Govind Sri Rengarajan Email and Phone Number
Govind Sri Rengarajan is a Machine Learning Engineer at Woolworths Group at Woolworths Group. He possess expertise in java, c, computer architecture, c++. Colleagues describe him as "Govind started as an intern at Xailient. He impressed me with his dedication, work ethic and passion. This is why when an opening came up after he has finished his internship and moved on, he was the first person I thought of and suggested. He has not disappointed since coming on board as full-time engineer. Govind asks questions about the problem or task if he doesn't understand before he starts on it. He keeps everyone updated of progress throughout scrums and promptly raises possible issues. One of the things I appreciate most about Govind is his receptivity to feedback, he is always eager to learn and get better. I wish him all the best." and "Govind joined Xailient as a Deep Learning Engineer Intern in April 2020. Throughout his internship, I had the opportunity to work with him on several research projects where he acted as my research assistant. He also worked with several other senior engineers and scientists in our team, so he’s a great team player. Govind is one of the most hardworking interns I have ever had the privilege of mentoring! I have never met anyone so enthusiastic and diligent about his work. Govind worked on all sorts of stuff, from dataset curation to model training and evaluation using TensorFlow, Keras and our own training pipeline! Govind was able to learn and pick things up very quickly. He would always be running out of work because he was just so fast! I believe that Govind would be an asset to any organization looking for a good machine learning engineer, as he brings a tremendous amount of energy and enthusiasm to his work. He is a very bright and qualified individual, and a pleasure to work with!"
Woolworths Group
View- Website:
- woolworthsgroup.com.au
- Employees:
- 39505
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Machine Learning EngineerWoolworths Group Oct 2022 - PresentSydney, New South Wales, Australia
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Associate ConsultantServian May 2022 - Sep 2022Sydney, New South Wales, Australia• Worked as a MLOps Engineer for a client of Servian• Created an inference CI/CD pipeline for the client that had multiple deep learning based models to be deployed for inference• Used Amazon AWS Sagemaker, Step functions, Lambda, S3 and ECR to create the inference pipeline• Configured and used a docker image that would eventually be used in the pipeline• Write Lambda function using Python and use AWS data science sdk (using python) for creating the stepfunction• Configure the right AWS instance type depending on the purpose of use• Perform an end-to-end testing of the entire pipeline to ensure everything worksTechnology used as a part of Servian: Python, AWS Sagemaker, Stepfunction, Lambda, S3, ECR, docker -
Machine Learning EngineerXailient Inc. Jan 2021 - May 2022Melbourne, Victoria, AustraliaResponsibilities – Machine Learning Engineer:• Research, design and develop a new pipeline for an upcoming feature for the product using Python, Tensorflow, Keras• Performed Unit and regression testing on the new feature• Adhere to CI/CD pipeline and other solid software engineering principles• Write corresponding Lambda functions on the AWS cloud that handles the REST API requests using Python, AWS SAM framework• Work effectively within an Agile cross-functional team scattered across the globe• Been involved in setting up and modifying the pipeline that does image preprocessing, model training, model evaluation, deploying the model in S3 bucket for the use by customers, other stakeholdersResponsibilities – Data Scientist:• Worked as a part of R&P team with the major task to understand the implications of the model, improve its accuracy and include it as a part of production pipeline• Implement new and emerging techniques from different scientific publications and perform experiments to analyze the results qualitatively and quantitatively• Modify the neural network architecture to improve the accuracy of the model• Perform various experiments on numerous problems, hypothesis involved in improving the accuracy of the model, dealing with memory constraints etc. Setting up the experiments, analyzing the results, reporting to peers, implementing the changes accordingly -
Software DeveloperZetaris Data Fabric Sep 2020 - Jan 2021Melbourne, Victoria, Australia● Design and develop new features of Zetaris Cloud Data Fabric in Scala● Research, analyze, contribute to the functional and technical design, implement the cache functionality by leveraging Apache Ignite for Zetaris Lightning application using Scala and SQL. Brought down the query execution time on the tables containing millions of records by almost 50%● Ensure the solution meets the functional and technical specification according to organizational quality standards● Write unit-test cases, conduct test-case and peer code reviews for the implemented functionality● Build, package, integrate the functionality into Zetaris Lightning application and deploy the application● Create and maintain the technical project documentation for the implemented functionality● Work effectively within an Agile cross-functional team. Actively engaging and contributing to the continuous improvement of Agile, lean process and practices -
Deep Learning Engineer InternXailient Inc. Apr 2020 - Sep 2020Melbourne, Victoria, Australia• Identifying appropriate visual datasets to train the deep learning based model. Choose appropriate images after thorough analysis of the end use-case, create label file for the same as per Xailient accepted standards using python.• Use Xailient sdk containing the model to develop the computer vision applications. Wrote clean and re-usable code using Python and OpenCV.• Generate insights and perform various machine learning/deep learning/data science experiments to evaluate the performance of the model and optimize it, when needed.• Compare different object detection solutions by training the deep neural networks from the scratch and analyze their accuracy (mAP) and inference times on different datasets. Build models using Tensorflow Object Detection API using Python, Tensorflow. Training the model in an AWS EC2 instance with GPU.• Work as a part of the R&D team to assist the CTO by conducting research, experimentation, documentation of other similar open source computer vision products. Using their pre-trained models to derive insights for comparison.• Develop a MobileNetV2 based deep learning model from the scratch using keras and tensorflow backend. Train the model on huge datasets like ImageNet having over a million images. The model was developed for research purpose to compare it with custom Xailient models.
