Tanmay E. Patil
*** ***** ***** ***, *******, California, 94544
linkedin.com/in/tanmay-e-patil github.com/tanmay-e-patil
*****.**********@*****.*** +1-951-***-****
TECHNICAL SKILLS
Programming Languages: Python, C, C++, Java, Kotlin, Dart, SQL
Python Packages: numpy, pandas, Tensorflow, pyspark, matplotlib, scikit-learn, nltk, opencv, keras, flask
Programming Tools: Docker, Kubernetes, Postman, Jenkins, SonarQube, Git, Tableau, MATLAB
Big Data: Hadoop, Spark, Kafka
Operating Systems: Linux, Windows, macOS
Areas of Interests: AI, Machine Learning, Data Visualization, Image Processing. EXPERIENCE
E*Testment LLC (Python, Vim, slurm) San Jose, California Data Programmer Analyst Intern Oct 2020 - Jan 2021
Reduced the execution time of a python script by more than 230% by parallelizing the computations into slurm jobs. IBM India Private Limited (Python, Tensorflow, Flask, Docker, Kubernetes, IBM Cloud) Bengaluru, India Data Scientist Intern Jan 2019 - Jul 2019
Designed face detection and recognition models for an ID verification system by combining machine learning techniques of SVM, CNN using a dataset with more than 160,000 images that got a 90+% accuracy.
Achieved an accuracy of over 95% in an ID classification model to classify between different ID types.
Annotated 100+ documents and devised a table extraction and a signature extraction model to validate the methodology and guided 2 teams through the method.
Built a demo for Tuberculosis classification with an accuracy of over 85% with chest X-ray data.
Deployed a flask application on Kubernetes service from IBM Cloud. Reliance Jio Infocomm Limited (Python, Bash, Git, Phabricator, Jenkins, SonarQube) Ghansoli, India Software Engineer Intern - DevOps May 2018 - Aug 2018
Addressed a major issue in the Jio Coverage Platform code base by refactoring and removing duplicate files to make them compatible with the Windows file system which resulted in 20 MB smaller project size.
Created a DevOps pipeline that automated the build, backup, and code review/analysis and collaborated with teams to ensure a smooth transition to the updated tools, which led to a manual workload reduction of 30%. Reliance Corporate IT Park Limited (Java, XML) Ghansoli, India Software Engineer Intern - Android Jun 2017 - Jun 2017
Implemented the frontend for an android app that automated the traffic ticketing system inside the Reliance campus that would reduce the data entry time by more than 50%.
Developed a project assignment and feedback android app with different authorization levels with a team of 10 people. EDUCATION
University of California, Riverside Riverside, California Masters in Computer Science GPA: 3.39/4.0 Sep 2019 - Mar 2021
Relevant coursework : Advanced Computer Vision, Data Mining, Algorithms, Deep Learning, Machine Learning, Big Data Management, Database Management Systems, Scientific Computing, Artificial Intelligence NIIT University Neemrana, India
Bachelors of Technology in Computer Science and Engineering GPA: 8.13/10.0 Jul 2015 - Jul 2019 PROJECTS
Weather Prediction (Python, Tensorflow, numpy, pandas, scikit-learn) (link)
Devised a weather prediction algorithm to predict the temperature using a number of the previous temperatures using LSTM, Convolutional layers, and the predictions are within 1.5 C of the actual temperature. Fake Job Postings Prediction (Python, Tensorflow, numpy, pandas, nltk, scikit-learn) (link)
Trained neural networks to predict if job postings were fraudulent using LSTM and got an F1 score of 0.68. Network Intrusion Detection (Python, Apache Spark, numpy, pandas, pyspark)
Developed a multilayer perceptron model to classify attacks and different types of attacks. CoinAge (Java, Apache Kafka) (link)
Worked on the backend of a web application that shows the user current stock market data using Apache Kafka API.