Hrithik Kanoje

Background

About Hrithik Kanoje

I’m a Full Stack AI Developer who loves taking ideas from concept to reality — building everything from research prototypes to production-ready AI systems. My work lives at the intersection of machine learning, software engineering, and cloud deployment, and I enjoy making complex AI systems both powerful and easy to use. I earned my Master’s in Robotics & AI from Northeastern University and my Bachelor’s in Electronics & Telecommunication Engineering from Pune University. Along the way, I’ve worked on- Full Stack AI Development – REST APIs with FastAPI, data pipelines with MongoDB, orchestration with Airflow, and cloud platforms like AWS & GCP- Computer Vision – Vision Transformers, Faster R-CNN, YOLO, and CUDA-accelerated image processing- Generative AI & NLP – Multimodal models, Retrieval-Augmented Generation, and LLM fine-tuning- MLOps – AWS SageMaker, MLflow, Docker, Kubernetes, and CI/CD automation. Some things I’m proud of- Boosting object detection accuracy to 94% mAP with smart augmentation and tuning- Cutting large-scale image preprocessing time in half with CUDA acceleration- Building AI-powered chatbots that save hours of manual financial data analysis- Contributing to Hugging Face open source, making LLMs run locally for cost savings. At the end of the day, I’m driven by impact — building AI solutions that are measurable, scalable, and useful. If you’re working on something exciting in AI, let’s connect.