Kiran P.
Lead Software Engineer | Robotics · Computer Vision · Platform Engineering | Hybrid
- Role
- Lead Software Engineer at Lam Research
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Kiran P.
I build the software that bridges the digital and physical worlds.With over 10 years of experience, I specialize in architecting and developing scalable, robust software for robotics, computer vision, and data-intensive systems. My work spans the full stack of physical-world software — from automating robotic testbeds for next-gen VR hardware at Meta, to leading a team building software platforms for semiconductor manufacturing automation at Lam Research.I thrive on end-to-end ownership: system design, low-level hardware integration, cloud-based data pipelines, and the DevOps and tooling that keep teams shipping. I believe in a data-driven approach to problem-solving and enjoy building the systems and workflows that make engineering teams more effective.Always looking to connect with people working on challenging problems in robotics, applied AI, and large-scale infrastructure.
Experience
Lead Software Engineer
Feb 2025 — Present · Fremont, CA, US
Leading a 8-person engineering team building software platforms for semiconductor manufacturing automation- Architected the backend API for a Recipe Optimization tool in Python/Flask, solving deployment constraints for air-gapped manufacturing environments by packaging as a standalone executable serving 200+ semiconductor tools- Consulted the microservices migration of a health analytics platform processing robotic wafer-handler telemetry, decomposing a monolithic notebook system into 5 independently deployable services and reducing the team\'s feature delivery cycle from weeks to days- Built domain-specific engineering knowledge bases and automated code review, testing, and bug triage workflows, enabling one engineer to effectively own TPM, DevOps, and backend functions across a 6-person team- Standardized deployment automation across 8+ services in the team\'s portfolio, reducing manual release steps by ~70% and cutting average deployment time from hours to minutes.
Education
University of Central Florida
Master's degree, Electrical Engineering, Assistive Robotics and Controls
2014 — 2016
Sri Jayachamarajendra College Of Engineering
Bachelor's degree, Electrical and Electronics Engineering
2008 — 2012
New England College
Executive Masters, Computer Information Systems
Skills
- Electronics
- Opencv
- Arduino
- Computer Vision
- Plc
- Tpm
- Ros
- Linux
- Deep Learning
- Electrical Engineering
- Robotics
- Engineering
- Uav
- Iso 9001
- C
- Programming
- Ohsas 18001
- Plc Programming
- Quality Management
- Autonomous Maintenance
- Simulations
- Matlab
- Process Automation
- Automation
- Python
- Microsoft Office
- Itk
- C++
- Machine Learning
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