Hi, I'm Nishanth Muruganantham
Python Developer • AWS • AI Enthusiast
Building scalable solutions and leveraging cutting-edge technologies to solve complex problems
Python Developer • AWS • AI Enthusiast
Building scalable solutions and leveraging cutting-edge technologies to solve complex problems
I’m Nishanth, a passionate Python Developer and Data/AI enthusiast who enjoys building intelligent systems, workflow automations, and high-quality Web & API solutions, backed by 6+ years of experience delivering impactful software across diverse domains.
My journey spans Tata Consultancy Services, Genesys Telecomm Labs, and IDP Education, where I grew from an application developer into a versatile engineer delivering end-to-end products. My work includes building workflow automations saving 80+ monthly manual hours, developing robust backend systems, creating serverless APIs for global platforms like the IELTS booking system, and optimizing the Genesys Predictive Routing model for faster, more accurate predictions.
I’ve also built several personal projects, including cricket analytics tools and multiple web applications and APIs using Python frameworks. I enjoy exploring data, crafting automation-driven solutions, and developing systems that are intuitive and impactful.
Beyond engineering, I love designing solutions that blend performance, usability, and intelligence, always seeking new ways to apply AI and automation to real-world problems.
Developed and enhanced backend services for the internal IELTS Backoffice platform using AWS Lambda and microservice-based APIs, enabling secure workflows for test-centre operations, candidate management, scheduling, and results processing.
Proposed the use of Convolutional Neural Networks (CNNs) to automatically verify student ID documents, enabling cross-validation of uploaded government IDs against registration forms for improved accuracy and fraud prevention.
Contributed to the integration of the Stripe payment gateway for IELTS exam registration, supporting secure and seamless payment processing as part of the backend development team.
Designed and implemented 15+ RESTful APIs for the IELTS exam registration backend, covering Swagger API definitions, API Gateway endpoints, and sophisticated business logic using AWS Lambda to deliver scalable and reliable serverless solutions.
Built a serverless microservices architecture using 10+ AWS services, decoupling the IELTS registration platform into booking, payments, document handling, and notifications, enabling scalable and efficient operations.
Built automated GitLab CI/CD pipelines incorporating unit tests, linting, import checks, and AWS CDK deployments, ensuring high-quality, reproducible, and error-free code delivery.
Implemented an advanced LRU Cache layer for Genesys Predictive Routing (GPR), reducing prediction latency by 70% and significantly improving overall model responsiveness.
Integrated Google Business Messaging and Dialogflow CX with GPR using Python, increasing chatbot resolution rates by 20% and enabling a more seamless and personalized customer experience.
Enhanced predictive model accuracy by fine-tuning XGBoost hyperparameters, strengthening system reliability and elevating overall ML performance.
Developed scalable automation solutions using Python, Selenium, and NLP, streamlining operations across multiple teams and significantly enhancing process efficiency.
Built an intelligent incident auto-assignment system using NLP and historical data analysis, improving accuracy and reducing manual intervention in service management workflows.
Led the end-to-end migration of 130+ automation use cases from Ignio Butterfly to Ignio Cheetah, demonstrating strong technical leadership and delivering a seamless transition for critical enterprise processes.
Developed a Flask-based workflow orchestration application that captured user inputs through a web interface and triggered the corresponding Python automation scripts, enabling seamless workflow execution and significantly improving efficiency and accuracy.
Built an internal Django-powered blog and forum platform where users could post queries, categorize them using labels, and collaborate through responses thereby greatly enhancing knowledge sharing and communication across the project teams.
Created an automated Python module for BMC Remedy, continuously monitoring incidents and work orders assigned to support teams, intelligently identifying actionable items, and triggering the appropriate workflows without manual intervention.
Developed a Python-based Selenium automation suite that performs daily health checks on the Marks & Spencer e-commerce site by scanning 600–800 hyperlinks and validating their availability, ensuring consistent site reliability and a smooth user experience.
Automated the post-deployment health-check process by extracting logs from the Splunk UI and generating structured PDF reports using Python and Selenium, eliminating nearly 6 hours of manual effort every two weeks.
Implemented 20+ automation use cases that significantly improved operational efficiency across teams, saving over 300 hours of manual work each month and boosting overall productivity.
My Approach to Building Great Software
AI enhances every stage of my work starting from exploring concepts to designing solutions to building rapid prototypes. I pair AI with my Python, ML, and AWS strengths to boost clarity, accelerate delivery, and elevate craft.
I build with a serverless-first mindset using AWS Lambda, API Gateway, S3, and event-driven patterns, creating scalable systems focused on clarity, efficiency, and delivering value without unnecessary operational overhead.
I streamline repetitive and complex workflows such as deployments, test pipelines, turning manual steps into scalable automation that frees time, reduces errors, increases efficiency, and ensures consistency across systems.
I stay rooted in customer value, welcoming insights and adapting solutions to real needs while balancing flexibility with engineering judgment to ensure every feature improves user experience and solves problems.
I build clean, reliable software through clear structure, thoughtful design, and purposeful testing. Every feature is crafted for correctness, maintainability, and confidence across development, staging, and production.
I embrace continuous learning, exploring new technologies, patterns, and approaches to stay ahead. This mindset lets me adapt, solve complex problems creatively, and deliver solutions that remain relevant and impactful.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.
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