Hi, my name is Anand Kumar
I am a Software Engineer | Open Source Developer | Data Scientist

Software Engineer Intern at the world's biggest Enterprise Open-Source Organization. Currently working on Tekton - A Kubernetes-based CI/CD Pipeline using Go Lang. Also working on OpenShift, downstream version of Tekton.

Software Engineer Intern at one the world's biggest Financial Service Firm. Restructured Data Model of Guidance Panel of the COBN portal by combining all data models into a single data model and parsed data using Sybase SQL, Reladomo ORM, Java.

Created REST API to fetch guidance from the new data model and used Redux-Saga to update the states on frontend based on React JS. Modernized Frontend by adding new features like adding tabs, collapse sections to make guidance panel more structured and easier for users to navigate through it.

I was an Open Source Developer at Google Summer of Code 2021 as part of OpenAstronomy organization. I developed an optimum Lineshape solution for Radis Radiation increasing performance by 40x times for infrared spectrum calculation by writing 4200+ lines of code.

Identified bottlenecks in current implementation by creating a self made Profiler that stores and prints the parameters, steps along their value and calculation time respectively. Derived/Verified the exact time complexity of all methods by running 50+ benchmarks and analyzing it using Tableau, Bokeh and MatplotLib. You can check out my whole summary of my GSoC journey by clicking the `See Live` button.

Project Maintainer at Radis Open-Source organization with 150+ stars. Successfully Mentored 4 projects under Google Summer of Code 2022, performed code reviews, resolved issues, and guided mentees throughout the program

Became 3rd highest contributor with 130+ commits. Published a new version on PyPI and drafted a new release on GitHub.

Data Science Intern at Bookscribs, a US based Startup. Worked on budget prediction model using 7 different parameters of a movie script based on its story adaptation. Preprocessed 560+ data, trained model using different loss functions using scipy optimize library (rosa) and custom Root Mean Square Error function, and compared performance with baseline method.

Annotated over 1500+ sentences for 10 Cinematic Syntax Assimilation Parameters for different indicators analyzing Sentimentality with respect to CSA parameter.

I'm a former Data Analyst Intern at Pikkal & Co, Singapore where I made diverse Visualizations and Data Analysis primarily based on 1 Million+ podcasts data using Tableau to derive relation of Cadence(Constistency) of episodes of a PodcastS. Built a prototype model for AWS Transcribe using Django and examined AWS Codeguru’s compatibility with the existing codebase.

Improved features of App2 Website; Increased accuracy/performance of NLP model by 15% by using new Web Scraping technique. See my report by clicking on `Optimizing Podcast Cadence` buy clicking See Live button.

I'm a former Deep Learning Intern at Mavoix Solutions Private Limited, Bangalore where Introduced 3 OCR models using PyTesseract, Google Vision and AWS Textract for extracting various blood tests and their values from CBC reports, Urine tests, etc.

Designed a web scraper for searching websites and extracting Causes, Symptoms, Treatment, and Diagnoses of any disease and also finding medicines for the same. Devised recommendation system in which we will get 3 inputs from the user, find abnormalities and give suggestions accordingly.