Hi, I’m Nishant Saxena, a backend-focused software engineer who builds scalable APIs and cloud-native backend systems.
Hi, I’m Nishant Saxena, a backend-focused software engineer who builds scalable APIs and cloud-native backend systems. I’m proficient in Python and Java, with strong experience in performance optimization, clean architecture, and production-ready delivery.
I enjoy solving complex problems with microservices, REST APIs, and robust CI/CD pipelines, and I thrive in collaborative teams to ship reliable software.
Determined the most efficient and accurate model for Hand Gesture Recognition by exploring the capabilities of popular deep learning models: ResNet18, ResNet50, VGG19, and VGG16
Contributed valuable insights into the selection of the most suitable deep learning model for efficient and accurate hand gesture recognition tasks.
Collaborated on AI-driven solutions by developing and deploying AI Agents using Google’s Agent Development Kit and Python. Built a multi-tool resume/job description matching agent that extracts structured information from PDF/Word resumes and job descriptions and generates JSON-based match summaries, improving screening efficiency and consistency in candidate-job matching.
Used SQL, DAX, and BigQuery to integrate web and IQ data for analyzing user behavior and product usage. Designed dashboards and reports in Power BI and Tableau to deliver actionable insights and strategic recommendations to stakeholders.
Developed and maintained scalable RESTful APIs using Java and Spring Boot, ensuring smooth backend operations across multiple client-facing applications. Conducted unit and integration testing, achieving zero-incident deployments. Led development on key projects including a Loan Management System, E-Stamping Platform, and a secure Account Management app for MUFG Bank.
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