Builds forecasting solution for a prominent automotive client, worked on multiple time-series forecasting modules. The generated solution, saved the client ~5M dollars in parts inventory, in the first month. Worked to prepare the solution using, GIT, Databricks using Pyspark and Python and generated test cases using Pytest.

Using Docker and AWS Services to build and deploy ML Solutions. Worked on Sensor data, Predicting sensor failures. Tyre Defect detection Implementation - AWS Sagemaker Pipelines.

Senior Machine Learning NLP Engineer . Worked on content extraction and formulation engine, that takes in different input text forms like PDF, Document and creates question answer indices based on the data provided. This in turn is used as a searchable entity that can be used to power chatbot answering capability.I have worked on Emotion and sentiment analysis on chat-bot data sets. Worked on analysing the data using Tableau to get insights on the data and emotions. Won 1st place in a hackathon on the topic language identification and translation, conducted by IIT-Madras in association with DRDO. Created a speech recognition and translation engine that converts audio to translated text among 5 different asian languages using CMUSPhinx and deep learning.

Tech lead in the Robotics division which emphasizes in development of cognitive computing products, Robots, and OCR.I had lead teams to work on various hardware as well as software projects, where I had done medical projects on Object detection using Tensorflow, and Computer vision- OpenCV. I had worked on text extraction and localization where I worked on localization of the text using Faster-RCNN, extraction improvements using OpenCV algorithms to improve the quality of the contents of the documents and thus improve the extraction quality of the OCR (Tesseract). I used python, C++ for creating the code using IDEs such as Visual Studio, Jupyter notebook and spyder and libraries such as NLTK, Spacy, etc.I had also worked as a developer on POCs regarding data extraction and was successful in bringing a company to start their business with TCS, their first ever collaboration with TCS

Member in the Robotics division which emphasizes in development of cognitive computing products, OCR, and Robots.I developed machine learning models to analyze credit risk for a banking customer, thereby predict whether a person remitting EMI can be a defaulter or not way before he actually becomes one.I had developed modules for Image Classification using different techniques and algorithms like, SVM, Random Forest and CNN. There were various use cases like, Logo Recognition, Tidy Man logo classification and Page classification, all done for different customers from retail as well as BFS domain.I had also developed reusable modules for Barcode Detection, Image Rotation, Image Quality Analysis, etc.

Big Data Researcher and learning enabler.I had been part of the Innovation team where I developed modules such as Plagiarism Detector using LSH/BIG DATA where I utilized Apache Spark to create the module. The prototyping was done using Map-Reduce. I also developed Automatic parking lot assignment using Number Plate detection and recognition where I utilized Kafka and Spark Streaming.

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