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Data AnalystTig Freight Management Oct 2018 - Apr 2020Melbourne, Australia• Analyzing, cleansing and verifying the integrity of the customer's data coming in from the leading freight carriers in Australia before being fed into the internal system. -
Software Developer (Remote)Industrial Automation Group Pty Ltd Jan 2020 - Feb 2020Perth, Western Australia, Australia• Gather requirements from the stakeholders.• Understanding the requirements and going through the changes in the data structure in the backend and critically formulate and evaluate a new design.• Understanding the code and formulating changes to the application.• Using ASP. Net, C#, Razor, LINQ, Javascript, JQuery, HTML, CSS, Bootstrap 3, Ajax, and MVC concepts to develop the refreshed design.• Formulate test cases and check if the system is working as per the desired outcome.• Using BitBucket as the version control repository. -
Associate Software EngineerFidelity Investments Oct 2016 - Jan 2018Chennai Area, India• Worked as a part of Data Conversion and Implementation team which dealt with crucial and sensitive data of all the Fidelity's clients in the retirement services business.• Responsible for developing and implementing multiple projects in the Defined Contribution retirement services space (401k plan).• Been part of crucial business level projects and have completed all the tasks with due diligence. A good understanding about the business especially the 401K Plan (based on the US).• Extensively focused on data extraction, transformation (development), analysis, loading and reporting of DC data using Base SAS.• Ensure a smooth conversion process by working closely with the onsite data conversion consultants.• Involved in migration project from SAS on mainframe to SAS on Linux and successfully completed migrating the modules assigned. Worked extensively on the back-end using DB2. Fidelity Research team:• An active contributor to the Fidelity Research team. • Worked on a project related to Stock prediction (of numerous customers) using machine learning. The work majorly focused on Data Wrangling and Data Visualization using Python andTableau. -
Graduate Software EngineerFidelity Investments Aug 2016 - Oct 2016Chennai, Tamil Nadu• Trained predominantly on z/OS, COBOL, JCL, CICS and DB2.• Underwent training on Agile, writing, communication and all important aspects for working in a professional environment.• Worked and led a team of 5 for successful completion of a project using COBOL, JCL, CICS, DB2 during the training phase.
Govind Sri Rengarajan Skills
Govind Sri Rengarajan Education Details
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Information Technology -
Sastra UnivesityComputer Science And Engineering
Frequently Asked Questions about Govind Sri Rengarajan
What company does Govind Sri Rengarajan work for?
Govind Sri Rengarajan works for Woolworths Group
What is Govind Sri Rengarajan's role at the current company?
Govind Sri Rengarajan's current role is Machine Learning Engineer at Woolworths Group.
What schools did Govind Sri Rengarajan attend?
Govind Sri Rengarajan attended Monash University, Sastra Univesity.
What are some of Govind Sri Rengarajan's interests?
Govind Sri Rengarajan has interest in Computer Networking, Computer And Network Security, Embedded Systems, Neural Networks, Mainframes, Human Rights, Education, Virtual Reality, Science And Technology, Augmented Reality.
What skills is Govind Sri Rengarajan known for?
Govind Sri Rengarajan has skills like Java, C, Computer Architecture, C++.
Who are Govind Sri Rengarajan's colleagues?
Govind Sri Rengarajan's colleagues are Jonathan Oakes, Judie Thompson, Luke Davies, Yas Pav, Mehran Safa, Judy Martin, Belinda Phillips.
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