Nanda Gopal Chalasani
Full Stack / Software Engineer • Tempe, AZ • n*********************@gmail.com • +14******428 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Full Stack / Software Engineer with 4+ years of experience building scalable, cloud-native web applications and distributed systems. Proven track record delivering real-time supply chain solutions and enterprise HR systems using React, Node.js, Spring Boot, Kafka and AWS; achieved a 35% increase in asset utilization and 40% reduction in API latency. Currently pursuing an M.S. in Data Science at Arizona State University, extending skills in ML, large-scale data pipelines, and graph analytics.
Technical Skills
Programming Languages: Java,Python,JavaScript,TypeScript,Scala,Bash
Frameworks and Libraries: React.js,Angular,Bootstrap,Node.js,Express.js,Spring Boot,Flask,Scikit-learn,Pandas,NumPy
Databases: SQL,MongoDB,PostgreSQL,MySQL,Redis,Neo4j,S3
Cloud and DevOps: AWS EKS,EC2,Docker,Kubernetes,Helm,Terraform,Jenkins,CI,CD pipelines,Container builds
Data and Analytics: Apache Kafka,Apache Spark,Kafka Connect,pg_bulkload,Spark ML,Computer Vision,LLMs
Tools and Methodologies: Git,GitHub,Neo4j Desktop,Postman,Prometheus
Frontend: HTML5,CSS3,TailwindCSS
Backend & APIs: RESTful APIs,Microservices
Work Experience
VulcanTechs
Tempe, AZ
Senior Software Developer
Nov 2022 – Oct 2024
Worked at an IT services firm delivering a real-time asset tracking platform for a supply chain client (TVS Supply Chain Solutions) to improve operational visibility and asset utilization.
Tech Stack: Node.js, Spring Boot, React.js, TailwindCSS, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, AWS EKS, S3
- Architected and delivered a real-time asset tracking platform using Node.js, Spring Boot and Kafka to monitor asset movement across supply chain operations, increasing asset utilization by 35%.
- Designed RESTful APIs and event-driven flows to manage asset lifecycle and telemetry; integrated Node.js and Spring Boot services to support high-throughput ingestion and near real-time queries.
- Optimized MongoDB aggregation pipelines and indexes to support 100k+ event streams per day, reducing API latency by 40% and improving dashboard responsiveness for operations teams.
- Implemented a responsive React.js dashboard with TailwindCSS to visualize real-time location, status and alerts; enabled role-based views for operations and logistics users.
- Containerized microservices with Docker and orchestrated deployments on Kubernetes; collaborated on CI/CD pipelines and Helm charts to accelerate releases and rollback capabilities.
- Collaborated with cross-functional stakeholders to define SLAs, monitoring and alerting for production telemetry; integrated Kafka Connect for downstream analytics and S3-based archival.
VulcanTechs
Tempe, AZ
Software Developer
Oct 2020 – Nov 2022
Delivered full-stack enterprise HR solutions for client deployments while at a consulting firm; responsible for UI, backend services, and integration of biometric authentication features.
Tech Stack: React.js, Angular, Node.js, Express.js, MongoDB, PostgreSQL, Docker, Jenkins, Computer Vision
- Architected and implemented a MERN-stack Human Resource Management System automating employee tracking, attendance and payroll workflows, improving workforce management efficiency by 30%.
- Developed backend services and REST APIs in Node.js and Express.js for employee data management, reporting and payroll integrations with role-based access control and auditing.
- Built interactive React.js and Angular interfaces for employee self-service, admin reporting and payroll approvals, increasing adoption and reducing manual HR tasks.
- Integrated facial-recognition based authentication for attendance using computer vision models and secure image pipelines, reducing attendance discrepancies by 40%.
- Deployed applications in Docker containers and supported CI/CD using Jenkins; implemented logging and health checks to improve deployment stability and mean time to recovery.
- Worked with cross-functional teams to gather requirements, design schemas (MongoDB/Postgres) and implement data export routines for compliance and payroll systems.
TVS Supply Chain Solutions
Education
Arizona State University
Master of Science in Data Science • Tempe, AZ • Jan 2025 – May 2026
Anna University
Bachelor of Technology in Computer Science • Chennai, India • Jun 2016 – Jul 2020
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