RE

Open to opportunities

Rakeshwar Elango

@rakeshwarelango

Senior AI engineer specializing in computer vision, MLOps, and cloud architectures to deploy scalable AI solutions.

What I'm looking for

I seek senior roles building and deploying scalable, secure AI systems—focusing on computer vision, MLOps, cloud optimization, team leadership, and regulatory-compliant 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.

Experience

Work history, roles, and key accomplishments

LI

Current

Senior AI Engineer

Current

Livesitter

Feb 2023 - Present (3 years 4 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.

Python Computer Vision Deep Learning YOLOv8 AWS Nvidia DeepStream Triton MLOps

BE

Artificial Intelligence Engineer

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.

Python Deep Learning MLP Image Processing Data Collection AWS Lambda Computer Vision

HT

Design Engineer

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.

Catia 3D Modeling technical drawings CAD

Education

Degrees, certifications, and relevant coursework

SU

Sungkyunkwan University

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.

AU

Anna University

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.

Tech stack

Software and tools used professionally

MongoDB

Gmail

MATLAB

AWS Lambda

Ray

Score

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