Deepanshu Rustagi

Software Engineer

Noida, Uttar Pradesh, India3 yrs 8 mos experience

Key Highlights

Developed scalable microservices for high-traffic applications.
Achieved 98% accuracy in translation systems using OpenAI.
Optimized performance in financial transactions, increasing efficiency.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and E-commerce.

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Skills

Core Skills

JavaSpring BootNode.jsModel-view-controller (mvc)Restful WebservicesAmazon DynamodbObject Oriented DesignData AnalysisJavascriptData Visualization

Other Skills

MySQLElasticsearchHigh-Level DesignSDK developmentRedisLoad BalancingLinuxLinux ServergravitonApache KafkaJenkinsSonarqubeContinuous Integration and Continuous Delivery (CI/CD)Web TechnologiesClass Diagrams

About

🚀 Hi there! I’m a dedicated and quick-learning SDE2 with 3.5 years of experience designing and building innovative software solutions. Committed to delivering high-quality solutions, characterized as a team player, and recognized for reliability. 💼 Contributed to Microsoft, Amazon, Paytm, Chaayos, and DRDO. Throughout this journey, I worked on diverse technologies and tools such as Java, Python, SQL, KQL, Node.js, JavaScript, Spring Boot, Hibernate, REST API, Kafka, Cassandra, Linux, GIT, MySQL, JUNIT, Docker, AWS (Lambda, S3, ECS, EC2, SQS, SNS, CLI, DynamoDB, Athena, CDK, CloudWatch, CloudFormation), OOPs, DBMS, Microservice, Low Level Design, SOLID principles, Design patterns, ORM, Agile, CI/CD Pipeline, Cursor, IntelliJ, VSCode. 🌱 Seeking opportunities to leverage my experiences and skills. Let’s connect and explore opportunities to collaborate on impactful projects! 🌟 Portfolio: https://deepanshurustagi.pythonanywhere.com

Experience

3 yrs 8 mos

Total Experience

1 yr 7 mos

Average Tenure

6 mos

Current Experience

Microsoft

Software Engineer II

Dec 2025 – Present · 6 mos · Noida, Uttar Pradesh, India · On-site

Paytm

2 roles

Senior Software Engineer

Jul 2025 – Dec 2025 · 5 mos · Noida, Uttar Pradesh, India · On-site

Central Translation System
Created 2 microservices with SDK for translating multi language texts using OpenAI with 98% accuracy.
Integrated with 10 services across Paytm serving 1M requests daily and generating texts in 12 languages.

JavaSpring Boot

Software Engineer

May 2024 – Jun 2025 · 1 yr 1 mo · Noida, Uttar Pradesh, India · On-site

Rent Payments
Developed 4 scalable microservices for processing rent payments, handling over 10K transactions daily.
Achieved 98% success rate and migrated 6M old billers that leads to 25% rise in daily rent transactions.
Unified Presentment Management System
Created registration flow and call back API serving over 4M bills daily using rate limiter and circuit breaker.
Integrated reminder system, improved latency by 30% and optimized performance by serving 90% traffic.

JavaNode.js

Amazon

2 roles

SDE

Jul 2022 – Mar 2024 · 1 yr 8 mos

Compound Container Mis-sort
Structured low-level design, implemented business logic, mentored Interns, and re-architected live APIs.
Launched over 50 Delivery Stations in the US and saved 10 minutes per compound container of processing.
Unified Reverse Logistic
Developed microservice with configs by extracting the top 12 valuable attributes to optimize reverse flow.
Increased URL stow rate from 43% to 90% and as a result saved transit cost of 20 M USD in 6 months.

Model-View-Controller (MVC)RESTful WebServices

SDE Intern

Jan 2022 – Jun 2022 · 5 mos

Deviation Management Re-architecture
Migrated a live use-case from monolithic to microservice with traffic control and dial-up plan.
Reduced latency of the flow by 2 minutes, gained best practices and obtained Pre-placement offer.

Amazon DynamoDBObject Oriented Design

Chaayos

Software Engineer Intern

Jul 2021 – Jan 2022 · 6 mos · Gurugram, Haryana, India

Automation and Frontend Development
Enhanced customer experience by using Data Analysis and Machine Learning with 97.5% accuracy.
Provided 100% automated suggestions by utilizing MySQL, MongoDB, and AWS resources - S3, lambda.

Data AnalysisJavaScript

Defence research and development organisation (drdo)

ML Research Intern

Nov 2020 – May 2021 · 6 mos

Landslide Detection using various Deep Learning Architectures
Applied Machine Learning and Deep Learning for predictive analysis, and achieved 96.4% accuracy.
Authored and submitted a Technical Report on analysis with the best models for human welfare.

Data AnalysisData Visualization