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Dibya Chandra Adhikari

@dibyachandraadhikari

AI/ML engineer specializing in computer vision, multimodal models, and backend systems.

Nepal
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What I'm looking for

I seek a role building production-grade computer vision and multimodal AI systems, with opportunities for impact, collaboration, and technical growth.

I am an AI/ML engineer with strong practical experience in computer vision, multimodal models, and production deployment. I have led projects that built image data versioning and training platforms, vehicle detection and plate recognition systems, and image-matching solutions using CLIP and Dinov2.

I design and implement end-to-end systems—building backends with FastAPI, PostgreSQL and SQLAlchemy, containerizing services with Docker, and deploying on Azure and AWS. I have upgraded classifier and detector architectures, experimented with segmentation algorithms, trained GANs for data augmentation, and developed LLM-powered tools.

I collaborate with cross-functional teams to integrate services, optimize performance, and maintain code quality. I focus on delivering scalable, production-ready AI systems that address real-world data challenges and improve model performance.

Experience

Work history, roles, and key accomplishments

IL
Current

AI/ML Engineer

Inspiring Lab Pvt. Ltd.

Jan 2023 - Present (3 years 5 months)

Developed an image data versioning and training-as-a-service platform, upgraded classifier/detector architectures improving detection performance, and integrated FastAPI, PostgreSQL, and Azure/AWS services to productionize ML systems.

IL

Machine Learning Intern

Inspiring Lab Pvt. Ltd.

Oct 2022 - Jan 2023 (3 months)

Built custom computer vision models for citizenship image OCR and feature detection, led dataset annotation using CVAT/Labelbox/Roboflow, and deployed demo apps with Streamlit.

Education

Degrees, certifications, and relevant coursework

AK

Aditya Engineering College (JNTU Kakinada)

Bachelor of Technology, Computer Science and Engineering

2017 - 2021

Completed a B.Tech in Computer Science and Engineering with coursework and projects focused on computer vision, deep learning, and backend deployment.

deeplearning.ai logoDE

deeplearning.ai

Professional Course, Deep Learning

2020 - 2020

Completed short courses on neural networks, deep learning, CNNs, and hyperparameter tuning to strengthen practical deep learning skills.

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