Diego Kiedanski, Phd
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Diego Kiedanski, Phd Email & Phone Number

Founding AI Engineer, Customer Facing at LlamaIndex
Location: New Haven, Connecticut, United States 19 work roles 3 schools
1 work email found @llamaindex.ai LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Founding AI Engineer, Customer Facing
Location
New Haven, Connecticut, United States
Company size

Who is Diego Kiedanski, Phd? Overview

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Diego Kiedanski, Phd is listed as Founding AI Engineer, Customer Facing at LlamaIndex, a company with 73 employees, based in New Haven, Connecticut, United States. AeroLeads shows a work email signal at llamaindex.ai and a matched LinkedIn profile for Diego Kiedanski, Phd.

Diego Kiedanski, Phd previously worked as Director, AI for Good at Tryolabs and Director, AI Consulting at Tryolabs. Diego Kiedanski, Phd holds Doctor Of Philosophy - Phd, Mathematical Models For The Energy Transition from Institut Polytechnique De Paris.

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{first}@llamaindex.ai
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Profile bio

About Diego Kiedanski, Phd

With over 5 years of experience in data science, optimization, and machine learning, I am passionate about applying mathematical models and AI techniques to address the climate emergency. As an AI Solutions Architect at Tryolabs, I design and develop cutting-edge solutions for clients across various industries, leveraging my expertise in data analysis, optimization models, and machine learning frameworks. I am also a founder at Carbon13, the venture builder for the climate emergency, where I collaborate with other talented and ambitious founders to launch a venture with the potential to reduce emissions by 10 million tonnes per annum.In my current role at Tryolabs, I work with a team of AI experts and engineers to deliver end-to-end AI solutions, from ideation and prototyping to deployment and scaling. I use my skills in data science, optimization, and machine learning to create innovative and impactful solutions that meet the client's needs and expectations. Some of the projects I have been involved in include optimizing energy consumption and storage for smart grids, developing natural language processing models for sentiment analysis and chatbots, and building computer vision systems for object detection and face recognition. I enjoy working with a diverse and collaborative team that values quality, creativity, and customer satisfaction.

Listed skills include Docencia, Docencia Universitaria, Desarrollo Curricular, and Ciencias.

Current workplace

Diego Kiedanski, Phd's current company

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LlamaIndex
Llamaindex
Founding AI Engineer, Customer Facing
Montevideo, UY
Website
Employees
73
AeroLeads page
19 roles

Diego Kiedanski, Phd work experience

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Founding Ai Engineer, Customer Facing

Montevideo, UY

Director, Ai For Good

Current
Aug 2024 - Present

Director, Ai Consulting

New Haven, Connecticut, United States

Jan 2024 - Aug 2024

Ai Solutions Architect

Mar 2023 - Dec 2023

Lead Machine Learning Engineer

Montevideo, Uruguay

Tryolabs is specialized in providing AI-related consulting services. This process is holistic in that it can range from the initial value proposition identification to the deployment of working systems.My role within the company was quite versatile as it ranged from hands-on tasks such as software development and data analysis, client-relationship.

Jul 2021 - Dec 2021

Machine Learning Engineer

Montevideo, Uruguay

Feb 2021 - Jul 2021

Cohort 4 - Founder

Cambridgeshire, England, United Kingdom

I have joined Cohort 4 of Carbon13, the venture builder for the climate emergency. I will be part of a cohort of 100 founders, including scientists, entrepreneurs, corporate innovators, developers, and data scientists. We will form cofounding teams and launch a venture with the potential to reduce emissions by 10 million tonnes per annum.

Sep 2022 - Jan 2024

Professor

Montevideo, Uruguay

I teach a postgraduate course on Commerical Strategies using Data and AI.

May 2021 - Dec 2023

Postdoctoral Associate

New Haven, Connecticut, United States

My research lies at the intersection of applied machine learning, distributed systems and networks.In particular, I have been working on Decentralized Federated Learning.

