I'm Akshit Gaur, an AI Engineer blending software development, data platforms, and applied ML to ship practical, end-to-end AI systems. I design and ship LLM-powered workflows, agentic automation, and evaluation pipelines, and I build reliable microservices with CI/CD to turn prototypes into measurable business impact. I thrive on collaboration and teaching, as shown by my teaching assistant role at CMU where I mentored 50+ graduate students and authored hands-on workshops that boosted project success. I'm excited to keep turning innovative ideas into real-world value through robust AI-enabled solutions.

Akshit Sanjay Gaur

I'm Akshit Gaur, an AI Engineer blending software development, data platforms, and applied ML to ship practical, end-to-end AI systems. I design and ship LLM-powered workflows, agentic automation, and evaluation pipelines, and I build reliable microservices with CI/CD to turn prototypes into measurable business impact. I thrive on collaboration and teaching, as shown by my teaching assistant role at CMU where I mentored 50+ graduate students and authored hands-on workshops that boosted project success. I'm excited to keep turning innovative ideas into real-world value through robust AI-enabled solutions.

Available to hire

I’m Akshit Gaur, an AI Engineer blending software development, data platforms, and applied ML to ship practical, end-to-end AI systems. I design and ship LLM-powered workflows, agentic automation, and evaluation pipelines, and I build reliable microservices with CI/CD to turn prototypes into measurable business impact.

I thrive on collaboration and teaching, as shown by my teaching assistant role at CMU where I mentored 50+ graduate students and authored hands-on workshops that boosted project success. I’m excited to keep turning innovative ideas into real-world value through robust AI-enabled solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Teaching Assistant at Carnegie Mellon University
August 1, 2025 - Present
Taught AI product development and entrepreneurial execution to 50+ grad students; 95% positive evaluations. Authored 12 hands-on workshops (agents, ML apps, evaluation) and maintained templates that boosted project success by 40%.
Agentic AI Engineer Intern at GFI Partners
May 1, 2025 - August 1, 2025
Built multi-agent LLM automation for invoice processing; reduced cycle time by 75% with guardrails and auditability. Launched New England Brain Science Institute’s digital presence supporting 3 healthcare partnerships with MIT Media Lab.
Research Assistant at Carnegie Mellon University
January 1, 2025 - July 1, 2025
Designed an auto-grading microservices platform using LLMs + static analysis/unit tests; cut grading time by 80% with 90% accuracy. Built microservices architecture integrating static analysis and unit testing, reducing grading time by 80%.
Technical Project Manager at Corus Entertainment
October 1, 2023 - August 1, 2024
Led a cloud migration achieving 99.9% uptime while lowering infra cost by 40% via right-sizing and automation. Built Python automation frameworks with 650+ tests; reduced deployment time by 50% and raised release confidence.
Software Engineer at Corus Entertainment
February 1, 2022 - October 1, 2023
Implemented 600+ REST API test automations; improved reliability +35% and reduced bug escape -60%. Resolved data integration issues to 99% accuracy for 150k+ customer records in Microsoft Dynamics.
Python Developer at Multi-Health Systems
April 1, 2021 - February 1, 2022
Automated Shopify-Microsoft Dynamics integration processing 500+ daily transactions with 99.8% accuracy. Built ETL pipelines and data lakes reducing report generation time from 4 hours to 15 minutes.
Research Scientist (MutationForge) at Independent Research
January 1, 2025 - Present
MutationForge: Benchmarking Claude, DeepSeek-R1, Google Deep Think, and GPT-OSS; integrated cloud LLM runtime into evaluation pipelines; tracked accuracy/latency/cost and published reusable prompt/guardrail patterns.
Research Engineer (Neural Network Speech Recognition) at Carnegie Mellon University
August 1, 2025 - Present
Implemented phoneme classification with PyTorch MLPs; achieved >86% accuracy; experimented with data preprocessing and model capacity/regularization trade-offs.

Education

Master of Science in Software Management at Carnegie Mellon University
August 1, 2024 - December 1, 2025
Bachelor of Science in Mathematics at University of Waterloo
August 1, 2015 - April 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Healthcare, Media & Entertainment