Senior Software Engineer (Cloud & Edge AI Platforms)
AWS & Azure Certified and Professional | Ex-Intel | MS CS @ NJIT'2021
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++, C#, SQL, Bash
React, Next.js, Node.js, Express.js, Spring Boot, PHP, HTML, CSS, jQuery
Micro-Frontends (Webpack Module Federation), REST APIs, GraphQL
Docker, Kubernetes, Nginx,
Jenkins, Git, GitHub, GitHub Actions, CI/CD Pipelines,
AWS (S3, EC2, RDS, Lambda, CloudWatch, IAM), Microsoft Azure (App Services, Functions),
Helm, Terraform
MySQL, PostgreSQL, MongoDB, Redis, LangChain, LangGraph, Retrieval Augmented Generation (RAG), Vector DB, Pinecone, Weviate, pgvector Kafka, Apache Spark, Airflow, ETL/ELT Pipelines, Hadoop, Flink, Data Lakes, Data Warehousing, BigQuery, Snowflake NumPy, Pandas, Scikit-learn, PyTorch, OpenAI APIs, OpenCV
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)
-
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
- Competitive coding: https://leetcode.com/u/rahul-putcha/
- Personal Website: https://www.rahulgputcha.com
- LinkedIn: https://www.linkedin.com/in/rahul-putcha
- GitHub: https://github.com/RPG-coder
- Email (for Product Marketing & Jobs only): rahulgputcha@gmail.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