Summary
Akhil Chandran is a pragmatic Data Scientist with over a decade of engineering experience and 5.5+ years focused on machine learning, currently leading AI initiatives at Air India to deploy production-grade computer vision and LLM systems. He has delivered domain-specific solutions across aviation, automotive, and industrial settings—ranging from queue and passenger behavior analysis to LLM-powered passport/visa verification, facial recognition for VIPs, and predictive maintenance. Comfortable across the ML lifecycle, he translates complex business needs into scalable deployments using Python, TensorFlow/PyTorch, OpenCV, and MLOps tooling like MLflow and Airflow. Akhil also experiments with LLaMA fine-tuning via LoRA to build specialized language-vision models, and brings practical NLP expertise from building custom BERT/Spacy pipelines for enterprise clients. Outside of projects, he enjoys sharing AI knowledge through sessions and blends a curiosity for travel and photography into a people-centered approach to problem solving.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (BTech), Bachelor of Technology (BTech) at College of Engineering Chengannur
Elementary School, Elementary School at Mukundapuram Public School
Higher Secondary, Higher Secondary at Don Bosco HSS
Master of Technology - MTech, Master of Technology - MTech at Dr. B R Ambedkar National Institute of Technology, Jalandhar ( PUNJAB)
Malayalam, English, Tamil