I am Jayalakshmi K, an AI/ML engineer with 5+ years of experience building GPU-accelerated AI systems and deploying computer vision models on edge devices. I specialize in TensorRT, ONNX, PyTorch model optimization, and real-time inference on NVIDIA Jetson platforms, with a strong background in automotive embedded systems and integrating AI with IoT hardware for production deployments. I have led end-to-end ML workflows from data collection and annotation to model training and edge deployment, and I enjoy bridging hardware and software for scalable AI in mobility and healthcare. In my career, I’ve collaborated with cross-functional teams (hardware, network, cloud) to design robust edge AI pipelines, implemented monitoring and benchmarking for low-latency video analytics, and ensured security and compliance in enterprise IoT environments. I’m passionate about applying AI to real-world problems and delivering production-ready solutions on embedded platforms.

Jayalakshmi K

I am Jayalakshmi K, an AI/ML engineer with 5+ years of experience building GPU-accelerated AI systems and deploying computer vision models on edge devices. I specialize in TensorRT, ONNX, PyTorch model optimization, and real-time inference on NVIDIA Jetson platforms, with a strong background in automotive embedded systems and integrating AI with IoT hardware for production deployments. I have led end-to-end ML workflows from data collection and annotation to model training and edge deployment, and I enjoy bridging hardware and software for scalable AI in mobility and healthcare. In my career, I’ve collaborated with cross-functional teams (hardware, network, cloud) to design robust edge AI pipelines, implemented monitoring and benchmarking for low-latency video analytics, and ensured security and compliance in enterprise IoT environments. I’m passionate about applying AI to real-world problems and delivering production-ready solutions on embedded platforms.

Available to hire

I am Jayalakshmi K, an AI/ML engineer with 5+ years of experience building GPU-accelerated AI systems and deploying computer vision models on edge devices. I specialize in TensorRT, ONNX, PyTorch model optimization, and real-time inference on NVIDIA Jetson platforms, with a strong background in automotive embedded systems and integrating AI with IoT hardware for production deployments. I have led end-to-end ML workflows from data collection and annotation to model training and edge deployment, and I enjoy bridging hardware and software for scalable AI in mobility and healthcare.

In my career, I’ve collaborated with cross-functional teams (hardware, network, cloud) to design robust edge AI pipelines, implemented monitoring and benchmarking for low-latency video analytics, and ensured security and compliance in enterprise IoT environments. I’m passionate about applying AI to real-world problems and delivering production-ready solutions on embedded platforms.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

AI/ML Engineer - GPU & Edge AI at Onde Group
September 1, 2025 - Present
Lead design and deployment of GPU-accelerated AI systems for IoT and smart mobility. Architect production pipelines, configure hardware, and optimize inference on NVIDIA Jetson platforms using TensorRT and ONNX Runtime (INT8/FP16). Built end-to-end edge AI pipelines (camera integration, preprocessing, inference, post-processing) and containerized deployments with Docker. Implemented performance benchmarks and tuned data preprocessing, memory usage, and GPU utilization for real-time video analytics; collaborated with hardware, network, and cloud teams to ensure seamless device-to-cloud integration and secure data handling.
AI Engineer at Trancis
April 1, 2025 - September 1, 2025
Developed a digital cataract marker prototype for intraocular lens procedures. Built a computer vision workflow using YOLOv8 for detection and marking tasks; designed medical IoT integration with real-time image processing; led proof-of-concept development and early testing for a surgical assistance tool.
Machine Learning Engineer at Oralens Healthcare Pvt Ltd
April 1, 2024 - February 28, 2025
Led medical image dataset creation and annotation with quality standards and traceability. Trained CNNs and YOLOv8 for oral-health diagnostics, implemented data augmentation for generalization. Built LSTM/CNN models for physiological signals from wearables, and used MLflow for experiment tracking and reproducibility.
Data Scientist & ML Intern at GRIP, The Sparks Foundation
January 1, 2024 - March 31, 2024
Developed customer churn prediction models using ensemble methods (Random Forest, XGBoost). Performed data cleaning, feature engineering, and hyperparameter tuning with cross-validation, achieving ~85% accuracy.
Senior Software Engineer - Diagnostics (Engine Management Systems) at Robert Bosch Engineering & Business Solutions
January 1, 2011 - May 1, 2014
Delivered diagnostic services for Engine ECUs across OEM projects (PSA, Fiat, GM, BMW) including RDBI, WDBI, RC, SECA, DTC management. Implemented multi-protocol diagnostics (UDS over CAN, KWP2000, ISO 14229/14230), AUTOSAR 3.4 software, embedded C on TC microcontrollers, and RTOS. Led test automation (Python, CAPL) and used CAN tooling for validation.
Independent Consultant at Career Break & Freelance Work / Self-employed
May 1, 2014 - December 31, 2023
Took a career break for family commitments and pursued advanced studies, while maintaining hands-on work in embedded systems, software development, and AI readiness. Engaged in selective freelance projects to sharpen AI/ML capabilities and prepare for a formal transition to AI/ML roles.

Education

Executive Post Graduate Certification – Data Science & Artificial Intelligence at IIT Roorkee
June 1, 2023 - September 1, 2024
Executive Diploma – Cyber Security at Mizoram University
August 1, 2024 - September 1, 2025
Master of Business Administration (MBA) – Production and Operation Management at Alagappa University
May 1, 2015 - August 1, 2018
Master of Engineering (ME) – VLSI Design at PSG College of Technology, Coimbatore
May 1, 2008 - May 1, 2010

Qualifications

Microsoft Azure Data Scientist Associate
June 1, 2024 - June 1, 2026
AWS Certified Solutions Architect – Associate
January 1, 2025 - January 30, 2026
MLOps | Machine Learning Operations
January 1, 2025 - January 30, 2026
AI for Medicine – DeepLearning.AI
January 1, 2025 - January 30, 2026
Explainable AI in Healthcare
January 1, 2025 - January 30, 2026
Introduction to Embedded Machine Learning – Edge Impulse
June 1, 2024 - June 1, 2024
Getting Started with Azure IoT Hub
December 1, 2023 - December 1, 2023
Agile Scrum Master
September 1, 2024 - September 1, 2024
MS SQL Developer Course
July 1, 2023 - January 30, 2026

Industry Experience

Software & Internet, Healthcare, Manufacturing