Manish Thapa

Software Engineer

San Diego, California, United States2 yrs 10 mos experience
Highly StableAI Enabled

Key Highlights

  • Led initiatives generating $10M revenue at Target.
  • Reduced latency by 20% during peak traffic.
  • Built testing infrastructure cutting production errors by 15%.
Stackforce AI infers this person is a Backend Engineer specializing in Distributed Systems for Retail.

Contact

Skills

Core Skills

Customer ServiceCommunicationDistributed SystemsMicroservices ArchitectureSystem DesignTestingJavaAgile MethodologiesData WarehousingEtlFull-stack DevelopmentJavascriptOpen-source DevelopmentMachine LearningData Analysis

Other Skills

Attention to DetailTeamworkKotlinApache KafkaCassandraPostgreSQLSpring BootCI/CDGitGrafanaElastic Stack (ELK)Informatica PowerCenterExtract, Transform, Load (ETL)Cloud ComputingReact.js

About

I'm a software engineer who builds systems that handle scale and stay reliable when things go wrong. I spent 3.5 years at Target on the Enterprise Carts and Checkouts team—a Priority One platform handling millions of daily transactions for both online and in-store purchases. I worked with Kotlin, Java, Cassandra, Postgres, and Kafka, owning 45+ APIs end-to-end. I drove initiatives like Next Day Delivery and Exchange at Target, reduced latency by 20% during peak traffic, and built testing infrastructure that cut production errors by 15%. Being on-call for P1 incidents taught me how to debug distributed systems under pressure. Those experiences made me realize I wanted deeper understanding of distributed systems fundamentals—that's why I'm pursuing my MS in Computer Science at SDSU. I'm looking for Summer 2026 internships in backend or infrastructure engineering where I can work on complex systems at scale and learn from great engineers. Let's connect if you're solving interesting distributed systems problems.

Experience

2 yrs 10 mos
Total Experience
2 yrs 10 mos
Average Tenure
--
Current Experience

X, the moonshot factory

Software Engineer Intern

Jun 2026Present · 0 mo · Mountain View, California, United States · On-site

San diego state university

Front Desk Assistant

Aug 2025Jun 2026 · 10 mos · San Diego, California, United States · On-site

  • Part-time campus role supporting graduate studies, developing interpersonal and communication skills.
CommunicationCustomer ServiceAttention to DetailTeamwork

Target

2 roles

Software Engineer

Aug 2022Jun 2025 · 2 yrs 10 mos · Bengaluru, Karnataka, India · Hybrid

  • Owned critical microservices on Priority One platform processing millions of transactions daily across digital and physical retail channels. Architected and delivered high-impact features while maintaining 99.9%+ uptime for business-critical APIs.
  • Led Next Day Delivery platform integration—architected end-to-end solution coordinating multiple partner teams (Items, Pricing, Promotions, Fulfillment, etc). Delivered production-ready system in 12 weeks, enabling $10M revenue stream and improving customer NPS.
  • Pioneered Exchange capability—designed and built Target's first real-time exchange platform, eliminating legacy return-rebuy workflow. Implemented event-driven architecture using Kafka with transactional guarantees, handling 100K+ daily exchanges.
  • Optimized platform performance—reduced P99 latency by 20% through query optimization and intelligent caching strategies. System handled 3x Black Friday traffic spike without degradation, saving $500K in infrastructure costs.
  • Established CI/CD best practices—built comprehensive test automation framework covering 500+ scenarios across omnichannel flows. Reduced production incidents by 40% and enabled daily deployments vs monthly releases.
  • Designed bot mitigation system—created real-time threat detection engine preventing fraudulent checkout attempts during high-demand launches. Protected $1.4M in inventory from scalper bots while maintaining zero false positives.
  • Drove platform modernization—core contributor to microservices redesign initiative, migrating monolithic services to event-driven architecture. Led rollout strategy using feature flags and canary deployments with zero downtime.
KotlinMicroservices ArchitectureApache KafkaCassandraPostgreSQLSpring Boot+2

Software Engineer Intern

Mar 2022Jul 2022 · 4 mos · Bengaluru, Karnataka, India · Hybrid

  • Selected for competitive internship program. Contributed production-ready features to Priority One checkout platform handling millions of transactions. Designed system architecture diagrams adopted as team documentation standard. Implemented graceful shutdown mechanism improving service reliability during deployments. Promoted to full-time engineer based on performance and impact.
JavaKotlinApache KafkaGitGrafanaElastic Stack (ELK)+1

Cognizant

Software Engineer Intern

Jan 2022Mar 2022 · 2 mos · Bengaluru, Karnataka, India · On-site

  • Fast-track training program in enterprise data engineering. Built ETL pipelines using Informatica and cloud-native tools for Fortune 500 client data warehouse. Gained exposure to large-scale data processing and enterprise architecture patterns.
Informatica PowerCenterExtract, Transform, Load (ETL)Data WarehousingCloud ComputingETL

Softmantissa

Software Engineer Intern

Oct 2021Dec 2021 · 2 mos · Bangalore Urban, Karnataka, India · On-site

  • Early-stage startup experience building customer-facing web applications. Developed full-stack features using React and Node.js. Participated in product discussions and rapid iteration cycles in agile startup environment.
React.jsNode.jsJavaScriptFull-Stack Development

Girlscript summer of code

Contributor

Mar 2021May 2021 · 2 mos · Remote

  • Selected for competitive open-source program. Contributed features to production repositories with 10K+ stars. Collaborated with global developer community, improving code quality through peer reviews and following industry-standard Git workflows.
GitOpen-Source DevelopmentJavaScriptPython (Programming Language)

The sparks foundation

Data Science Intern

Nov 2020Dec 2020 · 1 mo · Remote

  • Explored machine learning fundamentals using Python, Scikit-learn, and TensorFlow. Built predictive models and data visualizations as part of early technical learning.
Python (Programming Language)Machine LearningTensorFlowData AnalysisScikit-Learn

Education

San Diego State University

Master of Science - MS — Computer Science

Aug 2025Aug 2027

Dr. Ambedkar Institute of Technology

Bachelor of Engineering - BE — Computer Science

Aug 2018Aug 2022

Simplilearn Alumni

Post Graduate Program in Cloud Computing — Computer Science

Apr 2023Oct 2023

Manimukunda College

Intermediate-level education — Engineering Science

Jan 2016Jan 2018

NEW HORIZON SCHOOL

Secondary-level education — Multi/Interdisciplinary Studies

Jan 2008Jan 2016

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