Resume
Open to Full-Stack, Backend & Platform Engineering roles Nagpur, India · UTC+5:30

Full-Stack Software Engineer building backends that scale.

Hi, I'm Shubham Bawane — a Full-Stack Software Engineer with 4.5 years of experience building middleware, APIs and product-facing systems for enterprise-scale platforms. I work primarily with Node.js, React, MongoDB, AWS and cloud-native deployments — with additional experience in IoT and low-level systems.

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0+ Years building production systems
0 Companies — Accenture, ARAV Systems
0 CGPA · B.E. Electronics & Telecom
1 Patent filed — Disaster Response WSN
01 — About

A backend-leaning full-stack engineer, shipping software that runs in production.

Portrait of Shubham Bawane, Full-Stack Software Engineer
~ /home/shubham

I currently work as a Full-Stack Engineering Analyst at Accenture, where I build and maintain middleware services, APIs and product integrations for enterprise-scale digital platforms serving high-traffic, customer-facing experiences.

My core strength is backend engineering with Node.js, Express.js, MongoDB and cloud-native environments. I also work across React-based frontend interfaces, API contracts, deployment workflows and production support.

Before Accenture, I worked on IoT prototypes at ARAV Systems, building hardware-software integrations using Raspberry Pi, Python, sensors and real-time monitoring systems. That experience shaped my interest in the intersection of software, systems and hardware.

Outside of work, I'm actively exploring Agentic AI — LangChain, LangGraph, RAG and tool-calling — and using those primitives to build a small set of AI-powered apps. You can see what I'm currently building under Building Next.

02 — Engineering Highlights

Highlights from real-world systems.

03 — Experience

4.5 years across enterprise scale and hardware-bound systems.

  1. Feb 2022 — Present India · Hybrid

    Full-Stack Software Engineer / Full-Stack Engineering Analyst

    Accenture Solutions Pvt. Ltd.
    • Developed and maintained middleware services for enterprise-scale digital platforms serving high-volume request traffic across customer-facing applications.
    • Led development of an event-driven listener service supporting enterprise workflow automation, event processing and backend integrations.
    • Implemented inter-process communication in Node.js using UNIX domain sockets and pipes to support efficient, low-latency service-to-service communication.
    • Built and consumed REST APIs, collaborated with frontend teams on API contracts and supported React-based product interfaces.
    • Worked with Node.js, Express.js, MongoDB, AWS, OpenShift, Docker and serverless components.
    • Improved backend reliability, maintainability and operational visibility through debugging, refactoring and production support.
    • Recognised with the Star of the Month award at Accenture.
    Node.jsExpressMongoDB AWSOpenShiftDocker ReactServerless
  2. Sep 2021 — Feb 2022 Nagpur, India

    Junior Developer — IoT

    ARAV Systems Pvt. Ltd.
    • Built IoT product prototypes integrating Raspberry Pi, Python, sensors and web dashboards.
    • Developed real-time monitoring systems for hardware-software communication.
    • Worked on sensor data collection, device integration and troubleshooting embedded workflows.
    • Gained hands-on experience with low-level systems, Linux environments and hardware-bound software development.
    PythonRaspberry PiEmbedded IoTLinux
04 — Selected Work

Selected projects & case studies.

Professional · Case study

Enterprise Platform Middleware

Designed and developed middleware services for enterprise-scale platforms handling high-volume request traffic. Focused on backend APIs, reliability, service-to-service communication and integration with frontend and product systems.

Read the case study
Problem
An enterprise platform required middleware services that could absorb high-volume request traffic while remaining easy to evolve as upstream and downstream contracts changed across releases.
What I built
Backend services and REST APIs that sit between an upstream gateway layer and downstream domain services, with cleanly separated handlers, structured logging and configurable runtime behaviour.
Tech stack
Node.js, Express.js, MongoDB, AWS, OpenShift, Docker, REST APIs.
Impact
Stabilised production traffic paths, reduced repeat incident classes through better error surfacing and made integration with adjacent teams faster via clearer API contracts.
Note
Client-specific architecture, naming and metrics are intentionally not disclosed. This case study describes the engineering problem, my contribution and approach only.
Node.jsExpress.js MongoDBAWS OpenShiftDocker REST APIs
Professional · Case study

Event-Driven Listener Service

Led development of a listener-based backend service supporting enterprise workflow automation. The service handled event-driven communication, backend processing and integration with surrounding systems.

