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.
Skills
Experience Level
Expert
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Language
English
Fluent
Work Experience
Teaching Assistant at Carnegie Mellon University
August 1, 2025 - PresentTaught 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, 2025Built 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, 2025Designed 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, 2024Led 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, 2023Implemented 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, 2022Automated 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 - PresentMutationForge: 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 - PresentImplemented 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, 2025Bachelor of Science in Mathematics at University of Waterloo
August 1, 2015 - April 1, 2020Qualifications
Industry Experience
Software & Internet, Education, Healthcare, Media & Entertainment
Skills
Experience Level
Expert
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