Building the future of manufacturing through innovation, robotics, and AI
๐ Download ResumeI'm a solutions-oriented Process Development Engineer with 6+ years of experience delivering validated systems across biotech, medical devices, and aerospace industries. My expertise spans product lifecycle management, MES/PLM integration, and leading cross-functional teams to bring first-of-its-kind technologies from concept through GMP production.
Throughout my career, I've successfully managed multi-million dollar automation projects, improved production efficiency by up to 70%, and led the development of novel medical devices. I excel at identifying customer needs, developing targeted technical demos, and translating complex technical ideas into tangible product strategies.
My long-term goal is to build a career at the intersection of manufacturing innovation, robotics, and AI, leading large-scale transformation programs that redefine industrial efficiency and sustainability.
Leading cross-functional roadmap execution for New Product Introduction, aligning R&D, engineering, manufacturing, and quality teams. Owned product roadmap planning and validation strategy, reducing process cycle time by 60% through stakeholder alignment and agile execution.
Led full product lifecycle from concept through clinical manufacturing for novel drug-device systems. Increased yield from 1% to 20% through root cause analysis and process optimization. Implemented MES workflows and digital manufacturing strategies for GMP production.
Conducted process validation and robotic system calibrations on fully automated First American assembly line. Built Arena PLM framework for Omnipod manufacturing and introduced lean strategies that yielded $6.5M in cost savings.
Introduced two additional fully automated assembly lines. Improved production efficiency by 70% across 3 automated lines, unlocking $204M in revenue growth. Managed 24/7 operations on 12 injection molding cells and implemented Arena PLM architecture for automated manufacturing systems.
Evaluated control algorithms for India's first multi-purpose civilian aircraft (SARAS). Developed workflow translating MATLAB Simulink models to AADL language and conducted formal methods validation. Introduced Markov chain approach that accelerated a 1.5-year project to completion in 3 months, leading to IEEE publication.
Optimized automated assembly lines, improving efficiency by 70% and unlocking $204M in revenue.
View Details โTotal Impact: 20,733 parts/day improved across 4 major projects
Key Projects:
Increased yield from 1% to 20% for first-of-its-kind combination systems.
View Details โScale-Up: 1 โ 250 devices/month (250x increase)
Yield Improvement: 1% โ 20% (20x improvement)
Key Achievements:
Reduced cycle time by 60% through automation and sensor integration.
View Details โCycle Time: 60% reduction through automation
Deliverables: 5 GMP systems delivered
Key Initiatives:
Published IEEE research on validation of control algorithms using formal methods during internship at National Aerospace Laboratories, India. Accelerated a 1.5-year project to completion in 3 months using Markov chain approach.
View Paper โOrganization: National Aerospace Laboratories, India
Achievement: Accelerated 1.5-year project to 3 months
Innovation: Introduced Markov chain approach for control algorithm validation using formal methods
Aircraft: SARAS - India's first multi-purpose civilian aircraft
View Paper โLed aerodynamics and manufacturing for autonomous 11ft wingspan aircraft.
View Details โTeam: 8 university students, $5,500 budget
Role: Aerodynamics lead & manufacturing
Key Achievements: