Looking for a job

Hari Om

@hariom1

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I build computer vision and machine learning systems for edge deployment, diagnostics, and threat detection.

India

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What I'm looking for

I'm looking to build and deploy practical AI/ML systems, especially computer vision and edge AI solutions, while growing through hands-on work with data, models, and real-world deployment challenges.

I've built real-time computer vision pipelines for defense research at IRDE, DRDO, benchmarking deep learning models on NVIDIA Jetson AGX Orin and optimizing image-processing workflows for lower-latency edge inference.

My projects include Medison AI, where I integrated five diagnostic modules, including a CNN skin-disease classifier with 85.4% accuracy and OCR-based document intelligence. I also built Malware Guard, a hybrid threat-detection platform that reached 84% detection accuracy and included a Streamlit monitoring dashboard.

I'm comfortable taking ML systems end to end, from data preparation and model training through deployment and visualization, using Python, TensorFlow, PyTorch, Scikit-learn, Power BI, and SQLite.

Experience

Work history, roles, and key accomplishments

Current

Data Annotator Intern

Current

PracticeBuzz

Feb 2026 - Present (7 months)

Annotate and quality-check high-volume computer vision datasets, including bounding boxes, polygons, and segmentation masks, to support deep learning model training. Implement data quality assurance protocols and collaborate with ML engineers to refine annotation guidelines.

Data Annotation Computer Vision Quality Assurance Bounding Boxes Segmentation masks Collaboration

Computer Vision Intern

IRDE, DRDO

Aug 2025 - Feb 2026 (6 months)

Researched and benchmarked real-time computer vision algorithms for defense applications, deploying deep learning models on NVIDIA Jetson AGX Orin edge hardware. Optimized image processing workflows to enhance inference speed and reduce latency on embedded systems.

Computer Vision Deep Learning NVIDIA Jetson AGX Orin Edge Computing Image Processing Benchmarking