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Abhishek Choudhary

Software Developer | Data Engineer

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About me

Abhishek Choudhary is a dynamic software engineer with expertise in Python, C++, and PostgreSQL. With a Bachelor's degree in Computer Engineering, he excels in data engineering, ETL, and data analysis and software development using Django. Currently an Associate Software Engineer at Blue Optima, Abhishek specializes in building integrations, data pipelines, and impactful dashboards on Grafana. He also actively works as a part of the R&D team at Blue Optima, conceptualizing and prototyping groundbreaking new products and features. His experience at Novartis strengthened his skills in enhancing medical data integrations. Outside of work, Abhishek's passion lies in building creative side projects and technical research. With a keen interest in photography and playing video games, he seeks new opportunities to apply his expertise and drive innovation.

Check out his projects on GitHub.

Skills



Experience

BlueOptima

Associate Software Engineer

Building and owning integrations and data pipelines across multiple data sources including Zendesk, Xero, SuiteCRM, G Suite, Jira etc. with relational databases using Python, Airflow, Spring Boot and message queues

Owning the backend and data quality for the entirety of internal reporting for the organisation

Identified strong KPIs and built dashboards on Grafana for CXO's, customer facing teams, engineering team leads, and talent teams for any and all data needs

Championed the adoption of Airflow, a next-gen centralized platform for the engineering and analytics teams to view and manage data pipelines to reduce deployment and maintainence times by 80%

Ensured high data extraction health, took ownership of data quality and built a robust alerting mechanism for extraction failures.

Actively managing the server including deployments, database changes, docker containers etc.

Novartis

Technical Associate

Driving enhancements in IT as part of the global software development team.

Novartis

Intern

Responsible for creating custom audits for IT Master Data to ensure data integrity during migration of IT infrastructure to ServiceNow.

Also received the Gem of the Team Award for best overall performing intern during the period.

Education

Thapar Institute of Engineering and Technology

Aug 2017 - Jul 2021

Bachelor of Technology in Computer Science

> Graduated with a CGPA of 8.67/10 from a renowned Indian institute.
> National level finalist in the largest hackathon in the world - Smart India Hackathon - 2019.
> Secured an all-India rank 24 in IICDC by working on a 3D holographic display for Texas Instruments.

Major Courses and Certifications

Google Data Analytics Professional Certification

July 2021

Google and Coursera

Completed a set of 8 courses and corresponding challenges on Coursera

ServiceNow ATF micro-certification

April 2021

ServiceNow

Completed a course on ATF framework in ServiceNow and cleared the corresponding challenges

Achievements and Accomplishments

Aug 2023
Research Publication

First author of a research publication on gene-powered lung cancer prediction in an esteemed journal   [View]

Jun 2021
Gem of the Team Award

Recognised for best overall performance during my internship at Novartis Healthcare

May 2021
Winner, Technical Challenge Hackathon, Novartis

Developed a fuzzy search tool that performed most efficiently among all teams in an internal hackathon at Novartis

March 2021
Semi-finalist, IICDC (AIR 24)

Secured an all India rank 24 in semi-finals. Worked on a 3D-Hologram display technology, in a national-level hackathon, organised by Texas Instruments (TI).

March 2019
Finalist, SIH - 2019

Competed at national-level finals in the largest hackathon in the world - Smart India Hackathon. Worked on developing a startup e-marketplace.

November 2018
Winner, Smart Thapar Hackathon

Developed a website for Enactus, TIET in a college-level hackathon

Projects

Gene-powered Lung Cancer Prediction (published)

First-author of a research publication in collaboration with professors and medical practitioners to detect lung cancer in individuals. Developed a novel ensemble classifier to predict cancer and its type using feature combinations of XRCC1 gene polymorphism.

Published in the Journal for Biomolecular Structures and Dynamics (View)

Dreamcatcher

An innovative AI-powered journaling companion designed to transform the solitary act of journaling into an engaging and interactive experience. Orchestrated complete deployment on DigitalOcean and domain setup for a seamless product experience.

Documentation and snapshots (View on Github)

Human Pokemon Image Translator

A Tensorflow 2.2.0 implementation of a cycleGAN that converts images of humans into Pokemon and vice-versa. I scaled the dataset size from 1k to 10k images by using fan-made art in addition to the original images.

View on GitHub

LUMOS

Built a web-app for low-light image enhancement, under the mentorship of professors from Trinity College, Dublin and TIET, Patiala. Developed a data -driven ensemble model for identifying the best possible enhancement technique to apply on a given image. Implemented multiple Image Quality Assessment (IQA) techniques to ensure high-quality results.

View on GitHub

COVID-19 AI Screener

Developed a real-time mask (using MobileNetV2) and temperature detector, that uses video and thermal input. Built a user-friendly GUI, later integrated with hardware to deliver a standalone product.

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