Founder
Achievements
I have been an early and significant part of two rocket ship startups. I have started and sold my own companies.
Describe the most impressive thing you've done.
Skills
Locations
Travis Giggy
Head of Product & Tech, VC Lab • Founder, Akin AI • Founder, Swing by Swing (sold company 2014) • Early employee, @legalzoom.com
Head of Product & Tech, VC Lab • Founder, Akin AI • Founder, Swing by Swing (sold company 2014) • Early employee, @legalzoom.com
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Experience
Exit
Carryout.com
Founder
Advisor
Head of Product and Technology
Akin.com
Co-founder / CTO
Conversational AI to connect people to caretakers, support organizations, and their broader ecosystem.
Co-founded company, raised VC. Discovered Product/Market Fit... more for Home AI via user testing with concierge tests and prototypes. Hired/managed a small team of applied AI engineers (3) and Ph.D. researchers Leveraged USE, BERT, to create models to predict personality from everyday conversation. Created a DAG-based expert system with memory for conversational interactions.
- Conceptualized Company and Raised MM Venture Capital ─ Together with a legendary co-founder, projected the future of technology, created an appropriate story, built presentation decks, and networked with VCs to sell the idea and raise capital.
- Created the World's First Personality Prediction Models ─ Hired a cross-functional team of AI engineers and a psychologist, trained algorithms to predict personality traits during conversation in order to improve connection with the user.
- Constructed a Management Framework to run a High-Performing Product Team across 3 Continents ─ An international company from the start, produced a structure emphasizing Vision Documents, Product Roadmaps, Video Check-Ins, Appropriate Communication Channels, and Written Documentation captured in a centrally accessible location.
- Implemented a prototype-driven product discovery process ─ Followed a Value/Usability/Feasibility/Business (VUFB) Framework and conducted 100’s conversations with enterprises, government officials, and individual consumers to create a new social impact product.
- Created Home Assistant Prototypes ─ With Raspberry Pi + flat-screen television, installed in family kitchens, and iterated several times until discovering a product/market/business fit in the disability home caregiver space to create a product which could support a venture scale company.
Tech stack: Google Cloud, Node.js, JavaScript, Python, ArangoDB graph database, Bootstrap. Facebook, Slack APIs.
Co-founded company, raised VC. Discovered Product/Market Fit... more for Home AI via user testing with concierge tests and prototypes. Hired/managed a small team of applied AI engineers (3) and Ph.D. researchers Leveraged USE, BERT, to create models to predict personality from everyday conversation. Created a DAG-based expert system with memory for conversational interactions.
- Conceptualized Company and Raised MM Venture Capital ─ Together with a legendary co-founder, projected the future of technology, created an appropriate story, built presentation decks, and networked with VCs to sell the idea and raise capital.
- Created the World's First Personality Prediction Models ─ Hired a cross-functional team of AI engineers and a psychologist, trained algorithms to predict personality traits during conversation in order to improve connection with the user.
- Constructed a Management Framework to run a High-Performing Product Team across 3 Continents ─ An international company from the start, produced a structure emphasizing Vision Documents, Product Roadmaps, Video Check-Ins, Appropriate Communication Channels, and Written Documentation captured in a centrally accessible location.
- Implemented a prototype-driven product discovery process ─ Followed a Value/Usability/Feasibility/Business (VUFB) Framework and conducted 100’s conversations with enterprises, government officials, and individual consumers to create a new social impact product.
- Created Home Assistant Prototypes ─ With Raspberry Pi + flat-screen television, installed in family kitchens, and iterated several times until discovering a product/market/business fit in the disability home caregiver space to create a product which could support a venture scale company.
Tech stack: Google Cloud, Node.js, JavaScript, Python, ArangoDB graph database, Bootstrap. Facebook, Slack APIs.
Two Six Capital
Head of Engineering
Data Science for due diligence and value creation in Private Equity
Expert level data engineering manager. Ingest, clean, structure, and analyze billions of rows of... more data. Created a high-quality data engineering hiring funnel via local universities and internships.
- Turned-Around the Tech Team and Infrastructure ─ To counter a standstill, installed a secure, high performance, cost-efficient new data infrastructure on AWS, turned over non-performing Data Engineers and Scientists and created a new data pipeline for ingesting, cleaning, and preparing data for analysis.
- Executed on 200% more business compared to the 12-months Before Arrival ─ With a 50% Cost Reduction in tech infrastructure. In 16 months analyzed $70B of transaction revenue, to help Clients Close $11B Of Private Equity Transactions.
- Strengthened Talent Pipeline to Attract High-Quality Data Scientists ─ Created an internship program from leading Data Scientists programs, received applications from 100’s of graduating students from Stanford, UPenn, Carnegie Mellon, more.
- Interviewed, Tested, and Hired a Group of 8 Interns ─ Created an onboarding program structured projects so they could contribute, and created opportunities for networking, fun, learning, and to be highly productive interns.
- Result ─ 4 offers to interns with 3 hired after graduation.
Tech Stack: AWS, Clustered Redshift, streaming Spark, Virtualenv, Jupyter Notebooks, Python, R, Looker. Statistical algorithms. BTYD, proportional hazards, retail, and subscription retention models (BG/BB, Pareto, SBG, ARIMA, etc.). Some machine learning like K-means clustering, regression.
Expert level data engineering manager. Ingest, clean, structure, and analyze billions of rows of... more data. Created a high-quality data engineering hiring funnel via local universities and internships.
- Turned-Around the Tech Team and Infrastructure ─ To counter a standstill, installed a secure, high performance, cost-efficient new data infrastructure on AWS, turned over non-performing Data Engineers and Scientists and created a new data pipeline for ingesting, cleaning, and preparing data for analysis.
