
Raghav User
@raghavuser10
AI developer building NaiskosDev’s context-aware coding platform and GeoSim’s geopolitical simulation pipeline.
What I'm looking for
At NaiskosDev, I led backend development for an AI-assisted developer platform that brings together code context, Git history, tasks, and production error information. I designed its context-engineering architecture and contributed to a secure code test-and-verification workflow.
On GeoSim, I built a geopolitical intelligence pipeline using GDELT event data and Amazon S3, and engineered world-state and temporal trajectory generation. I also fine-tuned Mistral-7B-Instruct with LoRA and deployed simulation and retraining APIs with FastAPI on AWS EC2.
My research connects computational workflows with applied AI. I developed a knowledge-graph-driven framework for parametric modeling of Nagara-style temples, and I'm defining Psamathe, a runtime strategy architecture for scientific simulations.
Experience
Work history, roles, and key accomplishments
Lead Researcher
Psamathe — Adaptive Computational Governance for Scientific
Jan 2026 - Present (10 months)
Defined a monitoring-and-decision architecture for scientific simulations, considering numerical stability, error, uncertainty, and computational cost. Developed a staged evaluation plan across gravitational N-body, molecular dynamics, and QM/MM simulations.
Lead Researcher & Data Engineer
Knowledge Graph-Driven Parametric Modeling of Nagara-Style H
Jan 2025 - Dec 2025 (11 months)
Developed a computational modeling framework for digital preservation and structural interpretation of Nagara-style temple architecture. Designed a semantic knowledge graph and evaluated graph constraints against 600 test cases, reporting 99.5% internal constraint compliance.
Data Engineer
GeoSim
Built an end-to-end geopolitical intelligence pipeline ingesting GDELT event data, storing raw and processed data in Amazon S3. Engineered world-state and temporal trajectory generation, and deployed simulation APIs with FastAPI on AWS EC2.
Development Lead
NaiskosDev
Led backend development for an AI-assisted developer platform, designing a context-engineering architecture to connect code repositories, task information, and operational telemetry. Contributed to an AI-driven test-and-verification workflow.
Education
Degrees, certifications, and relevant coursework
REVA University
B.Tech, Artificial Intelligence & Machine Learning
2023 -
Grade: 9.38/10.0
Pursuing a B.Tech in Artificial Intelligence & Machine Learning with a CGPA of 9.38/10.0.
SCPUC
Pre-University, Pre-University
2021 - 2023
Grade: 95.8%
Completed Pre-University education with a grade of 95.8%.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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