# Unique Divine

> Co-founder of Nibiru | Builder in Web3 and AI | Rust propagandist

Location: United States, United States
Profile: https://flows.cv/unique

## Work Experience
### Co-Founder, CEO, Lead Software Engineer @ Nibiru
Jan 2022 – Present

### Senior Software Engineer @ Sommelier Protocol
Jan 2021 – Jan 2022 | San Francisco Bay Area
Sommelier is a blockchain protocol for executing automated trading strategies on-chain.
❏ Leveraging: Golang, Cosmos SDK, Python, Solidity, TypeScript, Google Cloud Platform
❏ Creating and deploying live trading strategies for on-chain execution: Sommelier Protocol's Cellars.
❏ Indexing, organizing, and building APIs to serve event data emitted from smart contracts (AssemblyScript + GraphQL)
❏ Developing robust backtesting infrastructure and a scalable DeFi research pipeline

### Data Scientist @ IBM
Jan 2021 – Jan 2021 | New York, New York, United States
❏ Performed clustering and unsupervised topic modeling with survey responses for 2 IBM product teams
❏ Wrangled terabytes of data made up of click streams, product usage, and NPS data to derive actionable insights
❏ Regularly presented visualizations and results to stakeholders, the VP of Client Advocacy, and other leadership
❏ Leveraged: Sentence BERT, Latent Dirichlet Allocation (LDA), NLTK, Gensim, Plotly, PyTorch, SQL, IBM DB2

### Artificial Intelligence Engineer @ ApTSi
Jan 2020 – Jan 2021 | Lexington, Massachusetts, United States
❏ Developed novel ML applications to automate portions of the doctor-patient interaction with NLP
❏ Advised and implemented necessary DevOps changes with Docker and Kubernetes
❏ Wrote containerized applications, RESTful web microservices, and APIs with Spring Boot and Java
❏ Leveraged: Apache Spark (PySpark), Spring Boot, Java, Docker, Kubernetes, SQL, PostgreSQL, MongoDB, PyTorch

### Bioinformatics Researcher (Computational Genomics) @ Columbia University in the City of New York
Jan 2020 – Jan 2021 | New York City
❏ Applied neural networks with PyTorch to predict 3 phenotypes of Sprague Dawley rats based only on genetic variants (SNPs) and transcriptome wide associations
❏ Simulated rat genomes to create additional training data with generative adversarial networks (GANs), improving accuracy by 15%
❏ Utilized the High-Performance Computing cluster to leverage CUDA GPUs, interfacing with PyTorch Lightning
❏ Presented results in Columbia University’s Computer Science Research Colloquy
❏ Investigated deep learning's viability as a replacement for traditional polygenic risk metrics, benchmarking against 3 state-of-the-art classifiers - Under the supervision of Dr. Itsik Pe'er

### Undergraduate Researcher (Machine Learning) @ University of Illinois at Urbana-Champaign
Jan 2019 – Jan 2019 | Urbana-Champaign, Illinois Area
❏ Implemented convolutional neural networks to predict gravitational lensing parameters for use in cosmology research with Python (TensorFlow) upwards of several million times faster than traditional methods
❏ Added functionality for predictive modeling with custom architectures, ResNets, Inception-v4, AlexNet, and Overfeat
❏ Presented research results and wrote a report for this 10-week NSF REU with Dr. Joaquin Vieira

### Undergraduate Researcher (Astrophysics) @ Columbia University in the City of New York
Jan 2018 – Jan 2019 | New York, New York, United States
❏ Performed spectral reduction, a method for correcting artifacts and instrumental defects in stellar spectra
❏ Built fluency with Linux / UNIX, scripting with BASH and Python, and management of large datasets

### Undergraduate Researcher (Biophysics) @ Lehigh University
Jan 2017 – Jan 2017 | Bethelhem, PA
❏ Developed techniques for localization of single-walled carbon nanotubes inside of C17.2 neural stem cells.
❏ Worked extensively with Raman spectroscopy to analyze the effects of concentration size on cell health.
❏ Under the supervision of Dr. Slava Rotkin

### Sales Broker @ Houdek Enterprises, Inc
Jan 2016 – Jan 2016 | Desoto, Texas
❏ Negotiated with brokers to get the best rates for truck drivers, matching and eventually exceeding the performance of seasoned dispatchers → Over 40% revenue increase
❏ Dispatch: Communicated with suppliers, retailers, and customers to ensure timely freight deliveries
❏ Ensured that shipment and delivery of products went exactly according to client requirements


## Education
### Master of Science - MS in Applied Mathematics
Columbia University

### Bachelor of Science - BS in Engineering Physics/Applied Physics
Columbia University


## Contact & Social
- LinkedIn: https://linkedin.com/in/unique-divine
- Portfolio: https://unique-divine.github.io/

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Source: https://flows.cv/unique
JSON Resume: https://flows.cv/unique/resume.json
Last updated: 2026-03-29