Intelletec

Managing Consultant - Machine Learning, Data Science & AI

As a Principal Consultant I work on delivering all around great experiences.

I'm here to partner with talented professionals and share rewarding and fulfilling opportunities across Data Science & Analytics, Machine Learning and AI - collaborating with some of the most exciting and progressive start-ups in the United States.

Specialties:
- Data Science & Analytics (Junior, Senior, Lead, Staff Levels)
- Generative AI (LLMs, GANs/Diffusion Modeling)
- Data Engineering
- Machine Learning
- Research Science
- Data Science/ Analytics Leadership (Manager, Director, VP)

With a special focus on Data Science & Analytics we work with start-ups from (small and large) along with enterprise organizations.

Interested in connecting? Don't be shy! Reach out to me directly to learn about what we have available and how I can help!

Principal Consultant - Data Science & Analytics

Kforce Inc

Talent Director - Senior Technical Recruiter

ESPN

- Assisted with the production of the “Green and Gold Today” show
- Cut up & cleaned audio using Cool Edit Pro and uploaded to ESPNwisconsin.com via stationcaster
- Assisted in various marketing campaigns and promotional activities across Milwaukee
- Interviewed various local college coaches and players and compiled a podcast as final project
- Tasked with creating marketing plans and outreaching to local community

Show & Marketing Intern (540 ESPN/ Good Karma Brands)

International Sports Management, Inc.

Account Executive

Adam Oliver Brown

Adam Brown

Rohan J. Dani

Arno Murcia

Olena Bogdanov

Neel Bhagwat

Hi! We're Extend, and we're helping companies deploy in-house AI agents for processing unstructured data. Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to build, deploy, and monitor intelligent data processing agents to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).Here's a few of the complex technical problems we're working on:<ul><li>How do we enable enterprises to deploy AI agents into production with confidence?</li><li>How do we handle never before seen edge cases in customer data?</li><li>How do we build a self-correcting system that automatically gets better over time?</li><li>How do we enable non-technical domain experts to train AI agents with their expertise &amp; business logic?</li><li>How do we help customers make tradeoffs between latency, cost, and performance?</li><li>How do we build reliable systems that can process large data streams in real-time?</li></ul>

Co-Founder & CTO

Extend (YC W23)

Extend is enabling enterprises to deploy in-house AI agents for processing unstructured data. As an AI Engineer at Extend, you’ll design novel techniques, systems, and human ↔ AI interfaces for building LLM agents that operate on complex data streams. We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about empowering organizations with AI.We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).Here's a few of the complex problems you’ll be working on:<ul><li>How do we build a self-correcting system that automatically gets better over time?</li><li>How do we enable non-technical domain experts to train AI agents with their expertise &amp; business logic?</li><li>How do we deploy non-deterministic AI into mission-critical flows?</li><li>How do we help customers make tradeoffs between latency, cost, and performance?</li></ul>

Senior AI Engineer

About the role
Extend is enabling enterprises to deploy in-house AI agents for processing unstructured data. As an AI Engineer at Extend, you’ll design novel techniques, systems, and human ↔ AI interfaces for building LLM agents that operate on complex data streams.

We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about empowering organizations with AI.

IMPACT
We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex problems you’ll be working on:

How do we build a self-correcting system that automatically gets better over time?
How do we enable non-technical domain experts to train AI agents with their expertise & business logic?
How do we deploy non-deterministic AI into mission-critical flows?
How do we help customers make tradeoffs between latency, cost, and performance?
ROLE
Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to
Monitor existing agents in production, understand what’s working well (and what isn’t), and run experiments to solve those issues
Implement the best human ↔ AI interfaces for designing data processing agents. We are building a new territory of UX that previously did not exist. It’s up to us to discover and implement new patterns that work for our users.
Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.
Work directly with the CEO, CTO, and other founding members and help build out our team.
About Extend
Hi! We're Extend, and we're helping companies deploy in-house AI agents for processing unstructured data. Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to build, deploy, and monitor intelligent data processing agents to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.

We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex technical problems we're working on:

How do we enable enterprises to deploy AI agents into production with confidence?
How do we handle never before seen edge cases in customer data?
How do we build a self-correcting system that automatically gets better over time?
How do we enable non-technical domain experts to train AI agents with their expertise & business logic?
How do we help customers make tradeoffs between latency, cost, and performance?
How do we build reliable systems that can process large data streams in real-time?
TEAM
We're a small team of 5 that's fully in-person in NYC. Our backers include Homebrew, Innovation Endeavors, Character, and angels from OpenAI, Brex, Airbnb, Newfront, and more.

Qingchen Wang, Ph.D.

Melange is a venture-backed startup building a brand new search infrastructure for the patent system. Leveraging recent and ongoing advancements in machine learning and natural language processing, we are building systems to conduct patent search faster and more accurately than any human currently can. We are a small team with a friendly, mostly-remote culture. The company is well capitalized, having raised 9.1 million dollars in a Series Seed led by Greenoaks Capital.

Melange

At Melange, we are using LLMs to build a tool that will help lawyers and examiners evaluate the validity of any patent with greater accuracy at a fraction of the cost.Leveraging recent and ongoing advancements in machine learning and natural language processing, you will be building systems to conduct patent search faster and more accurately than any human currently can. We are a small team with a friendly, mostly-remote culture. The company is well capitalized, having raised 9.1 million dollars in a Series Seed led by Greenoaks Capital.

Machine Learning Scientist

It's only in person in New York as we have an office. But we have employees in Los Angeles, San Francisco, Austin, and Boston.

Similar Recruiters

Start your search today.