India
I have over 15+ years, Author, Data Scientist and Researcher with 12.5+ Years of Experience of Data Science technology and Research experience in wide functions including predictive modelling, data preprocessing, feature engineering, machine learning and deep learning. Currently, I work as Sr.Aws AI ML Solution Architect(Chief Data Scientist) at IBM India Pvt Ltd. Helps to Collaborate with IBM and AWS specialists to design and build complex enterprise solutions with the foundation of Red Hat Open Shift, AWS Infrastructure, and IBM Software technology. Standardize solutions in accordance with the AWS Well-Architected Framework across all pillars, including operational excellence, security, performance efficiency, cost optimisation, and reliability. If you catch me outside of work, I'm an adventurous traveller and avid cricket lover! ๐๐ผ๐บ๐ฝ๐ฒ๐๐ฒ๐ป๐ฐ๐ถ๐ฒ๐: Data science, Machine learning, Deep learning, Audio Processing, Python, Computer Vision, SQL, Keras, TensorFlow, Librosa, Pyaudio, Mlflow, tube flow, mlops, DVC, MLOps on AWS, Kubeflow on AWS, Enterprise LLMs Services: Amazon Bedrock, Amazon Titan, IBM WatsonX.ai, Azure OpenAI, NvidiaNemo, Google PaLM LLMs Knowledge: GPT-4, Claude, ChatGPT, OpenChat, UltraLM, OpenCoderPlus, WizardLM, Nous Hermes, Vicuna, Baize-v2, Guanaco, Minotaur, Davinci003, Falcon, Alpaca Farm PPO Sim (GPT-4), Pythia, Cohere, Alpaca Farm PPO Human, Cohere Chat, Alpaca, Falcon 7B Instruct, Davinci001. MLOps on AWS Services: Amazon SageMaker, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit, AWS CodeDeploy, AWS Batch, AWS Glue, AWS Data Pipeline, Amazon Elastic Container Service, AWS Farget, AWS Lambda, AWS EKS(Elastic Kubernetes Service), AWS ECS(Elastic Container Service), AWS APP Runner, AWS Cloud Formation, AWS ECR(Elastic Container Registry), AWS CloudWatch, AWS Auto Scaling, AWS CloudTrail, AWS EC2, AWS EBS(Elastic Block Store), AWS S3, AWS Route53 I also like meeting new people over a cup of coffee. Feel free to reach out at [email protected] I am a passionate blogger, Researcher like to write about Machine learning and deep learning related Articles. you can visit my blog ๐๐ถ๐ป๐ธ: https://medium.com/ml-research-lab. book: https://www.amazon.in/B-V-Vishwas-ebook/dp/B08GLG46PQ/ Orcid Profile: https://orcid.org/0000-0002-5385-3897 Google Scholar : https://scholar.google.com/citations?hl=en&authuser=1&user=MfHiCbkAAAAJ P.S. If you're passionate about creating tech-focused products to help people reach their potential, I am happy to connect at https://www.linkedin.com/in/ashishpatel2604
โข Interact with customer and come up with use-caseโs on ML/AI and use the same in solution integration on existing business. โข Selecting features, building, and optimizing classifiers using machine learning techniques. โข Develop and test Computer vision algorithms to edge devices and advanced hardware systems created. โข Develop and evaluate state-of-the-art computer vision algorithms for real-time edge devices and other hardware devices. โข Perform technical performance benchmarking and analyses to support engineering decisions โข Data mining using state-of-the-art methods โข Extending companyโs data with third party sources of information when needed โข Enhancing data collection procedures to include information that is relevant for building analytic systems โข Processing, cleansing, and verifying the integrity of data used for analysis. โข Participate in design reviews. โข Doing ad-hoc analysis and presenting results in a clear manner โข Creating automated anomaly detection systems and constant tracking of its performance โข Research and devise innovative statistical models for data analysis โข Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products. โข Collaborate with product design and engineering to develop an understanding of needs and Quality. โข Analyse data for trends and patterns and Interpret data with a clear objective in mind. โข Provide deep learning and machine learning base solutions to Solve varies Real world problem. Projects : Semantic Segmentation, Image classification, 3d Sementic Segmentation, Few-shot Image Classification, Object detection, Image Quality Assessment, Pose Estimation, Key-point Detection, Image Augmentation, Super Resolution
- Teaching Computer vision to M.tech Students. Topics I teach: ๐๐ฎ๐๐ถ๐ฐ๐ ๐ผ๐ณ ๐๐ถ๐ด๐ถ๐๐ฎ๐น ๐๐บ๐ฎ๐ด๐ถ๐ป๐ด - Image Acquisition, Sampling, Quantization, Difference in Monochrome and Multichrome imaging, the concept of color spaces, point processing techniques, mask processing methods, image filtering, shape in images, edge detection, gradient operators- Roberts, Sobel, Prewitt, Canny, Slope magnitude method, morphological image processing, erosion, dilation, opening, closing, hit-n-miss transform, thinning, Top Hat transformation, Bottom hat transformation ๐๐บ๐ฎ๐ด๐ฒ ๐ฅ๐ฒ๐ฝ๐ฟ๐ฒ๐๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ฅ๐ฒ๐ด๐ถ๐ผ๐ป ๐๐ป๐ฎ๐น๐๐๐ถ๐ - Shape Descriptors-contour based, region-based, Boundary based; Thresholding based segmentation, Watershed based Segmentation, Gray level Co-occurrence Matrix-energy, entropy, maximum probability, contrast, correlation; wavelets, wavelet Pyramids, Image matching, - Hough Transform, RANSAC, Large-scale retrieval: Spatial Verification, TF-IDF, Query Expansion, feature encoding, Crowdsourcing, and Human Computation, Corners - Harris and Hessian Affine, Orientation Histogram, SIFT, SURF, HOG, GLOH, Scale-Space Analysis- Image Pyramids and Gaussian derivative filters, Gabor Filters and DWT.
TensorFlow Developer Certificate Guide : https://www.amazon.in/TensorFlow-Developer-Certificate-Comprehensive-Guide-ebook/dp/B0BVMQ1TZS