Experience

ReferralExchange

• United States
• Real Estate
• 1 - 100 Employee

• Senior Data Engineer

  • Dec 2022 - Present

  San Francisco Bay Area

• Data Engineer

  • Mar 2021 - Nov 2022

  San Francisco Bay Area - Manage the data platform including the distributed task orchestration system for data ingestion, storage, transformation, and serving [stack: AWS, Docker, Python, Jupyter, Celery, Redis, Bash, Git]. - Design and ship over 50 data pipelines (ETL/ETL) to move terabytes of data into the data warehouse and lake for downstream processing by Analytics, ML, Business, Engineering, and Operations teams. - Collaborate with Product, Engineering, Data Science, and Executive teams to deliver… Show more - Manage the data platform including the distributed task orchestration system for data ingestion, storage, transformation, and serving [stack: AWS, Docker, Python, Jupyter, Celery, Redis, Bash, Git]. - Design and ship over 50 data pipelines (ETL/ETL) to move terabytes of data into the data warehouse and lake for downstream processing by Analytics, ML, Business, Engineering, and Operations teams. - Collaborate with Product, Engineering, Data Science, and Executive teams to deliver medium-to-large scale data-driven services that require multiple months of effort, prioritization, and teamwork. - Lead efforts to integrate data engineering lifecycle best practices into the Company's data culture, including educating and training teams on DataOps, Data Management, Data Governance, Data Orchestration, and Data Discovery. - Share responsibility for managing the Company's AWS infrastructure with a team of 3 lead engineers . - Built custom NLP models and text processing algos for entity detection, extraction, matching, and clustering on mission-critical data improving data accuracy by ~9% [stack: Docker, Python, SpaCy, Tensorflow, NetworkX, AWS Athena/Presto, SciPy, Pandas, NumPy, RegExp].



Breakout Mentors

• United States
• Education Management
• 1 - 100 Employee

• Director of Machine Learning

  • Jan 2020 - Present

  San Francisco Bay Area Creator + Director of the ML & Data Science Academy @ Breakout Mentors - Curriculum: Created and maintain an applied ML curriculum that is approachable for students from diverse experience levels (including high school to upper-division college math/CS). - Growth: Developed marketing strategies and product roadmap delivering a 210% YoY annual increase in customers. - Hiring + Managing: identify, interview, hire, develop, and support a team of machine learning mentors (team of… Show more Creator + Director of the ML & Data Science Academy @ Breakout Mentors - Curriculum: Created and maintain an applied ML curriculum that is approachable for students from diverse experience levels (including high school to upper-division college math/CS). - Growth: Developed marketing strategies and product roadmap delivering a 210% YoY annual increase in customers. - Hiring + Managing: identify, interview, hire, develop, and support a team of machine learning mentors (team of 7-15). - Student Success: pair students with mentors, ensure instruction quality, conduct regular check-ins with customers and collect feedback, stay on top of AI/ML industry trends and tools.

• Computer / Data Science Instructor

  • Aug 2018 - Jan 2020

  San Francisco Bay Area - Created the Breakout Mentors Intro to Deep Learning curriculum which aims to be accessible to both novice and advanced programmers. By the end of the course, students can build deep neural networks to solve various problems. For example, image classification and house price prediction. - Mentored programming students ranging from middle school to high school in Python (beginner to advanced). - Taught and explained basic programming logic and Python language syntax as well as coding… Show more - Created the Breakout Mentors Intro to Deep Learning curriculum which aims to be accessible to both novice and advanced programmers. By the end of the course, students can build deep neural networks to solve various problems. For example, image classification and house price prediction. - Mentored programming students ranging from middle school to high school in Python (beginner to advanced). - Taught and explained basic programming logic and Python language syntax as well as coding best practices, including debugging techniques, code organization, and documentation.



MAGICS Lab

• Indonesia
• Research Services
• 1 - 100 Employee

• Machine Learning & Information Retrieval Researcher

  • Jan 2018 - Jan 2022

  San Francisco Bay Area - Contributing research on deep learning for music signal processing with a focus on automatic music tagging, multi-label genre classification, and generative music composition using Transformers and convolutional networks, advised by Professor David Guy Brizan. - Created a novel deep neural network architecture to capture long-term dependencies in raw waveform signals that outperforms current SOTA models (as of Jan. 2021) on several benchmark multi-label music tagging datasets (1%+… Show more - Contributing research on deep learning for music signal processing with a focus on automatic music tagging, multi-label genre classification, and generative music composition using Transformers and convolutional networks, advised by Professor David Guy Brizan. - Created a novel deep neural network architecture to capture long-term dependencies in raw waveform signals that outperforms current SOTA models (as of Jan. 2021) on several benchmark multi-label music tagging datasets (1%+ improvement). - Curated a new multi-label genre dataset with 100k+ songs from Spotify’s curated genre playlists - Developed web scrapers to collect song lyrics from Genius.com. - Reimplemented state-of-the-art (SOTA) deep neural network architectures for music tagging and generation. Show less



