Soumyasanta Mahalik

Software Engineer

India2 yrs 6 mos experience

Key Highlights

Expert in backend development with Node.js and AWS.
Proven track record in optimizing system performance.
Strong collaborative skills in team environments.

Stackforce AI infers this person is a Backend Developer specializing in SaaS solutions with expertise in AWS and Node.js.

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Skills

Core Skills

Node.jsAws

Other Skills

AWS LambdaAWS TranslateAmazon API GatewayAmazon ConnectAmazon SNSAmazon Web Services (AWS)Apache KafkaC++Data Structures and AlgorithmDynamoDBHTML CSSJPAJavaMavenMongoDB

About

Hello, I'm Soumyasanta Mahalik! I'm passionate about crafting robust backend solutions and optimizing system performance through innovative technologies. 🛠️ Tech Stacks: My expertise spans across a wide range of technologies, including: Frameworks: Spring, Spring Boot, Hibernate,Nodejs Languages: Java, C++ Cloud Technologies: AWS (IAM, VPC, SQS), Docker Monitoring/CI/CD Tools: Grafana, Jenkins, Kafka, Redis Developer Tools: VS Code, Git/GitHub, Maven, IntelliJ, Postman 🎓 I hold a Bachelor of Technology from National Institute of Technology Rourkela Let's connect and explore opportunities to leverage my skills and expertise in backend development to drive innovation and deliver impactful solutions! Feel free to reach out via LinkedIn or email at soumyasantam@gmail.com

Experience

Resmed

Associate Software Engineer

Sep 2025 – Present · 6 mos · Bengaluru, Karnataka, India

Tata communications

Software Developer

Aug 2023 – Aug 2025 · 2 yrs · Pune, Maharashtra, India · On-site

Collaborated with team developed and deployed a real-time messaging translation assistant using Node.js and AWS Translate, enabling seamless multilingual communication between customers and agents in Genesys Cloud.
Optimised translation processing, reducing latency by 70%
Automated deployment using CI/CD pipelines and hosted the application on EC2.
Created an end-to-end WhatsApp integration pipeline to handle real-time queries.Built a webhook using Amazon API Gateway to receive incoming WhatsApp messages, handling over 10,000+ messages/month.
Used AWS Lambda to process messages and maintain chat context in Amazon DynamoDB, improving context retention accuracy by 90%.
Integrated Amazon Connect to route messages to live agents or automated systems, reducing average response time by 60%.
Configured Amazon SNS to stream real-time messages to Lambda functions reducing latency

Node.jsAWS TranslateAWS LambdaAmazon API GatewayAmazon ConnectAmazon SNS+2