Ibrahim Ahmed

CEO

San Francisco, California, United States11 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-founded multiple successful AI startups.
Achieved rapid revenue growth with innovative AI products.
Expert in custom AI model training and deployment.

Stackforce AI infers this person is a leader in AI infrastructure and model optimization for enterprise applications.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Large Language Models (llm)

Other Skills

Prometheus.ioGrafanaWord EmbeddingsSGLang / vLLM / Ollama / TensorRT-LLM / llama.cppNATSLarge Language Model Operations (LLMOps)FundraisingStart-up LeadershipDistributed SystemsGPUPythonJavaTeamworkKotlinGit

About

CTO & Co-Founder @ Inference.net | Training and hosting custom AI models – 3.5 years @ Founders Inc. incubating startups in SF – Launched Leap (AI image API) → ~$1M ARR in 3 months – Built ultramail.ai (AI email assistant) → over 100k users in 6 months – Now scaling Inference.net We see AI companies scaling with Frontier Labs facing: – Collapsing margins from 80%+ to 60-70% as Inference costs stack up – Generic models not optimized for their use case causing high latency and churn – Vendor lock-in with models that change pricing or behavior without notice Our solutions: – Custom model training specialized for your use case – Dedicated inference infrastructure you own – Frontier-quality performance at fraction of the cost Every millisecond of GPU time = real money. I believe the future is owning specialized intelligence: Training custom models that match frontier quality for your specific use case, at economics that actually work. I post about: – Custom model training and economics – Inference optimization and GPU architecture – AI infrastructure at scale 👉 Reach out: abe@inference.net if you're spending $10K+/month on LLM APIs 👉 Visit: inference.net to see how we can train and host your model

Experience

11 yrs 11 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 11 mos

Current Experience

Inference.net

Co-Founder, CTO

May 2024 – Present · 1 yr 11 mos · San Francisco Bay Area · On-site

At inference.net, our team specializes in training and deploying AI models for large enterprises.
We're powering the inference of Fortune 500 companies and fast-growing startups.
Our models can completely replace leading models like GPT-5, Claude 4, and Gemini 2.5 by training models that are specialized on specific tasks. We also train models that are able to greatly enhance the performance of the frontier models using our "Savant" product, a method that utilizes specialized models to replace lossy embedding-based RAG pipelines with small models that are trained on vast amounts of data.
Our team is able to serve these models at scale in our private cloud, on-prem, or in hybrid environments across the globe. Our proprietary inference stack achieves best-in-class performance with 99.99% uptime with blazing fast token-per-second performance.
https://inference.net

Prometheus.ioGrafanaWord EmbeddingsArtificial Intelligence (AI)SGLang / vLLM / Ollama / TensorRT-LLM / llama.cppNATS+2

Ultramail

Co-Founder

Aug 2023 – Apr 2024 · 8 mos · San Francisco Bay Area · On-site

Built an AI native email experience from the ground up and scaled to over 100k users organically.
https://ultramail.ai

Founders, inc.

2 roles

Studio Founder

Promoted

Jan 2023 – May 2024 · 1 yr 4 mos · On-site

Prometheus.ioGrafanaWord EmbeddingsArtificial Intelligence (AI)SGLang / vLLM / Ollama / TensorRT-LLM / llama.cppNATS+2

Founding Engineer

May 2021 – Apr 2023 · 1 yr 11 mos · On-site

Leap

Co-Founder, CTO

Jan 2023 – Jul 2023 · 6 mos · San Francisco Bay Area · On-site

At Leap, our mission was to help developers leverage cutting-edge AI by delivering world-class APIs that anyone could use. We started with Image Diffusion technology built on top of Stable Diffusion. I operated as CTO and helped scale the business to over 120,000 users.

Prometheus.ioGrafanaWord EmbeddingsArtificial Intelligence (AI)SGLang / vLLM / Ollama / TensorRT-LLM / llama.cppNATS+2

Crowe

2 roles

Senior Software Engineer

Jan 2020 – Apr 2021 · 1 yr 3 mos

Software Engineering Contractor

May 2017 – Jan 2020 · 2 yrs 8 mos

Lead the DevOps group for this project while employing a cloud native approach for running the entire application as well as using the Gitops workflow for iterating and releasing new versions of the product.
Here are some of the experiences I had over last 2+ years here at Crowe:
1+ years of experience working with Kubernetes in production
1.5+ years of working with Docker in production
Implementing modern DevOps practices that were continuously adopted firm-wide
Setup up an On-Prem Identity management (OAuth/OpenID) solution using IdentityServer4
Assisted in the development and implementation of an end-to-end automated testing system which is used in multiple products all across the firm
Implemented analytics integrations with multiple Crowe products that are used to track infrastructure performance, application performance, and user experience metrics.
Worked closely with Senior System Architects to assist in the design of the Tax Platform using domain-driven design.
Designed and developed tax submission software using C#/Angular to automate and assist accountants’ tasks
Fully implemented a SSO (single sign on) solution for multiple Crowe software products

Michigan state university

5 roles

Graduate Teaching Assistant (CSE 476)

Promoted

Sep 2018 – Jan 2020 · 1 yr 4 mos

Graduate teaching assistant for the undergraduate Mobile App Development course (CSE 476).

Computer Science Teaching Assistant (CSE 331)

Jan 2017 – May 2017 · 4 mos

Teaching assistant for the CSE 331 Algorithms and Data Structures course.
Designed a challenging Hash Table implementation in C++ as a project for the students of the course.
Developed students' knowledge in both Data Structures and their practical implementations and limitations.
Held weekly office hours (5 hours per week) where students came for technical and theoretical guidance in the course.

Computer Science Research Assistant

Promoted

Oct 2016 – Jan 2020 · 3 yrs 3 mos

Data Science, Data Mining, Machine Learning, and Artificial Intelligence research involving the analysis of health/political/crisis related information extracted from social media platforms in order to build a system that can predicate outcomes and provide useful insight on large datasets.
Using modern Big Data approaches to collect, aggregate, and analyze streaming data sets from platforms like Twitter and Imgur. Plans to grow the system to an open source platform providing large data sets for research and data visualization purposes.

Computer Science Teaching Assistant (CSE 231)

Aug 2016 – Dec 2016 · 4 mos

Teaching assistant for the CSE 231 Introduction to Programming I (in Python).
Assist in the grading, proctoring, and planning for the CSE 231 course at Michigan State University.
Lead a 2 hour lab once a week for a group of approximately 22 students. Assist the students in their critical thinking and problem solving in order to put the students in a "can do" mindset on any problems the student may incur while learning the Python(3) programming language.
Hold open help-room hours for 4 hours a week where students come in and ask questions about the course content, Python programming language, and Computer Science in general.

Residence Education and Housing Services

Aug 2014 – May 2016 · 1 yr 9 mos

Maintaining the stability of Case and Wonders Hall in Michigan States South Campus.

Blue medora

Software Engineering Intern

May 2016 – Aug 2016 · 3 mos · Grand Rapids Metropolitan Area

Enterprise Application Software development using agile programming methodologies and collaborative object oriented design practices.
Upgraded legacy software tools used to develop Oracle Enterprise Manager plugins using modern programming approaches in the Ruby language and improved runtime by a significant amount.
Developed a data collector for the Pivotal Cloud Foundry and MongoDB platforms which were used to plug into VMWare VROPS platform. The programs were primarily written in Kotlin.