Observe
Find the actual manufacturing constraint.
I combine mechanical engineering, manufacturing productivity, automation, electronics and software to solve complex problems in medical devices and semiconductor equipment.

I start with the physical constraint, quantify it, choose the right intervention, prove it on real hardware, and make the gain repeatable.
Find the actual manufacturing constraint.
Quantify time, cost, quality or risk.
Design the right mechanical or process intervention.
Use sensing, software or automation where it removes effort.
Prove the change with real hardware and evidence.
Turn the improvement into a repeatable process.
The IMU fixture is the best example of how the engineering approach above translates into a manufacturing result.
The top-plate shaft could jam in the chamber hole, creating rework and line-down risk. I ideated, designed and developed a fixture using IMU sensing to determine absolute top-plate/chamber position and identify planar misalignment.
Assembly technicians then used the fixture repeatedly on the manufacturing line, followed by time and labour-hour validation against the original process.
Read the case study →cycle-time reduction
annual savings
Jam-driven line-down condition eliminated.
The differentiator is not one tool. It is knowing when a mechanical, electrical, software or validation approach is the right answer.
Cycle-time reduction, process improvement, fixture development and cost reduction.
Python, hardware test automation, computer vision and AI-assisted workflows.
Mechanical + electronics + software across physical systems and manufacturing processes.
Medical devices, semiconductor equipment, V&V, supplier engineering and risk retirement.
Three examples here. The full project section contains the deeper technical stories.
Repeated rework occurred because the top-plate shaft could jam in the chamber hole, creating assembly delays and line-down risk.
90% cycle-time reduction, more than $1M annual savings, and elimination of line-down events caused by the jam condition.
Open project →Repetitive manual hardware validation consumed engineering time and limited throughput.
50% reduction in test cycles with support for SEMI S2/S8 compliance-oriented testing.
Open project →Assembly planning relied heavily on physical trial and error.
30% reduction in trial-and-error time.
Open project →Five years across manufacturing engineering, product engineering, supplier programs and verification & validation.
Variable-cost productivity and mechanical engineering for medical imaging, spanning supplier programs, V&V, manufacturing readiness and customer-critical hardware problem solving.
Led hands-on early-stage product engineering across electronics, PCB design, firmware and hardware/product development.
Manufacturing productivity, automation, fixture development, testing, simulation and cross-functional engineering for semiconductor equipment.
B.E. (Bachelor of Engineering), Mechanical Engineering · The National Institute of Engineering · Mysuru, Karnataka · 2021