Aniruddha M Agrawal profile photo 1 on Tal

Aniruddha M Agrawal

Software Engineer - Backend @ Arrise | ex - Amazon | 5+ YOE in Backend Development & System Design | Building Scalable, High-Performance Systems

Bengaluru

4+ years of work experience

ARRISE powering Pragmatic Play
Apr 20251 yr 5 mosPresent

Noida, Uttar Pradesh, India

● Architected a scalable Swap Management platform enabling employee-to-employee shift swaps for single-day and multi-day requests on published rosters, working - RDO (Specific Day Off) swaps, with shared business validations and WFM manual override flows, delivering self-service automation while maintaining operational controls. ● Refactored a legacy Swaps module using Strategy + Factory patterns into clean, extensible components for Published and Unpublished roster scenarios (including Specific Day Off), eliminating nested conditionals, centralizing common validations, and significantly improving code readability, testability, and feature onboarding velocity. ● Improved API performance by 50% by eliminating redundant database calls through DTO-driven processing; introduced a fetch-once-and-evaluate design where all swap data was aggregated into a single internal DTO and reused across validations, reducing DB load and improving response consistency. ● Implemented complex domain validations including work norms, consecutive day limits, and team capacity checks within a shared validation pipeline, enabling automated approvals that cut WFM manual workload by 98%, with fallback manual override flows for operational edge cases.
Amazon
Sep 20212 yrs 5 mosJan 2024

Hyderabad, Telangana, India

● Integrated real-time address inline suggestion functionality for Australian forms by developing scalable RESTful APIs using Java and Spring Framework, improving address prediction accuracy and user experience. ● Designed and implemented a Customer Delivery Profile platform for India, capturing structured address attributes that contributed to a 25% reduction in Last Mile delivery failures and enhanced delivery accuracy. ● Developed localized Address Wizard Forms for international marketplaces including Turkey and Netherlands, increasing form completion rates by 25% and reducing address-related delivery failures by 12%. ● Built and deployed a high-throughput benchmarking framework for a Tier-1 Central Service to measure maximum instance capacity, enabling 30% improved scalability and 20% latency reduction during peak traffic events. ● Conducted root cause analysis for critical Tier-1 service defects, reducing issue resolution time by 40%, and migrated VIPs to a Least Connections load balancing algorithm, enhancing overall system stability. ● Implemented a robust data ingestion pipeline to transform hierarchical graph data from relational databases into Elasticsearch, enabling fast and accurate address suggestions at scale. ● Collaborated cross-functionally to optimize infrastructure and load balancing strategies, ensuring high availability and performance during high-demand periods such as Prime Day and festive sales.
Pitney Bowes
Apr 20216 mosSep 2021

Noida, Uttar Pradesh, India

● Working in Java, Spring Boot & Maven. ● Working in Web Services / API's. ● Creating Scalable, Reusable & Maintainable Code base.
Pitney Bowes
Oct 20206 mosMar 2021

Noida, Uttar Pradesh, India

LeetCode
@anii_agrawal
GitHub
@aniisunny

Aniruddha’s AI Stack

claude code
claude code
claude
claude
cursor
cursor
openai
openai

Education

CHANDIGARH UNIVERSITY

Bachelor of Technology, Computer Science

CHANDIGARH UNIVERSITY

20174 yrs2021
Shriji Baba Saraswati Vidya Mandir

Higher Secondary School, PCM

Shriji Baba Saraswati Vidya Mandir

20161 yr2017

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Headline

Software Engineer - Backend @ Arrise | ex - Amazon | 5+ YOE in Backend Development & System Design | Building Scalable, High-Performance Systems

About

As an SDE - Backend at ARRISE powering Pragmatic Play, I focus on creating scalable and efficient backend systems. My recent contributions include architecting a Swap Management platform and refactoring legacy modules using Strategy and Factory patterns, enhancing code readability and feature onboarding. I also optimized API performance significantly, ensuring operational efficiency and automation. As Co-Founder of CodeTatva, I have built a comprehensive DSA preparation platform, delivering extensive instructional content and mentoring thousands of learners. Holding a B.Tech in Computer Science from Chandigarh University, I bring expertise in backend development, design patterns, and performance optimization to deliver impactful solutions.

Location

Bengaluru

AI stack

claude code

claude

cursor

openai

Work experience

SDE - Backend at ARRISE powering Pragmatic Play, Apr 2025 - Present · 1 yr 5 mos, Noida, Uttar Pradesh, India, ● Architected a scalable Swap Management platform enabling employee-to-employee shift swaps for single-day and multi-day requests on published rosters, working - RDO (Specific Day Off) swaps, with shared business validations and WFM manual override flows, delivering self-service automation while maintaining operational controls. ● Refactored a legacy Swaps module using Strategy + Factory patterns into clean, extensible components for Published and Unpublished roster scenarios (including Specific Day Off), eliminating nested conditionals, centralizing common validations, and significantly improving code readability, testability, and feature onboarding velocity. ● Improved API performance by 50% by eliminating redundant database calls through DTO-driven processing; introduced a fetch-once-and-evaluate design where all swap data was aggregated into a single internal DTO and reused across validations, reducing DB load and improving response consistency. ● Implemented complex domain validations including work norms, consecutive day limits, and team capacity checks within a shared validation pipeline, enabling automated approvals that cut WFM manual workload by 98%, with fallback manual override flows for operational edge cases.

Software Development Engineer at Amazon, Sep 2021 - Jan 2024 · 2 yrs 5 mos, Hyderabad, Telangana, India, ● Integrated real-time address inline suggestion functionality for Australian forms by developing scalable RESTful APIs using Java and Spring Framework, improving address prediction accuracy and user experience. ● Designed and implemented a Customer Delivery Profile platform for India, capturing structured address attributes that contributed to a 25% reduction in Last Mile delivery failures and enhanced delivery accuracy. ● Developed localized Address Wizard Forms for international marketplaces including Turkey and Netherlands, increasing form completion rates by 25% and reducing address-related delivery failures by 12%. ● Built and deployed a high-throughput benchmarking framework for a Tier-1 Central Service to measure maximum instance capacity, enabling 30% improved scalability and 20% latency reduction during peak traffic events. ● Conducted root cause analysis for critical Tier-1 service defects, reducing issue resolution time by 40%, and migrated VIPs to a Least Connections load balancing algorithm, enhancing overall system stability. ● Implemented a robust data ingestion pipeline to transform hierarchical graph data from relational databases into Elasticsearch, enabling fast and accurate address suggestions at scale. ● Collaborated cross-functionally to optimize infrastructure and load balancing strategies, ensuring high availability and performance during high-demand periods such as Prime Day and festive sales.

Graduate Engineering Trainee at Pitney Bowes, Apr 2021 - Sep 2021 · 6 mos, Noida, Uttar Pradesh, India, ● Working in Java, Spring Boot & Maven. ● Working in Web Services / API's. ● Creating Scalable, Reusable & Maintainable Code base.

Developer Intern at Pitney Bowes, Oct 2020 - Mar 2021 · 6 mos, Noida, Uttar Pradesh, India

Education

Bachelor of Technology, Computer Science, CHANDIGARH UNIVERSITY

Higher Secondary School, PCM, Shriji Baba Saraswati Vidya Mandir

Public links

leetcode: https://leetcode.com/anii_agrawal

github: https://github.com/aniisunny