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@rakeshwarelango
Senior AI engineer specializing in computer vision, MLOps, and cloud architectures to deploy scalable AI solutions.
I am a Senior AI Engineer with multidisciplinary research and development experience, holding an M.S. from Sungkyunkwan University. I focus on applying AI and computer vision to solve real-world problems with pragmatic, production-ready solutions.
At Livesitter (USA) I led engineering efforts to add intelligence to school surveillance cameras, deploying YOLOv8, DeepSORT, and custom algorithms for real-time tracking and automated alerts that improved on-site security.
I designed cost-efficient cloud architectures—reducing AI inference costs by 70% using spot instances—and led a GCP migration from AWS while contributing to SOC2 and HIPAA compliance and optimizing Nvidia DeepStream and Triton for inference performance.
My background includes fail-safe automotive control systems, MLP and GAN experimentation for image-to-image tasks, embedded fail-safe algorithms, and experience across MATLAB/Simulink, Python, AWS/GCP, and MLOps practices. I recruit and build teams focused on delivery, compliance, and scalable AI operations.
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Work history, roles, and key accomplishments
Livesitter
Feb 2023 - Present (2 years 9 months)
Led AI engineering for school surveillance solutions, deploying YOLOv8 and DeepSORT to enable real-time object tracking and automated alerts, reducing manual monitoring and improving incident detection.
Betalabs
Sep 2021 - May 2022 (8 months)
Developed an AI-based image-to-image prediction system converting no-makeup images to realistic makeup products, collecting 40,000 images and deploying the model serverlessly on AWS Lambda to reduce time and cost.
HCL Technologies
Dec 2017 - Feb 2019 (1 year 2 months)
Designed 3D hip implant models and 2D drafting for Johnson & Johnson using CATIA V5, produced BOMs and PLM routing, and delivered manufacturing-ready drawings.
Degrees, certifications, and relevant coursework
Master of Science, Mechanical Engineering
2019 - 2021
Grade: GPA 4.1/5
Activities and societies: Student researcher in Control Lab; projects included Lane Keeping Assist System, sensor fail-safe systems, suspension fail-safe system, and dual motor design optimization; published conference paper; client projects with TATA-Daewoo, KATECH, NEDEC.
Master of Science (Mechanical) focused on fail-safe control systems, LKAS development, and multidisciplinary research with a GPA of 4.1/5.
Bachelor of Engineering, Mechanical Engineering
2013 - 2017
Grade: 75%
Activities and societies: Projects included suspension fail-safe system, dual motor design optimization, and automation-related term projects; internship/industry work with design engineering tasks.
Bachelor of Engineering (Mechanical) with a focus on control systems and hardware/software fail-safe design; secured 75% overall.
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