Read the case study
Problem
An enterprise workflow needed a long-running listener that could reliably react to events from multiple sources and coordinate downstream processing without blocking adjacent services.
Architecture
A Node.js listener process exchanging messages with sibling services through UNIX domain sockets and pipes, with structured event handlers and back-pressure-aware processing.
My contribution
End-to-end ownership — designed the IPC layer, implemented core event handlers, wrote tests, integrated with the wider workflow automation initiative and supported the rollout.
Result
A more reliable communication path between services, lower coupling between teams and a cleaner foundation to add new event types incrementally.
Note
Client and internal project details are intentionally sanitised. This case study describes my engineering role and approach only.
Node.jsIPC UNIX SocketsPipes Event-DrivenBackend Systems
Personal · Machine Learning

Customer Health Survival Prediction

Built an end-to-end ML classification system to predict customer survival outcomes. Implemented preprocessing, feature engineering, model training, REST API exposure and a React-based prediction UI.

Details
Pipeline
Pandas / NumPy preprocessing → Scikit-learn classifier → Node.js REST API → React frontend for real-time predictions.
What I learned
Cleanly splitting ML inference from the product surface using HTTP, and the operational cost of feature drift.
PythonScikit-learn PandasNumPy Node.jsReact
Academic · IoT

Cattle Health Monitoring — IoT

Built an IoT-based cattle health monitoring prototype funded under Unnat Bharat Abhiyan. The system collected temperature and heart-rate data through sensors and surfaced real-time insights through a web interface.

IoTRaspberry Pi SensorsNode.js WSN
Academic · IoT

Smart Dustbin — IoT

Developed a waste-management prototype using IoT sensors and solar-powered hardware. Built a dashboard to monitor bin status, fill level and operational data.

IoTMERN SensorsSolar
Research · Patent filed

Disaster Management & Quick Response (WSN + IoT)

Filed a patent for a Wireless Sensor Network-based road safety and disaster response system. The concept focuses on node-to-node communication, road-sign alerts, mishap prevention and faster emergency response.

WSNIoT Embedded SystemsResearch
05 — Building Next

What I'm building in the agentic AI space.

A set of personal projects exploring agentic workflows, tool-calling and LLM-powered automation — built on top of my full-stack background.

06 — Stack & Skills

The tools I reach for, grouped by what they do.

Backend

Node.jsExpress.js REST APIsServerless AWS LambdaAzure Functions

Frontend

React.jsJavaScript (ES6+) TypeScriptHTML5 CSS3

Cloud & DevOps

AWS EC2AWS Lambda AzureDocker OpenShiftLinux Postman

Databases

MongoDBMySQL AWS DynamoDBAWS RDS

Systems & Low-Level

Node.js IPCUNIX Sockets PipesLinux Raspberry PiEmbedded Systems

Languages

JavaScriptPython CC++

ML Foundations

Scikit-learnNumPy PandasFeature Engineering ClassificationEmbeddings

Ways of Working

AgileScrum JiraGit Bitbucket GitHub CopilotChatGPT Codex Claude
07 — Currently Learning

Where I'm investing my time outside of work.

I'm actively learning and building AI-powered applications — agentic workflows, retrieval-augmented generation (RAG), tool-calling systems and LLM-based assistants. This is exploration, not professional expertise — yet.

Note: these are listed under Currently Learning, not under primary professional skills. They will move once they back real, shipped projects.

08 — Education, Certs & Wins

Foundations & recognition.

2017 — 2021

B.E. Electronics & Telecommunication

Government College of Engineering, Nagpur · RTM Nagpur University

CGPA9.26

Certifications

  • Agentic AI Engineering with LangChain & LangGraph In Progress — Udemy
  • The Complete 2021 Web Development Bootcamp — Udemy
  • Complete AI, Machine Learning & Data Science Bootcamp — Udemy
  • Reinvention with Agentic AI — Accenture

Achievements

  • Star of the Month — Accenture, 2026
  • Top 200 — Mayor Innovation Awards Hackathon 2.0, Nagpur, 2019
  • Village Co-leader & Project Lead — Unnat Bharat Abhiyan, Nagpur
  • Member, Innovation Club — GCOE Nagpur
  • Organised cultural & outing events — Accenture, 2025
09 — Get in touch

Have a role, product or engineering problem worth building? Let's talk.

Open to Full-Stack, Backend, Node.js and Platform Engineering roles — remote or based out of India.

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