Arya Sadigale
@aryasadigale
AI/ML engineer specializing in computer vision, model deployment, and scalable inference pipelines.
What I'm looking for
I am an AI/ML engineer focused on computer vision and production-ready model deployment, with hands-on experience building Detectron2 and CNN-based systems for tamper, disease, crop, and weed detection.
My work includes developing modular Python inference pipelines, secure Flask APIs with Firebase authentication, ETL pipelines and multilingual UIs, improving model reliability and reducing report generation time by 40%.
I collaborate closely with researchers and cross-functional teams, document model logic and evaluation, and deliver scalable solutions leveraging cloud platforms, containerization, and robust logging for reproducible ML workflows.
Experience
Work history, roles, and key accomplishments
Project Fellow
TIH-IoT Chanakya Fellowship | IIT Bombay
Dec 2024 - Oct 2025 (10 months)
Built AI-driven computer vision systems using Detectron2 and CNNs for tamper and disease detection, improving model accuracy and reliability; designed secure Flask APIs with Firebase authentication that reduced report generation time by 40%.
AI Research Intern
Suncreattica
May 2025 - Jun 2025 (1 month)
Built Mask R-CNN–based crop and weed detection using Detectron2 and ResNet-50 with pixel-level segmentation, annotated COCO-format datasets and implemented ETL pipelines to log inferences for evaluation.
Education
Degrees, certifications, and relevant coursework
Vidyalankar Institute of Technology
Bachelor of Technology, Information Technology (AI/ML)
Grade: 9.59
B.Tech in Information Technology with specialization in AI/ML; achieved a 9.59 GPA/CGPA.
Andra Education High School
HSC, Higher Secondary
Grade: 63.80%
Higher Secondary Certificate (HSC) completed with 63.80%.
St. Paul High School
SSC, Secondary Education
Grade: 75.20%
Secondary School Certificate (SSC) completed with 75.20%.
Availability
Location
Authorized to work in
Job categories
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