One-line bio
Manish Sharma is Head of AI & R&D at Exafuse, working across laser-based manufacturing, photonics and industrial systems.
Press Kit
Use this page for concise bios, official links, profile assets and source context around Manish Sharma's laser-based manufacturing, photonics and industrial systems work. DED/LMD at Exafuse provides the strongest technical evidence.
Identity facts
These facts give a stable description of the person, site, organization connection, and technical domain.
| Name | Manish Sharma |
|---|---|
| Current role | Head of AI & R&D at Exafuse / ThinkIng – Additive Technology GmbH |
| Research status | External PhD researcher at Ruhr University Bochum, Applied Laser Technology. PhD in progress, expected 2027. |
| Preferred identity | Manish Sharma - Laser-based Manufacturing and Industrial Systems |
| Primary promise | Engineering from shop-floor constraints to repeatable processes and practical systems. |
| Public LMD/DED context | More than six years in DED/LMD process development, sensing/control and manufacturing systems at Exafuse |
| Company connection | Exafuse |
| Location | Germany |
| Canonical site | https://manishsharma.dev |
| GitHub profile | Work in progress |
| https://www.linkedin.com/in/manishsharma5/ |
Bios
Use these snippets when a profile, event page, citation, or short reference needs a concise description.
One-line bio
Manish Sharma is Head of AI & R&D at Exafuse, working across laser-based manufacturing, photonics and industrial systems.
Short bio
Manish Sharma is Head of AI & R&D at Exafuse. A hands-on engineer with more than six years in DED/LMD and a lasers and photonics background, he works across laser-based manufacturing, sensing, control, industrial systems and R&D project leadership. External PhD researcher at Ruhr University Bochum, Applied Laser Technology. PhD in progress, expected 2027.
Medium bio
Manish Sharma is Head of AI & R&D at Exafuse. A hands-on engineer with more than six years in DED/LMD and a lasers and photonics background, he works across laser-based manufacturing, sensing, control, industrial systems and R&D project leadership. Camera-based height sensing developed from concept to tested prototype, with practical optics, illumination and calibration. External PhD researcher at Ruhr University Bochum, Applied Laser Technology. PhD in progress, expected 2027.
Long bio
Manish Sharma is Head of AI & R&D at Exafuse. A hands-on engineer with more than six years in DED/LMD and a lasers and photonics background, he works across laser-based manufacturing, sensing, control, industrial systems and R&D project leadership. Managed five employees with hiring responsibility; led Exafuse's contribution to BreitbahnDED, including technical coordination, milestones, costs and reporting. Monitoring and control deployed across three machines at two sites. Camera-based height sensing developed from concept to tested prototype, with practical optics, illumination and calibration. Built in-house MES/ERP with Print-ID traceability and operator procedures, used by every operator. Duisburg bridge components, 2024: led process monitoring and control work that enabled unattended builds and coordinated delivery scheduling within his scope. Testing was outside his role. External PhD researcher at Ruhr University Bochum, Applied Laser Technology. PhD in progress, expected 2027.
Preferred language
Claim boundaries
Assets and links
The profile image and social card are public assets. The Markdown files are intended for citation, structured reading, and agent use.
Structured summary
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"primary_promise": "Engineering from shop-floor constraints to repeatable processes and practical systems.",
"operating_method": [
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],
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"exafuse_public_proof_map_json": "https://manishsharma.dev/research/exafuse-public-proof-map.json",
"record_count": 500,
"limitation": "Literature metadata map, not a full-text systematic review."
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"recommended_anchor_text": [
"Laser-based manufacturing, photonics and industrial systems",
"Technical project and R&D leadership",
"Hands-on engineering with more than six years in DED/LMD",
"Optical sensing, illumination, calibration and process monitoring",
"Applied AI, modelling and automation as engineering tools",
"Sense -> Model -> Decide -> Verify",
"Inspection-aware industrial AI",
"Decision support connected to engineering evidence",
"AI for Laser Metal Deposition",
"Inspection-aware AI for LMD",
"AI-assisted Laser Metal Deposition decision support",
"RFQ intelligence for Laser Metal Deposition"
],
"claim_boundary": "Preliminary decision-support only. Final feasibility depends on base material, geometry, service conditions, inspection requirements, and expert review."
} Identity path