
Akshat Khosla
@akshatkhosla
I build production backend and applied AI systems, from RAG platforms to enterprise automation.
What I'm looking for
At GEP, I ship production AI and backend systems for enterprise teams, including an AI-powered PR Copilot that reduced review time by about 30% across 8+ engineers.
I’ve built configurable platforms that cut feature delivery time by 40% and reduced enterprise client onboarding time by 60%. I also led an Angular 8-to-20 migration across two production repositories and 150+ UI component plugins.
I build end-to-end LLM products using RAG, LLM-as-judge, MCP, distributed tracing, FastAPI, ChromaDB, PostgreSQL, and React. My projects include a concurrent multi-judge LLM evaluation platform, a persistent memory layer for LLMs, and a document Q&A agent with source-attributed answers.
My research on Transformer-augmented Deep Knowledge Tracing improved AUC by 6.8% and F1 by 5.3% over LSTM baselines, and was published in Complex & Intelligent Systems in 2025.
Experience
Work history, roles, and key accomplishments
Shipped an AI-powered PR Copilot into production, reducing per-PR review time by ~30%. Architected a scalable configuration framework and led Angular 8 to 20 migration across production repos.
Research Assistant
Thapar University
Jan 2024 - Jul 2024 (6 months)
Designed a Transformer-augmented Deep Knowledge Tracing model on a 500K+ student interaction dataset, achieving +6.8% AUC and +5.3% F1 over LSTM baselines. Research published in Complex & Intelligent Systems (2025).
Automated IC waveform data curation and EDA analysis in Python across 100+ simulation datasets, reducing simulation review time by 50%.
Education
Degrees, certifications, and relevant coursework
Thapar University
Bachelor of Engineering, Computer Engineering
2020 - 2024
Grade: 8.7/10
Pursued a Bachelor of Engineering in Computer Engineering, graduating with a CGPA of 8.7/10.
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Location
Authorized to work in
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Skills
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