Nov 2023 – Jan 2024 · 2 mos · Delhi, India

• Transitioned from the US to India
• Took care of elderly parents
• Explored India
• Explored Ayurveda

Sep 2021 – Dec 2021 · 3 mos · Virginia, United States

• Provided expert guidance to the Cary Pharmaceutical for research on "Normative database collection" by doing literature survey. Also, proof-read their NIH grant application.
• Provided direction to procure relevant and further resources for onboarding of the project on Concussion research.

Nov 2020 – Oct 2023 · 2 yrs 11 mos

• Tech stack:- Python, Grafana, InfluxDB, MySQL, Pytest, Docker, CI/CD pipeline (build service), YAML.
• Data-science tools:- pandas, numpy, seaborn, matplotlib
• Project 3:- Designed, and development of a generic analytical platform/application to determine varying threshold value based on traffic pattern. This would help in determining, and dealing with false-negatives in data-centre usage.
• Project 2:- Led and maintaned a machine learning platform for time-series forecasting for cross org benefits. This project reduced manual prediction of data-centre capacity prediction by 90%.
• Modules:- IO Handling
• Data-drift
• Different library integration
• Automatic report generation on breach days
• Multi-processing/Optimization/Parallelization
• Designed SQL tables.
• Telemetry
• Designed & implemented Backtesting
• Mentored newly boarded team-mate
• Generated actionable insights/reports for capacity forecasts using Arima & Bayesian models.
• Contributed in company's knowledge base by writing core documentation on the app, and its related feature's concepts.
• Project 1:- Developed an anonymous app - "AskIt" as a part of Oracle annual hackathon 2022. The main goal of this project is to provide a platform to seek any sort of guidance in an anonymous way.

Oct 2019 – Oct 2020 · 1 yr

• Key highlights:-
• Project 1: - End to end development of canary test-suite for console telemetry service, and deployed it on 8 realms of Oracle cloud - OC1-OC8 (attached is the workflow). Created visualization dashboard for Console telemetry canary test-suite to see if the metrics are properly fetching on the Grafana dashboard
• Project 2: - Optimized console platform mono-repo build time by 50 % using various front end tools, and technologies like lerna, webpack etc.
• Project 3:- Improved code coverage of console telemetry service from 20 % to 85 % by writing extensive end to end test-cases. Kept on par the mono-repo with upgraded library packages, and resolved issues on the go.
• Project 4:- Contributing to Oracle front end mono-repo packages by improving their UI accessibility project, and design bug optimization.
• Mentored summer interns during summer 2020, 2021
• Was on-call multiple times (24*7) for few weeks during this timeframe.
• Won Oracle annual Hackathon in 2020 by developing a POC on anonymous hiring in companies. The project is being developed by Oracle.
• Participated in the annual Anthem AI 2020 hackathon.
• Executed sprint planning for a few months in 2020

Feb 2019 – Aug 2019 · 6 mos · Seattle, Washington, United States

• Technologies:- Python, Protobuf.
• Project 1: - Designed, and developed a POC for a visualizer to render stripe (https://github.com/plaidml/plaidml/blob/master/tile/stripe/stripe.proto) on tensorboard using protobuf API.
• Project 2 - Researched on VTI architecture to see how matrix multiplication can be mapped on that VTI platform.
• Holder of Intel scholarship to attend NCWIT conference at Tennessee.

Aug 2018 – Jan 2019 · 5 mos · United States

• Coursework:- Discrete structures and computing
• Attended weekly lectures.
• Held weekly office-hours.
• Led a team of 4 graders.

Jan 2017 – May 2018 · 1 yr 4 mos · United States

• Coursework:- Intro to programming in C++
• Took weekly labs (virtually)
• Held weekly help-sessions.
• Graded design documents
• Coursework:- Intro to programming
• Automation of programming assignments on Vocareum platform using python and shell script.

May 2018 – Aug 2018 · 3 mos · Pennsylvania, United States

• Project:- Developed a prototype to find non-functional machine in chemical industry just on the basis of the sound waves.
• Technologies:- Python, Keras, Tensorflow, AWS, Google Colab.
• Designed, and developed an acoustic image classification "workflow system" with Convolutional Neural Networks using Google audioset dataset.
• Trained a LeNet architecture to understand transfer learning for this prototype development.
• Improved accuracy of this algorithm upto 89% image classification accuracy using marking concept

Aug 2016 – May 2017 · 9 mos · United States

• https://www.linkedin.com/groups/8579990
• Key contributor in developing different engineering course content in regional language to outreach it to non-English speaker of India. Worked on several research talk based on several machine learning papers mentioned on - "http://scholar.stanford.edu/".

Aug 2014 – Aug 2016 · 2 yrs · Bangalore Urban, Karnataka, India

• . Analyzed IOT data collected from different sensors.
• Developed an ETL/workflow to continue monitoring data and representing it on the dashboard.
• End to end designing and implementation of Python application to extract errors from logs, and rank them
• Mentored several graduate, and undergraduate interns during summers (2015, 2016)

Jan 2014 – Jun 2014 · 5 mos · Nottinghamshire, England, United Kingdom

• Project:- Developed a full stack application for Nottingham Health Services.
• Technologies:- Meteor JS framework, MongoDB.
• Single handedly designed, and developed NHS portal to report minor incidents in the hospital
• End to end testing of the website on different platforms (OS, and hardware devices)
• Compared easiness of this website against all the existing websites like survey.com etc.
• Github code can be found here - https://github.com/pszjmb1/grumblebutton by name "psxpa3"