Passionate Data Scientist with strong Computer vision skills, 6 years experience in working with FinTech, Automotive, Insurance and Finance industry. Skilled in Python, Computer vision, and ML/AI. Strong, Dynamic, and composed AI professional with a bachelor's degree in CSE, Data science specialization, and relevant course certificates.I can do -:🔸Object detection🔸Image classification🔸Scaling infrastructure - Kubernetes🔸AI/ML Product Development🔸Research paper implementation🔸Finantial Fraud Detection🔸Rest API creation (Django)🔸Model Deployment🔸NLP-based projectsIndustry Projects:🔹 Architecting CLIFF: A Scalable Image Search Engine:• Created CLIFF, a scalable image search engine utilizing deep learning embeddings and powered by Qdrant for efficient similarity searches via cosine distance.• Developed a highly scalable image search platform in Python leveraging Azure Kubernetes.• Engineered solutions following agile methodologies, prioritizing clean code, object-oriented programming (OOP), and design patterns. Technologies employed include FastAPI, Kubernetes, Azure cloud suite, Azure service bus, Terraform, Postgresql, and Qdrant.🔹KYC Automation:• Detection: Developed object detection model to detect KYC card using SSD• OCR: Implemented different solutions like Tesseract, Google vision, Azure vision OCR• Extraction: Mapping using various regex/logic to extract key entities• Model Deployment: Used Tensorflow Serving to deploy various models🔹Face liveliness and Face matching:• Filter out non-live (Photo of a photo, mask on face, video replay) from face images• Used ensemble learning with various image classification models🔹Document Corner detection:• Real-time corner detection by recursive application of a CNN• Implemented a research paper to replicate CamScanner• Executed end-to-end pipeline from data collection to implementation of novel CNN architectures in Keras.🔹Car damage detection using Deep Learning:• Trained an end-to-end image-based car damage detector with feedback learning capability for automation in insurance industries🔹Bank Transaction Categorization:• Labelled bank statement transactions for credit underwriting decisions.Tools & Technologies:🔸Python🔸Deep Learning(DNN/CNN/RNN)🔸Anaconda/PyCharm/Jupyter Notebooks🔸Tensorflow/Keras/pandas/sk-learn/matplotlib🔸CUDA/Cloud Computing🔸Ensemble – Bagging/Boosting(XGboost, Adaboost, GBM)🔸Hyperparameter Tuning/Model SelectionFeel free to connect with me at:ashishjindal1997@gmail.com+91-8107259905