Tribhuwan Singh — Senior Software Engineer

Software Developer with 4 years of experience building and optimizing high-throughput APIs and scalable backend services at enterprise scale. Proven record across the full software development life cycle (SDLC), including system design, code reviews, CI/CD pipelines, and production operations, with a focus on reliability, scaling, and security compliance. Experienced in real-time processing, machine learning (ML) model integrations, platform ownership, and customer-facing product development across AWS, Java, Python, and TypeScript stacks, and recognized at IBM for mentoring interns, leading cross-functional teams, and driving adoption, combining technical leadership with problem-solving and data-driven decision-making. Passionate about security-first DevOps, I implement continuous vulnerability scanning and patching to maintain SLA compliance. Key Highlights: ► Increased API throughput by 30%, reduced downtime by 25%, and ensured 95%+ SLA compliance via secure Cloud Inventory architecture. ► Cut security vulnerabilities by 90% through ETL pipelines in TypeScript/Cloudant, integrating WhiteSource, ASoC, and OWASP Zap into CI/CD workflows. ► Accelerated query performance by 40% using Redis caching with Java Spring Boot and Lettuce, optimizing filtering and pagination for Reporting APIs. ► Built interactive dashboards from GitHub API metrics to drive InnerSource adoption and improved engineering collaboration beyond core teams. ► Migrated compliance schemas to cost-efficient EDB Postgres, designed serverless AWS Lambda workflows, and enforced automated GitLab CI/CD policies. I focus on delivering backend excellence, operational resilience, and scalable systems that empower data-driven organizations.

Stackforce AI infers this person is a Backend Software Developer with expertise in SaaS and Cloud-Native Architecture.

Location: Dehradun, Uttarakhand, India

Experience: 3 yrs 5 mos

Skills

Api Development
Cloud-native Architecture
Data Engineering
Data Analysis

Career Highlights

Increased API throughput by 30% with secure architecture.
Reduced security vulnerabilities by 90% through automation.
Achieved 100% uptime SLA compliance across products.

Work Experience

IBM

Senior Software Developer (1 yr 11 mos)

Software Developer (1 yr 6 mos)

The Money Roller

Equity Research Intern (1 mo)

Hackr.io

Programming Intern (1 mo)

Education

Master of Science - MS at Westcliff University

Master of Science - MS at Northeastern University

Bachelor of Technology (B.Tech.) at DIT UNIVERSITY

Tribhuwan Singh

Senior Software Engineer

Dehradun, Uttarakhand, India3 yrs 5 mos experience

Key Highlights

Increased API throughput by 30% with secure architecture.
Reduced security vulnerabilities by 90% through automation.
Achieved 100% uptime SLA compliance across products.

Stackforce AI infers this person is a Backend Software Developer with expertise in SaaS and Cloud-Native Architecture.

Contact

Skills

Core Skills

Api DevelopmentCloud-native ArchitectureData EngineeringData Analysis

Other Skills

Network Security ImplementationPHPJavaRedisPostgreSQLAWS LambdaApache NiFiMachine LearningMicrosoft DevelopmentApache KafkaPythonEquity ResearchEquity Research AnalysisStatistical Data AnalysisSoftware Industry

About

Experience

3 yrs 5 mos

Total Experience

Average Tenure

Current Experience

Ibm

2 roles

Senior Software Developer

Promoted

May 2023 – Apr 2025 · 1 yr 11 mos · Seattle, WA · Remote

▪ Led full-stack ownership of 5+ customer-facing products and core infrastructure, improving high-throughput APIs handling 100K+ daily records, achieving 99.9% system reliability and 90% reduction in security vulnerabilities through WhiteSource, ASoC, and OWASP Zap integrations.
▪ Optimized Reporting API query latency by 40% and sustained high-throughput API performance at 100K+ daily requests by implementing Redis caching using Java Spring Boot and Lettuce, applying design patterns for reliability and scaling.
▪ Deployed Instana and New Relic monitoring, reducing 25% of unplanned downtime across post-purchase experiences, enabling real-time processing, automated alerting, and asynchronous caching workflows meeting SLA reliability and scaling targets.
▪ Ensured 100% uptime SLA compliance, improved system efficiency, and reduced costs by 30% through PostgreSQL migration and ETL pipeline automation using Apache NiFi across 3 production environments.
▪ Built AWS Lambda-driven ETL pipelines processing 1M+ inventory records daily into S3 and Redshift, and Kafka event streams, and integrated Machine Learning (ML) Model Integrations to enable customer targeting, abuse prevention, and analytics at Amazon scale.

Network Security ImplementationPHPAPI DevelopmentCloud-Native Architecture

Software Developer

Oct 2021 – Apr 2023 · 1 yr 6 mos · Seattle, WA · Remote

▪ Aligned 20+ API schemas and standardized Java-based data handling to achieve 100% audit readiness across SOC 2 compliance reviews.
▪ Reduced data migration defect rate by 35% by architecting Python ETL pipeline automation with embedded validation logic, orchestrating distributed ingestion and transformation across cloud and on-premises environments via Apache NiFi.
▪ Executed 5+ zero-downtime database migrations across PostgreSQL and NoSQL platforms, maintaining 100% data integrity and improving query performance by 25% across 3 product lines.
▪ Enforced code reviews, source control management, and build processes across 4+ microservices, integrating vulnerability scanning and security automation into CI/CD pipelines, reducing remediation cycle time by 50%.
▪ Designed real-time processing dashboards for 15+ engineers, reducing mean time to detect (MTTD) incidents by 30% using Apache Superset dashboards and CloudWatch logs

Microsoft DevelopmentApache KafkaAPI DevelopmentData Engineering

The money roller

Equity Research Intern

Jun 2017 – Jul 2017 · 1 mo · Mumbai · Remote

▪ Optimized financial forecasting by analyzing a decade of derivatives data and designing valuation models, improving trading strategy accuracy by 20% and economic health predictions by 85%.
▪ Enhanced data infrastructure and recommendation systems by improving user activity storage efficiency by 30%, optimizing database schemas, and integrating a Flask-based ML module for personalized suggestions.

Equity ResearchEquity Research Analysis

Hackr.io

Programming Intern

Jun 2017 – Jul 2017 · 1 mo · Roorkee, India · Remote

Improved infrastructure for storing and managing user activity feeds at least by 30%.
Designed database schemas with complex entity relationships to reduce memory usage.
Integrated a Machine Learning module using Flask that recommends users with courses and tutorials.