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MLExperts.ai

Accelerate your
lab's engineering needs with

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Empowering academic labs and growth-stage startups to solve complex AI challenges swiftly. Our elite team—from Google, Amazon, and MIT PhDs—delivers rapid proofs of concept, so your core team can focus on driving your business forward.

Focus on research let AI ML experts handle the rest

While core research is essential, engineering tasks can take months to implement and may require learning new skills, potentially delaying project completion. Focusing on peripheral systems might not be the best use of your valuable time.

That’s where our team of

research software engineers

comes in. We help you offload these tasks, ensuring that you can concentrate on what truly matters—advancing your research.
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Services

Data ingestion pipelines

Data ingestion pipelines

Terrabyte scale data cleaning, transforming, processing.
Data ingestion pipelines

MLOps

MLOps

  • End-to-end model management and deployment*
  • Fine-tuning models
  • Weight analysis and optimization
  • Speeding up inference
  • Model compression
  • Hosting models across different cloud and compute infrastructures
  • Deployment management (Docker, CI/CD)
  • Parallelizing training across multiple GPUs
MLOps

Backend development

Backend development

  • Robust system-level and API development for high-performance environments
  • Writing APIs for third-party integration
  • System-level code optimization
  • Interfacing with C/C++ low-latency code
  • Network protocol integration: gRPC for real-time data transfer
Backend development

DevOps

DevOps

  • Linux-based cloud platforms like AWS, Azure, GCP
  • Scaling servers to handle internet- scale traffic
  • Setting up content delivery networks
  • Automating workflows: receive inputs, spawn servers, perform computations, orchestrate multiple services, log and store results in databases, raise alerts, shut down unused servers, etc.
DevOps

Interactive webpage design

Interactive webpage design

Create dynamic and engaging webpages with interactive elements that enhance user experience. Utilize responsive design, animations, and user-friendly interfaces to boost engagement.
Interactive webpage design

App development

App development

Develop dynamic, interactive apps with responsive design and engaging features to enhance user experience and drive user engagement.
App development

Machine learning & modeling

Machine learning & modeling

ML specializations:

  • Supervised & Unsupervised learning: Regressions, Transformers, Graph neural networks
  • Domain: Text and Vision
  • Reinforcement learning
  • Time-Series forecasting: ARIMA, LSTMs, Prophet
Machine learning & modeling

Database management

Database management

Database management and query optimization
Database management

Web & document scraping

Web & document scraping

Advanced skills in web scraping and document extraction using various tools.
Web & document scraping

Visualizations

Visualizations

  • Creating insightful visual representations of data*
  • Libraries: Matplotlib, Seaborn, GGPlot
Visualizations

Other backend services

Other backend services

  • Writing APIs to interface with a third party software stack,
  • System-level optimization of code,
  • Interfacing with C/C++ low-latency code,
  • Interfacing with various network protocols like gRPC to receive real-time data.
Other backend services

Trusted by the best

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Case studies

MIT CSAIL

Created a workflow for a complex robotics data-collection application in 1 month. This would have otherwise taken 3-4 months by 1 engineer. Given the critical timeline, we quickly assembled a team of Python, iOS, DevOps engineers, and one architect. They created an elaborate AWS infrastructure with auto-scaling capabilities, achieving very low latency (30 ms), and set up multiple data-collection and reporting dashboards.

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Michigan State University

Working on an open-source leaderboard where researchers can submit their latest adversarial ML models. The lab did not have the bandwidth to productize and open-source such a leaderboard. We deployed a team of a senior ML engineer and a senior backend engineer.

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MIT Media Lab

Developed a world-class dynamic dashboard to visualize climate discourse.

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