class Engineer:
def __init__(self):
self.name = "Yuvavignesh Balamurugan"
self.role = "Robotics & Medical Device Engineer"
self.education = "M.S. Robotics & Autonomous Systems @ ASU (GPA 4.0)"
self.location = "Tempe, AZ — open to relocation"
self.domains = ["Surgical Robotics", "Wearable Medical Devices",
"Embedded Control", "Mechatronics", "FEA"]
self.standards = ["ISO 13485", "FDA 21 CFR 820.30", "V&V", "RCA / CAPA"]
self.current_goal = "Shipping hardware that is safe, traceable, and validated"
def philosophy(self):
return "Reliable hardware starts with rigorous verification."I build at the intersection of mechanical design, robotics, and regulated product development — where hardware, control software, and disciplined verification turn prototypes into systems that hold up under real-world load and regulatory scrutiny.
Tissue-adaptive trajectory simulation — force-aware path control for a surgical robotic arm.
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Tissue-adaptive force control for a surgical robotic arm — PID force controller + real-time safety watchdog with 10 ms response, validated against IEC 60601-1 & ISO 13485.
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End-to-end NPD of a dual glove + insole system through clinician-validated prototype — full design controls, DHF per FDA 21 CFR 820.30, <5% calibration error.
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Solved a 4×4 maze on a 6-DOF arm by integrating OpenCV, A* pathfinding, and MoveIt2 — sim-validated, then deployed to physical hardware over Ethernet TCP.
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FEA-driven orthopedic implant in 316L stainless steel — reduced stress shielding 34% via iterative ANSYS optimization, designed for DMLS additive manufacturing.
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Parametric lattice stent with nonlinear FEA under physiological loading — confirmed structural integrity with an 8× safety margin, documented for design verification.
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Programmed a UR-series cobot for pick-and-place — cut cycle time 18% with optimized MoveJ transitions while holding ±1 mm accuracy and zero-drop reliability.
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I treat GitHub as a portfolio of engineering rigor — built like real products, not just demos.
spec → design → simulate → prototype → verify → validate → iterate
- Requirements before geometry. I anchor every design to clear, traceable requirements — so what gets built can be proven, not just assumed.
- Simulate, then commit. FEA and control simulation catch failure modes before a single part is machined or a board is powered.
- Verification is not an afterthought. Test protocols, V&V, and DV/DFMEA are part of the design — not a box ticked at the end.
- Root-cause, not symptom-patch. When something fails, I trace it to the source with structured RCA and close it out with corrective action that doesn't recur.
- Documentation that survives handoff. DHF, ECN/ECO, and work instructions written so the next engineer — or an auditor — can follow the logic.
In regulated hardware, the work isn't done when it functions — it's done when it's safe, traceable, and proven.
- 🇮🇳 Patent (India): Inventor on a granted patent for a piezoelectric wearable shoe-sole energy-harvesting device
- 🩺 Medical Device Validation: Led end-to-end development of a wearable rehabilitation device, validated with clinical partners and documented to FDA 21 CFR 820.30
- 📜 Certifications: Semiconductor Manufacturing Fundamentals · J&J MedTech Robotics & Controls Simulation · Medical Device Design (ISO 13485) · Root Cause Analysis · Six Sigma Yellow Belt