Dibya Chandra Adhikari
@dibyachandraadhikari
AI/ML engineer specializing in computer vision, multimodal models, and backend systems.
What I'm looking for
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
AI/ML Engineer
Inspiring Lab Pvt. Ltd.
Jan 2023 - Present (2 years 8 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.
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
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
Professional Course, Deep Learning
2020 - 2020
Completed short courses on neural networks, deep learning, CNNs, and hyperparameter tuning to strengthen practical deep learning skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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