- Executed on 200% more business compared to the 12-months Before Arrival ─ With a 50% Cost Reduction in tech infrastructure. In 16 months analyzed $70B of transaction revenue, to help Clients Close $11B Of Private Equity Transactions.
- Strengthened Talent Pipeline to Attract High-Quality Data Scientists ─ Created an internship program from leading Data Scientists programs, received applications from 100’s of graduating students from Stanford, UPenn, Carnegie Mellon, more.
- Interviewed, Tested, and Hired a Group of 8 Interns ─ Created an onboarding program structured projects so they could contribute, and created opportunities for networking, fun, learning, and to be highly productive interns.
- Result ─ 4 offers to interns with 3 hired after graduation.
Tech Stack: AWS, Clustered Redshift, streaming Spark, Virtualenv, Jupyter Notebooks, Python, R, Looker. Statistical algorithms. BTYD, proportional hazards, retail, and subscription retention models (BG/BB, Pareto, SBG, ARIMA, etc.). Some machine learning like K-means clustering, regression.
Senior Product Manager
Blockchain financial instruments for global trade
- Product Management for the Future of the Supply Chain Industry ─ Using Skuchain’s Blockchain Technology, launched... more their flagship Digital Letters of Credit product using a collaborative product discovery process to discover the technology’s core value and the regulatory environment it had to exist in.
- Champion, Company Evangelist & Public Speaking ─ To promote our fledgling company and product, networked to create speaking opportunities on 4 continents with 100’s of bankers. Accepted into Wells Fargo’s Accelerator Program, they became an investor and a pilot customer.
- Product Management for the Future of the Supply Chain Industry ─ Using Skuchain’s Blockchain Technology, launched... more their flagship Digital Letters of Credit product using a collaborative product discovery process to discover the technology’s core value and the regulatory environment it had to exist in.
- Champion, Company Evangelist & Public Speaking ─ To promote our fledgling company and product, networked to create speaking opportunities on 4 continents with 100’s of bankers. Accepted into Wells Fargo’s Accelerator Program, they became an investor and a pilot customer.
Exit
Founder
Swing by Swing was a native mobile app for iPhone and Android, launched in 2008. Over time, we became the world's most popular golf software, with nearly 3M registered users... more in 139 countries, representing ~10% of the worldwide golfing market. The company was sold to Back9Network in June 2014.
- Implemented Novel Business Model ─ Unproven at the time, the freemium model allowed us to give our app away for free, in exchange for user maps, data entry, and virality. Monetized with ads and upgrades. Within 6 months of launching, we had mapped 98% of the world’s golf courses, and in 5 years became the world’s most used golf software.
- Built an app that people loved, Rated 4.5 Stars on Apple App Store and Google Play ─ Created and launched a complicated application with a high-quality user experience by organizing and cultivating a group of devoted Beta testers, worked with engineering to create prototypes and new versions, and iteratively collect feedback and performance data.
- Created Mobile App Capturing 3 Million Users ─ As Co-Founder developed a popular app for the affluent golfer audience by using smartphones as a platform to offer a differentiated, valuable, and popular product to build a business on top of.
Tech stack: AWS, Heroku, GitHub, Java, Objective C, .Net, JavaScript, Ruby on Rails, SQL, Redis, Google APIs.
- Implemented Novel Business Model ─ Unproven at the time, the freemium model allowed us to give our app away for free, in exchange for user maps, data entry, and virality. Monetized with ads and upgrades. Within 6 months of launching, we had mapped 98% of the world’s golf courses, and in 5 years became the world’s most used golf software.
- Built an app that people loved, Rated 4.5 Stars on Apple App Store and Google Play ─ Created and launched a complicated application with a high-quality user experience by organizing and cultivating a group of devoted Beta testers, worked with engineering to create prototypes and new versions, and iteratively collect feedback and performance data.
- Created Mobile App Capturing 3 Million Users ─ As Co-Founder developed a popular app for the affluent golfer audience by using smartphones as a platform to offer a differentiated, valuable, and popular product to build a business on top of.
Tech stack: AWS, Heroku, GitHub, Java, Objective C, .Net, JavaScript, Ruby on Rails, SQL, Redis, Google APIs.
LegalZoom.com
Front End Engineer
I was the first technical architect for LegalZoom.com. I built much of the early code-base along with the founder, Eddie Hartman (see attached letter of recommendation), and... more watched the company grow from 18 to over 500 employees during my time.
Like most early employees of any company, I wore a lot of hats. At one time or another I was also responsible for
- Creating customer facing website
- Creating reporting infrastructure
- Conceptualizing and building the affiliate program
- SEO initiatives
- R&D / Disruptive models
- Project management
Primarily worked with ASP / .NET / SQL / Javascript
Like most early employees of any company, I wore a lot of hats. At one time or another I was also responsible for
- Creating customer facing website
- Creating reporting infrastructure
- Conceptualizing and building the affiliate program
- SEO initiatives
- R&D / Disruptive models
- Project management
Primarily worked with ASP / .NET / SQL / Javascript
RideOnTime.com
Co Founder
RideOnTime had the exact same business model as Uber and Lyft, but we started it before the mobile revolution, and w/o peer-to-peer drivers. We raised $500K and operated for... more approximately 2 years before shuttering.
Carryout.com
Co Founder
Carryout.com was the world’s first online food ordering and delivery service. You could order food from any local participating restaurant and have it delivered right to your... more door. Similar to Uber Eats, DoorDash, GrubHub, and Seamless today.
We invented several new ways to use technology, including software fax servers, real-time pager notifications, and automated phone calls with a text-to-voice engine.
We invented several new ways to use technology, including software fax servers, real-time pager notifications, and automated phone calls with a text-to-voice engine.
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