Feb 2022 - Sep 2022

Adjunct Professor

Montevideo, Uruguay

I taught a course titled "Analysis of Graph Networks". The course is oriented at last-year undergraduate and master students.As part of my role in the course I update the practical assignments to include Graph Neural Networks, but I also took part in teaching and grading.

Mar 2021 - Jan 2022

Optimization Engineer

Antwerp, Flemish Region, Belgium

As part of my role as an optimization engineer, I was in charge of the development and competition of an ongoing publicly funded project focused on local flexibility services, enabled by smart batteries and electric vehicles. This project required the use of state-of-the-art optimization software and methods. I also took part in designing a test pilot for.

Aug 2020 - Jan 2021

Doctoral Student

Paris, Ile-de-France, France

Grid flexibility refers to the ability of consumers to change their energy consumption patters in response to requirements of the power grid. It will play a key role in enabling renewable energy resources (such as wind and solar) in the next decades.My research focuses on the design of incentives that increase grid flexibility in a profitable and reliable..

Jan 2019 - Dec 2020

Research And Development Engineer

Paris, Ile-de-France, France

My research focused on Local Energy Markets in the context of the energy transition.I extended the work of previous researchers in the group by looking at:* Truthful double auctions for energy trading* Applications of reinforcement learning techniques in the context of energy trading. Consumers need to learn how to operate energy storage to minimize the.

Apr 2018 - Dec 2018

Teaching Assistant

Montevideo, Uruguay

Department of Computer Science.Courses taught:* Logic* Computer ArchitecturesI was in charge of lecturing, grading, planning and designing evaluations.I proposed the compete redesign of the practical assignment to better match the expected competencies of students after the course.

Oct 2015 - Dec 2017

Teaching Assistant

Montevideo, Uruguay

Department of Mathematics.Courses taught:* Linear Algebra I* Calculus I* Discrete Mathematics I* Numerical MethodsI was in charge of lecturing, planning, grading and designing exams.I designed and deployed automated testing procedures that are still in use today in courses with more than one thousand students.

Mar 2015 - Dec 2017

Mathematics Teacher

Colegio Nacional José Pedro Varlla

Montevideo, Uruguay

Pre-calculus level. The course is taken two years before university.

Mar 2014 - Dec 2015

Mathematics Teacher

Pre/U

Montevideo, Uruguay

Pre - calculus level. The course is taken two years before university.

Mar 2014 - Dec 2015

Mathematics Tutor

Pre/U

Montevideo

Institutional tutorship program. Level: calculus and pre-calculus

Aug 2013 - Nov 2013
3 education records

Diego Kiedanski, Phd education

FAQ

Frequently asked questions about Diego Kiedanski, Phd

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What company does Diego Kiedanski, Phd work for?

Diego Kiedanski, Phd works for LlamaIndex.

What is Diego Kiedanski, Phd's role at LlamaIndex?

Diego Kiedanski, Phd is listed as Founding AI Engineer, Customer Facing at LlamaIndex.

What is Diego Kiedanski, Phd's email address?

AeroLeads has found 1 work email signal at @llamaindex.ai for Diego Kiedanski, Phd at LlamaIndex.

Where is Diego Kiedanski, Phd based?

Diego Kiedanski, Phd is based in New Haven, Connecticut, United States while working with LlamaIndex.

What companies has Diego Kiedanski, Phd worked for?

Diego Kiedanski, Phd has worked for Llamaindex, Tryolabs, Carbon13, Universidad De Montevideo, and Yale University.

How can I contact Diego Kiedanski, Phd?

You can use AeroLeads to view verified contact signals for Diego Kiedanski, Phd at LlamaIndex, including work email, phone, and LinkedIn data when available.

What schools did Diego Kiedanski, Phd attend?

Diego Kiedanski, Phd holds Doctor Of Philosophy - Phd, Mathematical Models For The Energy Transition from Institut Polytechnique De Paris.

What skills is Diego Kiedanski, Phd known for?

Diego Kiedanski, Phd is listed with skills including Docencia, Docencia Universitaria, Desarrollo Curricular, and Ciencias.

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