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Maneesh Bilalpur
Mid-level AI Researcher specializing in multimodal LLMs and human-centered AI
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Has production deployment experience delivering computer-vision systems on AWS (Docker + S3) including a GDPR-focused face/license-plate obfuscation pipeline and a semantic-segmentation project aimed at reducing annotation time. Worked closely with DevOps and frontend teams and partnered with CEO/CMO to present an AI-driven annotation workflow to non-technical VC stakeholders.
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Key Strengths
- Deployed CNN computer-vision model to AWS using Docker for GDPR-compliant face/license-plate obfuscation with S3-based pipeline
- Built/operated batch (offline) model-serving workflow triggered via internal API and processing datasets end-to-end
- Applied product-minded reliability practices (goal/scoping, API coverage, fallback error codes) for production workflows
- Cross-functional collaboration with DevOps and frontend teams to deliver AI features into an annotation tool
- Able to translate AI value to non-technical stakeholders (CEO/CMO, VC-facing demo) and align expectations
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Experience
Education
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Publications
8 publications
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