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Maneesh Bilalpur
Mid-level AI Researcher specializing in multimodal LLMs and human-centered AI
Pittsburgh, PAGraduate Student Researcher7 years experienceMid-LevelArtificial IntelligenceMachine LearningTechnology
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About
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.
Experience
Graduate Student ResearcherUniversity of Pittsburgh
Computer Vision ResearcherPlayment.io (Telus International)
Education
University of Pittsburghdoctorate, Intelligent Systems (2025)
IIIT Hyderabadmaster, Electronics Engineering (2018)
VIT Universitybachelor, Electronics Engineering (2015)
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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