: PyTorch, comet ml, Poetry, ONNX, Github Actions

  • Trained models such as CNN, LSTM and GNN to achieve successful outcomes on CIFAR, Pubmed and Reddit datasets.
  • Drove operational excellence using strong foundation in coding for code quality; My efforts saved approximately 100 hours of productivity through automation with Poetry, static-analysis, unit-testing, and developing a CI/CD pipeline with GitHub Actions — https://go.alejandroarmas.dev/7hP863H

MLOPS Question + Answer Bot | Mar 2023 - Mar 2023

Tech: Relevence AI, Redis, OpenAI

  • Developed a LLM pipeline for Q/A using Redis Vector Search, achieving 3rd place at MLOps.community LLM SF Hackathon

Automatic Differentiation Backpropagation Engine | Dec. 2021 - Jun. 2022

Tech: C++20, C++17, C++14, OpenCilk, doctest, Catch2

  • Constructed engine to dynamically build directed acyclic graphs of tensors and computational operations at runtime. Each node contains a statically built finite state automata, for traversal policies such as gradient descent.
  • Achieved 142x speedup over naive Matrix Multiply and 10x speedup on transpose operations by implementing Parallel Divide and Conquer algorithms and representing matrices in row-major order for reduced cache misses.

D-Cash Wallet Web Server | May 2021 - Jun. 2021

Tech: C++, Stripe API, RapidJSON, POSIX threads, Git

  • Developed secure server wallet authentication, transfer, deposit, and charge issuance services, with integration of Stripe API.
  • Implemented consumer-producer multi-threaded client request concurrent processing scheme to improve latency.

Davis In-Order CPU | Mar 2021 - Jun 2021

Tech: Chisel, Scala, RISC-V, Python, Pandas and Matplotlib

  • Developed a comprehensive RV32I Pipelined CPU design using Chisel HDL, incorporating several functional units such as Branch Predictor, Hazard Unit, Forwarding Unit, ALU, ALU Control Unit, and Control Unit.
  • Conducted extensive simulations and analysis comparing the performance of single-cycle and pipelined designs. Utilized four different branch predictors and varied saturation bits over six workloads to create detailed visualizations.

Lineage-based Data Store | Jan 2021 - Apr 2021

Tech: Python, Git

  • Designed and drove team project to implement cutting edge relational database from academic literature. Built in-memory record indexing and in-memory management, resulting in a Top 5 performance using Python — https://go.alejandroarmas.dev/E7wKir1
  • Mediated system design for concurrency control, contention-free lazy record consolidation and data durability.

TECHNICAL SKILLS

Relevant Coursework:

Skills: C/C++20, Python, Rust, R, Risc-V, JavaScript, SQL (sqlite, postgres), \(\LaTeX\) , CSS, Markdown, HTML, Bash, Spanish Developer Tools: Kubernetes, Docker, Terraform, S3, EC2, Git, Azure, Github Actions, Github Codespaces, Ably

Libraries: NumPy, PyTorch, Pandas, Matplotlib, OpenCilk, doctest, Catch2, RapidJSON, Acme, Reverb, Gym

Honors and Achievements

Professional Memberships:

  • Scholar, NSF LSAMP/CAMP program at UC Davis (June 2021 - 2022)
  • Scholar, AvenueE - VIP Research Program (June 2021 - 2022)
  • Member, Artificial Intelligence Society at UC Davis (Jan 2020 - Jan 2021)
  • Member, NSF LSAMP/CAMP program at UC Davis (Dec 2019 - June 2021)
  • Member, UC Davis AvenueE 2019 Cohort (1 of 30 students) (Sept 2019 - 2022)
  • Member, Institute of Electrical and Electronics Engineers (IEEE)

Awards, Grants and Fellowships:

  • UC Davis ECE Undergraduate Travel Grant ($500)
  • AvenueE Travel Grant ($500)
  • ABRCMS Student Travel Award ($685.57)
  • UC Davis AvenueE Scholarship ($10500)
  • EOPS Perpetual Spirit Scholarship ($1000)
  • LMC Academic Competition scholarship ($500)
  • AvenueE Scholar Award ($1000)
  • LMC Academic Honors Spring 2019
  • LMC Dean’s List 2017-2019