Stealth Startup

• India
• Financial Services

• Co-Founder / Data Scientist

  • Apr 2019 - Mar 2021

  San Francisco, California, United States Music tech company providing record labels access to cutting-edge AI and data science to filter out the noise and discover emerging talent in the music industry. The software and algorithms I created helped discover artists such as Still Woozy, Chelsea Cutler, Dominic Fike, Tones and I, and more before they achieved major label success. Our software processed many terabytes worth of industry data daily and was used by all three major record labels (UMG, Sony Music, and WMG). I developed… Show more Music tech company providing record labels access to cutting-edge AI and data science to filter out the noise and discover emerging talent in the music industry. The software and algorithms I created helped discover artists such as Still Woozy, Chelsea Cutler, Dominic Fike, Tones and I, and more before they achieved major label success. Our software processed many terabytes worth of industry data daily and was used by all three major record labels (UMG, Sony Music, and WMG). I developed the original idea and built the algorithms, distributed system, cloud infrastructure, web interface, and API. I also oversaw product planning and managed our relationships with VCs, record labels, and partners. Show less



HCI Lab USFCA

• Human Computer Interaction Researcher

  • Jan 2019 - Jun 2020

  San Francisco Bay Area - Contributed research about designing intelligent haptic learning systems with applications to music, communication, and rehabilitation. - Developed an “intelligent” haptic learning system consisting of a dynamic haptic glove, a midi piano keyboard, and a computer interface. The above system effectively improved learning speed and long-term retention for the majority of subjects (N=20). - Constructed machine learning models to “intelligently” adjust the haptic lesson (i.e., speed and… Show more - Contributed research about designing intelligent haptic learning systems with applications to music, communication, and rehabilitation. - Developed an “intelligent” haptic learning system consisting of a dynamic haptic glove, a midi piano keyboard, and a computer interface. The above system effectively improved learning speed and long-term retention for the majority of subjects (N=20). - Constructed machine learning models to “intelligently” adjust the haptic lesson (i.e., speed and intensity of tactile feedback) based on real-time user data. Show less



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• Data Science Research Intern

  • Mar 2018 - Jun 2020

  San Francisco Bay Area - Applied data science tools to cardiovascular-related disease data at Stanford's Gozani Lab. - Built data visualization tools with d3, node.js, javascript, R, and jQuery - Created data pipelines to access relevant cardiovascular disease data. - Developed various machine learning algorithms to recognize control and disease groups in cardiovascular disease studies.



Quiltomics

• United States
• Research Services

• Data Scientist & Technical Staff Lead

  • Mar 2018 - Jun 2019

  San Francisco Bay Area - Hired and managed a cross-functional technical staff team of 4 members. - Built a large-scale database of human genomics data. - Sourced, processed, and served bioinformatics data. - Developed data visualizations useful for bioinformaticians and medical researchers. Tools & languages used: R, Python, SQL (Postgres), javascript, d3, HTML



Stuart Hall School

• United States
• Education
• 1 - 100 Employee

• Assistant Varsity Wrestling Coach

  • Oct 2016 - May 2018

  San Francisco Bay Area - Designed a year-round training regimen, ran practices (3-5 days/wk), and coached wrestlers at tournaments. - Communicated team + individual athlete goals with athletes, parents, and school staff members (75-90 people). - Focused on leading by example to teach my wrestlers about the importance of working hard, staying disciplined, building self-confidence, and developing a community.



Level Gaming LLC

• United States
• 1 - 100 Employee

• Full Stack Developer

  • Jul 2017 - Mar 2018

  San Francisco Bay Area - Constructed backend infrastructure using Django, Python, PostgreSQL, Apache Web Services, and Google Cloud Platform. - Designed and developed frontend infrastructure using HTML, JavaScript, CSS, and Bootstrap - Co-authored software for embedding YouTube videos and accessing e-sports news through APIs.



eFin.com

• Associate

  • Oct 2015 - Aug 2016

  San Francisco Bay Area - Performed financial analysis of publicly listed small-cap companies, especially within the energy sector. - Generated content for eFin.com's blog. - Contacted potential customers. - Organized data pipelines to manage new feature requests. - Responded to clients’ questions. - Contributed improvements to efin.com's UI.



Stifel Financial Corp.

• United States
• Financial Services
• 700 & Above Employee

• Intern

  • Sep 2015 - May 2016

  Greater San Diego Area - Learned the responsibilities of a financial manager - Performed basic financial analysis - Gathered and processed data in Excel - Created market sector research reports and presented them to financial managers