Senior Software Engineer (Cloud & Edge AI Platforms)
AWS & Azure Certified | Ex-Intel | MS CS @ NJIT
Senior Software Engineer with 4+ years of experience building cloud-native, data-driven, and edge AI platforms.
Expertise in React, TypeScript, Node.js, and AWS/Azure, with strong focus on micro-frontend architectures, ETL pipelines, and scalable distributed systems.
Proven ability to transform real-time and batch data into actionable insights. Certified in AWS Data Engineering and Generative AI.
Python, TypeScript/JavaScript, Java, C/C++, SQL, Bash
React, Next.js, Node.js, Express.js, Spring Boot, PHP, HTML, CSS, jQuery
Micro-Frontends (Webpack Module Federation), REST APIs, GraphQL
AWS (S3, EC2, RDS, Lambda, CloudWatch, IAM), Microsoft Azure (App Services, Functions), Docker, Kubernetes, Helm, Jenkins, Git, GitHub, GitHub Actions, CI/CD Pipelines, Terraform, Nginx
Apache Spark, Kafka, Airflow, Hadoop, Flink, ETL/ELT Pipelines, Data Lakes, Data Warehousing, PostgreSQL, MySQL, MongoDB, Redis, NumPy, Pandas, Scikit-learn, PyTorch, LangChain, LangGraph, Vector DB (FAISS), OpenAI APIs
Cypress, Jest, React Testing Library, Webpack, Babel, Prometheus, Grafana, ELK Stack, Observability & Logging, Jira, Confluence, Agile/Scrum
Intel Corporation, Parsippany, NJ
Jun 2022 – Jul 2025
Built and maintained a React-based micro-frontend platform for Intel’s Edge Orchestrator, enabling management of infrastructure, clusters, deployments, and AI workloads. Developed scalable UI components using TypeScript and Atomic Design with 75%+ test coverage (Cypress), and improved delivery through Docker-based containerization and Kubernetes deployments. Integrated backend APIs (Go, Python, Prometheus/QL) to process real-time device telemetry into insights for observability, maintenance, and operational decisions. Resolved 50+ critical bugs and SDL issues quarterly, enhancing platform stability, and mentored engineers to accelerate onboarding and contributions.
New Jersey Institute of Technology (NJIT), Newark, NJ
Oct 2021 – Mar 2022
Developed an AWS-based full-stack analytics platform using React, TypeScript, and Node.js to visualize pharmaceutical data trends. Designed a containerized architecture with Docker, deploying frontend on S3, backend on EC2, and MySQL on RDS. Engineered backend services and ETL pipelines to ingest patient datasets into a data lake, enabling scalable healthcare analytics.
UnitedBusiness.in, Bangalore, India
Jan 2019 – Oct 2019
Built responsive client websites using HTML, CSS, JavaScript, jQuery, and PHP, delivering customized solutions through stakeholder collaboration. Improved SEO performance (~85%), web accessibility, and analytics tracking with user-consent mechanisms.
Master of Science in Computer Science
New Jersey Institute of Technology (NJIT), 2021
- Scrum.org: PSM II (Apr 2026), PSM I (Feb 2026)
- AWS:
- Generative AI Professional (AIP-C01, May 2026)
- Data Engineer Associate (DEA-C01, Apr 2026)
- AI Practitioner (AIF-C01, Mar 2026)
- Cloud Practitioner (CLF-C01, Jun 2021)
- Microsoft Azure:
- AZ-104 Administrator (Jul 2025)
- Fundamentals: AZ-900, DP-900, AI-900 (Jun 2021)
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Edge Orchestrator UI (Micro-Frontend Platform)
https://github.com/open-edge-platform/orch-ui -
Open Edge Platform
https://github.com/open-edge-platform -
NJIT Pharma Analytics Backend
https://github.com/RPG-coder/bayer-njit-backend
- LinkedIn: https://www.linkedin.com/in/rahul-putcha
- GitHub: https://github.com/RPG-coder
- Email (for Product Marketing & Jobs only): rahulgputcha@gmail.com
- Personal Website: https://www.rahulgputcha.com
- Cloud-native systems (AWS, Azure)
- Edge AI platform engineering
- Micro-frontend architecture (Module Federation)
- Data engineering (ETL, Data Lakes, Analytics)
- Generative AI & LLM integration