Nishanth Muruganantham is a Senior Software Engineer with five-plus years of hands-on experience building Python-first backend systems, serverless APIs, and ML-powered features for products in education and customer experience. He specializes in Django/Flask web development, Pandas-based data workflows, NLP and computer vision pipelines, and AWS serverless services (API Gateway, Lambda, S3, SQS, SES), and has led CI/CD and DevOps improvements using GitLab, Jenkins and Docker. At IDP he improved scalability for IELTS backend systems and delivered a CV-based identity verification pipeline; earlier roles include cutting prediction latency by 70% at Genesys through an LRU cache and shipping NLP-driven automation at TCS. He’s built and globally hosted multiple web apps (including a Django portfolio site and a Flask NDTV scraping API) and published a PyPI package for cricket tournament simulation, reflecting a practical blend of product focus and open-source mindset. Based in Chennai, he combines strong cloud architecture intuition with a knack for turning sports enthusiasm into analytic tools that surface non-obvious insights.
The Duckworth-Lewis-Stern (DLS) Method Par Score Calculator is a Django website designed to calculate the revised target score for cricket matches affected by rain or interruptions. The DLS Method is a mathematical formula used to adjust the target score based on the number of overs played, wickets lost, and available resources.
Contributions:64 PRs, 48 pushes, 51 branches in 2 years 7 months
This API will scrap the news content present in the NDTV website will provide the data in a JSON format.
Contributions:4 reviews, 72 commits, 4 PRs in 1 year 8 months
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