Ai Panthers

"Programming" ... Defines my life. I have been into programming since teenage. Always ready to explore new technologies. Willing to engage in some serious work. I have been working in Machine Learning, Deep Learning and Data Science from past nine years.
Besides that I also have vast experience in network programming, cuda Programming , Android App Development and Web Development.
Clients ranging from startups to Fortune 500 companies across e-commerce, finance, IOT, audio, medicine, healthcare, real-estate and time series domains.

My past projects technical domains:

Linear regression, Logistic regression, PCA, Backpropagation, Autoencoders, Generative adversarial network, Reinforcement learning, Dropout regularization, K-means, KNN, SVM, Gaussian mixture model, EKF, UKF, Particle filter, SLAM, Stereo matching, Point cloud, Structure from motion, Path planning, Object detection, Classification, Localization, Segmentation, YOLO, OPENCV

• Natural Language Processing (NLP)
  --Prompt engineering for ChatGpt
  --Prompt engineering for Gemini
  -- intent, question answering, e-commerce search, conversations. DialogFlow, wit.ai
  -- Abstraction, Extraction Text Summerization, Query Based summerization.

• Time series analysis, prediction -- medical signals, stock/currency markets.

• Deep reinforcement learning -- decision-making/scheduling problems.

• Cloud (AWS, Azure, GCE) based network training and deployment.

Hands-on expertise with a range of deep learning tools:

• Tensorflow, Keras, TensorRT, PyTorch, TensorFlow Serving, Caffe, Deeplearning4j, Kubernetes, Tensorflow lite and Theano expert using CUDA backend.

• Distributed network training (across CPUs/GPUs).

• Building GPU-Accelerated Workflows with TensorFlow and Kubernetes

• Data processing: pandas, dask, h5py, Spark.

• Speech, Audio analysis
  -- speech to text, noise removal, source separation. DeepSpeech, DeepVoice, Alexa.
  --text to speech pocket phoenix,Kaldi toolkit