Somal Chakraborty

Backend Engineer

Kalamazoo, Michigan, United States1 yr experience

Key Highlights

Expert in building scalable microservices architectures.
Proven track record in AI and machine learning integrations.
Strong experience in backend development for high-traffic applications.

Stackforce AI infers this person is a Backend Engineer specializing in scalable systems and AI integrations across E-commerce and Fintech sectors.

Contact

Skills

Core Skills

JavaMicroservicesPythonRest ApisBackend DevelopmentApi IntegrationApi DevelopmentKotlin

Other Skills

SpringbootKafkaPyTestRESTAWSReactApache KafkaCassandraA/B TestingDistributed SystemsReal time data pipelineSoftware InfrastructureSoftware DesignEngineeringWeb Engineering

About

I work as a software developer and have been gaining experience in scalable software building, testing, and deployment.

Experience

1 yr

Total Experience

6 mos

Average Tenure

Current Experience

Walmart

Backend Engineer – Personalization & ML Integration

Nov 2023 – Present · 2 yrs 6 mos · Sunnyvale, California, United States · Hybrid

Built and maintained Java Spring Boot microservices serving large-scale recommendation systems across Walmart US, Canada and Mexico markets.
Led migration of international recommendation services into Walmart’s unified platform by implementing multi-tenant architecture, enabling request routing, logging, and database access segregation across markets.
Implemented tenant-aware event routing across a real-time Kafka pipeline, modifying multiple transformer and ingestion services to ensure correct data segregation across distributed repositories and cloud environments.
Designed a price-aware substitution scoring algorithm combining relevance scoring and dynamic price penalty functions, reducing substitution costs by 70% while increasing GMV by $40M.
Integrated external order-tracking services into homepage APIs by coordinating cross-team API contracts and implementing secure service integrations.
Built a Python-based automated regression testing framework using PyTest that validates API responses after deployments, becoming the team’s primary production sanity-check system.
Served as Release Captain, managing weekly production deployments across multi-region Kubernetes clusters, performing canary releases, coordinating change approvals, and validating production stability.
Participated in on-call rotations, diagnosing production alerts (4xx/5xx errors) using monitoring dashboards and logs, and resolving issues through service debugging, scaling infrastructure, and coordinating with dependent services.
Currently contributing to the next-generation personalization engine, enabling dynamic ranking of homepage carousels and promotional banners using user behavior signals and scoring models.

JavaSpringbootMicroservices

Trademanza (inactive)

Full Stack Engineer – Event-Driven Financial Analytics Platform

Jul 2022 – Oct 2022 · 3 mos

Designed backend architecture for a financial simulation platform using a microservices architecture consisting of user management, stock data, game logic, and wallet services.
Implemented REST APIs and event-driven workflows using Kafka for trade events and portfolio updates.
Designed hybrid database architecture using MongoDB for user profiles and PostgreSQL for transactional financial data.
Built CI/CD pipelines and deployed services using AWS infrastructure including EC2, S3, and CloudFront.

MicroservicesREST APIs

Wayground (formerly quizizz)

Backend Engineer – Data-Driven Learning & Automation Systems - Intern

Sep 2021 – Jul 2022 · 10 mos

Developed backend APIs supporting a microservice architecture serving 50M+ users on an educational platform.
Implemented integrations with third-party services including Zendesk and Google Classroom.
Designed middleware triggering AWS Lambda functions for answer processing and scoring workflows.
Wrote integration tests for backend APIs ensuring reliability of service-to-service communication.
Architected and developed reusable React components like question-editor, option-editor, and multimedia-upload, serving and engaging over 10M active users.
Conducted thorough research and correlation between the React project's classroom-integration feature and corresponding elements for the React Native Quizizz app (with 10M+ downloads).

Backend DevelopmentAPI Integration

Skylark labs

Founding Team Software Engineer - Intelligent AI Systems - Intern

Aug 2020 – Dec 2020 · 4 mos · Hybrid

Developed Python-based APIs for serving machine learning models, enabling real-time inference for AI-powered applications.
Designed backend services responsible for model request handling, response formatting, and API integration with client-facing systems.
Built interactive React dashboards to visualize model outputs, operational metrics, and system status for internal teams and customers.
Collaborated with the founding engineering team to prototype and deploy AI-powered features, contributing to early-stage platform architecture.

PythonRESTAPI Development

Google summer of code

Open Source Developer (Selected Contributor)

Jun 2020 – Aug 2020 · 2 mos

Selected from thousands of global applicants to participate in Google Summer of Code, contributing to open-source projects under the mentorship of the MetaBrainz engineering team.
Proposed and implemented architectural improvements to an existing open-source system, enhancing stability and maintainability through targeted debugging, refactoring, and feature development.
Developed new functionality and resolved critical issues using Java and Kotlin, improving reliability and usability of the application.
Integrated C++ TagLib via Java Native Interface to improve audio metadata handling and modernized UI components using Android framework technologies.

JavaKotlin