Hi, my name is

Shubham Muthreja.

I make ideas & things alive.

I'm a software engineer driven by a passion for crafting exceptional web applications. At Digital Paani, I specialize in designing scalable architectures and seamlessly integrating technologies such asReact JS, NodeJS, and MongoDB with powerful tools likeClickhouse, NGINX, and Docker. Leveraging AWS services such as EC2, S3,SQS, Redis, and Lambda, I ensure end-to-end security and scalability. From front-end interfaces to back-end systems, my focus is on delivering seamless user interactions while fostering collaboration for impactful digital solutions.

01.About Me
Hello! My name is Shubham. I am a Full Stack Developer with over 5 years of experience in designing, building, and optimizing scalable systems. My technical toolkit includes TypeScript, React, MongoDB, SQL, AWS, Python, and Java. I thrive in delivering impactful solutions across diverse industries, specializing in end-to-end product development, cloud-based solutions, and serverless architectures. With expertise in performance tuning, automation, system design, and crafting intuitive user interfaces, I excel at solving complex technical challenges while driving performance improvements, cost optimizations, and enhanced reliability.
My journey began during my engineering degree, where I developed a passion for technology and problem-solving. In the first organization I joined, I got an opportunity to work on EV charging station ecosystems, creating mobile applications with features like battery swap solutions and real-time IoT integrations. This introduced me to IoT protocols, backend systems, and deployment processes, such as publishing applications on the Google Play Store. As a Web Developer and DevOps Specialist, I collaborated with clients and startups to build end-to-end products using Node.js, Java, React, MongoDB, and AWS. I am well-versed in the SDLC and apply agile methodologies to ensure seamless product delivery. Currently, I am expanding my expertise in Machine Learning through a project analyzing sludge settling rates in water using computer vision techniques. This work involves detecting bacterial health and generating actionable insights from sludge characteristics, blending data science with practical applications.
Here are a few technologies I've been working with recently :
Java
TypeScript
Python
AWS
MongoDB
Express.js
React
Node.js
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02.
Where I've Worked
Engineering ManagerJune 2022 - Presentwww.digitalpaani.com
Designed and built over 70% of the IoT system from scratch with features including custom formula processing, real-time customizable dashboards, alerts and task management, attendance and client management, WhatsApp and email alerts, remote control of equipment, and live visualization (SCADA-like system) with data streaming using SSE.
Led the enhancement of Digital Paani’s IoT platform by introducing advanced features like bi-directional plant control, automated reporting systems, and configurable alert workflows to streamline water treatment facility operations.
Optimized real-time data ingestion pipelines handling millions of records per day using Java and AWS Lambda, achieving a 30% improvement in latency.
Spearheaded development of ML-based solutions, including a sludge settlement detection sensor using image processing and machine learning, providing operational insights for clients.
Led the development and execution of a comprehensive migration strategy to transition legacy systems to cloud services, significantly enhancing security, reliability, and scalability.
03. Some Things I've Built
Project Screen shot
Trusted Delivery ServicesProject for SFC

During my time at SFC, I played a pivotal role as a consultant and developer, designing and developing dashboards and management tools using the MERN stack for the platform they intended to launch called Trusted Delivery Services. My work focused on creating comprehensive solutions, including Flutter-based mobile applications to enhance user experience. One standout achievement was the creation of highly customizable dashboards for operations, featuring real-time package, delivery tracking and visualization

Project Screen shot
Chatbot integrated with emotion detectionCollege research project

As part of my research, I developed a Chatbot integrated with emotion detection, a system designed to enhance human-machine interactions by incorporating emotional intelligence. The project involved leveraging machine learning, OpenCV, and Python to detect user emotions through facial expressions, using live camera feeds. The Chatbot used this emotional data to adapt responses dynamically, providing a more human-like interaction experience. Key features included real-time emotion detection, NLP-based conversation generation.

Project Screen shot
Digital PaaniPlatform for water treatment facilities

At Digital Paani, I led the development of a scalable IoT platform for water treatment facilities, integrating advanced features such as bi-directional plant control, automated reporting, and customizable alert workflows. I designed and implemented real-time data pipelines handling millions of records per day using Java and AWS Lambda, achieving a 30% improvement in latency.

04.What's Next?
Get In Touch

I'm always happy to connect and collaborate! Whether you have a question, a project idea, or just want to share your thoughts, feel free to drop me an email. I'll make sure to get back to you as soon as I can. Looking forward to hearing from you!