Kunal Jain is an experienced Machine Learning and Data Science professional with expertise in Computer Vision, Deep Learning, and Data Engineering. He has a proven track record of developing and deploying ML pipelines using technologies like PyTorch, TensorFlow, AWS, and GCP. His experience includes model fine-tuning, infrastructure management using Terraform, and developing solutions for process automation and accident detection.
Experience
Data Scientist
Artefact
Marketing Analytics
Machine Learning Engineer
Trantor Software
Worked on Computer Vision pipelines; Worked on fine-tuning Text Recognition models for Process Automation usecase; Worked on AWS and GCP serverless services for model deployment; Worked on Terrafrom for ML infrastructure management; Worked on model conversion and performance analysis.
Machine Learning Engineer
Stratforge Labs
Worked on Text Classification and Audio Analysis for Agent Assessment System usecase; Worked on Data Generation, Data Annotation, Data Cleaning and Experiment Design; Worked on Dashboard Design and POCs.
Intern - Machine Learning
Neva Innovation Labs
Worked on Comparative Negligence identification for insurance usecase; Worked on fine-tuning object detection models for Accident Detection; Worked on rule based Foreign Vehicle Detection and Accident Type Classification; Conducted knowledge sharing sessions with the ML team.
Education
SRM University
B.Tech
Computer Science and Engineering