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Hooman (Adam) Mohammadi

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Summary

Highly motivated and experienced software engineer with a strong background in machine learning, artificial intelligence, and cloud computing. Proficient in a range of programming languages, including Python, Java, and C++. Strong understanding of cloud platforms, including AWS and GCP.

Work Experience

Momento AI (2023-Present)

  • Technical Founder
  • Built a hybrid multi-cloud mapping and migration platform using Docker/Kubernetes and Terraform CLI tools with different SDKs in Python, Go, and Java.

Amazon Web Services (2022-2023)

  • Software Development Engineer, L5
  • Contributed to the design of fraudulent detection within in-house service processing as part of the AI initiatives.
  • Achieved 75% latency optimization while enhancing payment transactions pagination for global customers.

Coinbase (2021-2022)

  • Software Protocol Engineer
  • Reduced the cost of customer nodes (Participation, Query & Transact) by half for on-chain validators.
  • Researched blockchain infrastructure for Zero Knowledge (ZKML), Bitcoin (forks) & Tendermint protocol.

TikTok (2020-2021)

  • Software Engineer R&D
  • Designed data-driven systems for client-side rendering and personalized ads content recommendation engine.

Magic Leap (2019-2020)

  • Machine Learning Engineer
  • Implemented secure shared cloud services to scale heavy spatial computations of augmented reality (AR).
  • Designed a computer vision model using RCNN to detect and redact faces on Magic Leap One AR devices.

Moody's Analytics (2018)

  • Data Scientist Intern
  • Built random forest tree regression and categorical classification to predict leverage ratio, ratings, etc.

Amazon (2017)

  • Software Engineering Intern
  • Integrated new systems to handle large data inputs of about a million hosts from data centers racks.

Side Experience

Lexie.ai (2015-2016)

  • Technical Advisor
  • Helped onboard AI system for future of e-commerce using Smart Contracts tokenization & AI-copilot.

310.ai (2015-2016)

  • Founding Engineer
  • Built generative AI system & infrastructure for Biotech companies using Transformers, NLP & LLMs.

Mho, Inc (2015-2016)

  • Founder, CTO
  • Led the hybrid app product of AI chatbot using bidirectional recurrent convolutional neural network.

Education

University of California, Davis (2014-2018)

  • Bachelor of Science in Computer Science (Software Focused), ACM ICPC Participant

Projects

WLAN (2016)

  • Parallel M/M/1 queue server simulation of carrier sense multiple access collision avoidance.

Credit Loan (2018)

  • Kaggle ML competition to train predictive model using regressions.

Image Query (2019)

  • Deep learning search by k-means clustering with visual vocabulary correlations.

H Language (2019)

  • New language H with simple syntax with semantics of functional programming features.

PPoker (2020)

  • App interface for poker admin and cashier tasks including game scenarios.

Awards & Presentations

  • NFT Swap on Terra Platform, 1000 UST grant @ Miami Hack Week (MHW) - 2021

  • Guest Speaker for Lyvo Bootcamp @ Online Zoom Webinar - 2020

  • Guest Speaker for Geekle Python Global Summit @ Online Streaming - 2020

  • Magic Leap Internal Magic Verse Jam Hackathon @ Florida HQ - 2019

  • Machine Learning Kaggle Competition Online Loan Advisor @ UCD - 2018

  • ASUCD Entrepreneurship Fund Grant ShaK Project - 2017

  • Prize Winner of Amazon Alexa Skill Educational Feed @ HackDavis - 2017

  • Collegiate Racquetball IM (Intermural) League Champion - 2016

  • ACM ICPC Programming Competition Participant @ Cal Berkeley - 2015

  • Piazza Hackathon Presentation @ Palantir: Application Platform - 2014

  • Finalist Santa Clara University Hackathon: Migo, Expedia for Philantropy - 2014

Programming Skills

  • Languages: Golang, Python, Javascript, C/C++, SQL, Java
  • Technologies: AWS, GCP, React, Kafka, Redis, SageMaker, Unix

Releases

No releases published

Packages

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