Live sky time-zone based
Human-centered AI, engineered for the real world
Abhineet Pandey
AI Scientist building multimodal systems for vision, language, and real-world AI
I build machine learning systems grounded in rigorous experimentation, from retrieval and agentic workflows to computer vision, media forensics, and edge deployment.
Best fit for teams working on multimodal AI, computer vision, trustworthy LLM applications, applied research, and ML platform delivery.
AI ScientistApplied ScientistSenior ML Engineer
Products & applied AI
View all projects Building the product, the platform, and the intelligence layer
GrantsMate
An AI platform for grant discovery, collaborator matching, and research-administration knowledge workflows.
Read case study →Filippo
An AI-powered patent analysis and comparison application.
Read case study →LLM Research Assistant Platform
A full-stack assistant for retrieval, question answering, and research knowledge automation using hybrid search, reranking, and agentic workflows.
Read case study →DARPA Semantic Forensics (SemaFor)
Semantic forensics pipelines for detecting falsified media using object, scene-text, and human-pose evidence.
Read case study → Published developer tools
Explore all software Software shipped to the VS Code ecosystem
AI developer tooling
Agent Inspector
Monitor AI coding agent context, visible files, token usage, and trust signals in VS Code-compatible editors.
Remote compute
Pipe Explorer
Manage remote compute and service pipes from VS Code, including Slurm Jupyter, TensorFlow streams, and custom services.
Research tooling
TexPilot
Professional LaTeX workspace with integrated compilation, logs, preview, and local-first AI assistance.
Academic productivity
TeXPilot LaTeX Workspace
A VS Code-compatible LaTeX workspace for students and researchers with local-first AI and paper-writing workflows.
Research record TextSleuth: A New Dataset and Baseline for Scene Text Manipulation Detection IEEE MIPR, 2024 FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild IEEE AVSS, 2021 A Video Analytic System for Rail Crossing Point Protection IEEE AVSS, 2021 Review publications and patents →
Selected publications
Toolbox
Research depth, production instincts
LanguagesPython / C / C++ / Java / CUDA / MATLAB
MLPyTorch / TensorFlow / scikit-learn / Computer Vision / Deep Learning
LLM systemsRAG / Hybrid Retrieval / Reranking / Agentic Workflows / Evaluation
PlatformsLinux / Docker / NVIDIA AGX Xavier / Raspberry Pi / Google Coral
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Let's build useful AI
Email Abhineet Looking for research that can survive contact with production?
I translate research ideas into reproducible experiments, maintainable software, and deployment-ready AI systems.