Parth Kulkarni
Software Engineer @瞬联软件科技
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WORK HISTORY
Software Engineer @瞬联软件科技
Built GPU-accelerated Python pipelines to process videos (~13 minutes each,~216 hours); modularized ingest, frame extraction, batched inference, and 30 FPS video rendering with drawn bounding boxes and confidence scores- Integrated YOLOv8, RF-DETR, and Detectron2 with standardized I/O and eval hooks to compare precision/recall across datasets- Emitted validated, queryable artifacts: output videos (30 FPS) plus CSVs (frame, cx, cy, w, h, score), with strict schemas, directory conventions, and filters for invalid boxes/scores-
EDUCATION
North Carolina State University
Master's degree, Computer Science
Savitribai Phule Pune University
Bachelor of Engineering - BE, Computer Science
ABOUT PARTH KULKARNI
I\'m a software engineer focused on backend systems and infrastructure, with an Master\'s…
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