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I’m an AI Engineer and Researcher with over 3 years of experience in data and AI, spanning healthcare, cybersecurity, and geospatial domains. I’m currently focused on developing agentic AI workflows that integrate multi-LLM systems, and real-world data intelligence to create scalable and adaptive solutions in mordern AI space.…

Neil Advani

AI Engineer, Data Scientist, AI Developer, +2

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I’m an AI Engineer and Researcher with over 3 years of experience in data and AI, spanning healthcare, cybersecurity, and geospatial domains. I’m currently focused on developing agentic AI workflows that integrate multi-LLM systems, and real-world data intelligence to create scalable and adaptive solutions in mordern AI space.…

Available to hire

I’m an AI Engineer and Researcher with over 3 years of experience in data and AI, spanning healthcare, cybersecurity, and geospatial domains. I’m currently focused on developing agentic AI workflows that integrate multi-LLM systems, and real-world data intelligence to create scalable and adaptive solutions in mordern AI space.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Javanese

Advanced

Afar

Intermediate

Amharic

Intermediate

Work Experience

Applied AI Engineer at Tuskira

June 1, 2025 - November 14, 2025

Integrated emerging LLMs into proprietary agent system by leveraging in-house MCP tools, enabling structured evaluations and threat reports containing CVEs, threat actors, etc.

Researcher, AI/ML at University of Maryland - Causal AI Lab (CAIL)

August 1, 2024 - November 14, 2025

Designed a UniNet-based semantic segmentation model using PyTorch to identify accessibility features (sidewalks, roads, staircases) from satellite imagery, integrating 3D terrain data for slope- and elevation-aware navigation in sight.

AI Research Consultant at Absol AI

April 1, 2025 - April 1, 2025

Guided the design of modular LLM architectures for use cases like RAG systems and agent workflows; designed internal docs and reference architectures to support consistent solution plans across diverse verticals such as finance and logistics.

Health Data Scientist at CRISP Shared Services

July 31, 2024 - July 31, 2024

Analyzed large-scale clinical data sets across multi-state hospital systems using SQL and Python queries; identified anomalies and inconsistencies in PHI-linked metadata—reducing data quality issues by 30% and directly supporting care coordination analytics and public health reporting.

Researcher, AI/ML at University of Maryland - CAIL

August 1, 2024 - November 14, 2025

Designed a U-Net-based semantic segmentation model in PyTorch to identify accessibility features from satellite imagery; integrated 3D terrain data for slope- and elevation-aware navigation; led undergraduates in manual annotation and data curation; advanced feature extraction with self-supervised learning (DINO); expanded data diversity via 3+ geospatial APIs; presented at university conferences and earned Best Poster awards.

AI Research Consultant at Absol AI

April 30, 2025 - April 30, 2025

Guided modular LLM architectures for use cases like RAG systems and agent workflows emphasizing scalability and feasibility; authored internal docs and reference architectures to support consistent solution plans across diverse verticals such as finance and logistics.