Case Studies

Detailed breakdowns of technical challenges solved and business outcomes delivered. Each project demonstrates end-to-end ownership from architecture design to production deployment.

Client names anonymized under NDA. Full details available upon request.
Fintech

Real-time Payment Processing Platform

Building a distributed payment system handling 50K TPS with sub-100ms latency

8 months
Lead Engineer + 4 developers
Distributed SystemsEvent SourcingKubernetesGoPostgreSQL

The Challenge

A rapidly growing fintech startup needed to replace their legacy payment processing system that was hitting scaling limits at 5K transactions per second. The existing monolithic architecture couldn't handle peak loads during high-traffic periods, resulting in failed transactions and customer complaints.

Solution Approach

  • Designed event-sourced architecture with CQRS pattern for eventual consistency
  • Built distributed transaction coordinator using Saga pattern for cross-service transactions
  • Implemented custom connection pooling and query optimization reducing database load by 60%
  • Deployed multi-region Kubernetes clusters with automated failover
  • Created real-time monitoring dashboard with sub-second alerting

Measurable Results

Transaction Throughput
5K TPS50K TPS
10x
Average Latency
500ms95ms
80%
System Uptime
99.5%99.99%
5x less downtime
Infrastructure Cost
$45K/mo$28K/mo
38% reduction

Technologies Used

GoPostgreSQLRedisKafkaKubernetesPrometheusGrafana
Enterprise SaaS

Multi-tenant Data Analytics Pipeline

Scaling a B2B analytics platform from 10 to 500+ enterprise clients

12 months
Tech Lead + 6 developers
Data EngineeringPostgreSQLRedisPythonReact

The Challenge

An enterprise SaaS company providing data analytics to Fortune 500 clients was struggling with their single-tenant architecture. Each new client required manual deployment, data isolation was a concern, and the engineering team spent 60% of their time on operational tasks instead of product development.

Solution Approach

  • Architected multi-tenant data isolation using PostgreSQL row-level security and schema separation
  • Built automated tenant provisioning system reducing onboarding from 2 weeks to 30 minutes
  • Implemented tenant-aware caching layer with Redis for 10x query performance improvement
  • Designed self-service admin portal for client configuration and user management
  • Created comprehensive audit logging system meeting SOC2 compliance requirements

Measurable Results

Client Capacity
10 clients500+ clients
50x
Onboarding Time
2 weeks30 minutes
99%
Query Performance
2-5 seconds200ms
10x
Engineering Efficiency
40% product85% product
2x

Technologies Used

PythonPostgreSQLRedisReactTypeScriptDockerAWS
AI/ML

Production RAG System for Legal Documents

Building an AI-powered legal research assistant with 95% accuracy

6 months
ML Lead + 3 engineers
Vector DBLLMSemantic SearchPythonFastAPI

The Challenge

A legal tech company wanted to build an AI-powered research assistant that could search through millions of legal documents and provide accurate, citation-backed answers. Previous attempts using keyword search had poor accuracy, and initial LLM prototypes were too slow for production use and prone to hallucinations.

Solution Approach

  • Implemented hybrid search combining dense vector embeddings with sparse BM25 retrieval
  • Built custom document chunking pipeline optimized for legal document structure
  • Designed multi-stage retrieval with re-ranking for improved accuracy
  • Created citation verification system to eliminate hallucinated references
  • Deployed inference pipeline with model caching and request batching for low latency

Measurable Results

Retrieval Accuracy
65%95%
46%
Response Time
3-5 seconds200ms
95%
Hallucination Rate
15%<1%
94%
User Adoption
20%85%
4x

Technologies Used

PythonFastAPIPineconeOpenAILangChainPostgreSQLRedis
Healthcare

HIPAA-Compliant Telemedicine Platform

Building secure infrastructure for virtual healthcare delivery

10 months
Security Lead + 5 developers
SecurityComplianceWebRTCNode.jsReact

The Challenge

A healthcare startup needed to build a telemedicine platform that could handle sensitive patient data while meeting strict HIPAA compliance requirements. The platform needed to support real-time video consultations, secure messaging, and electronic health record integration—all while maintaining sub-second response times.

Solution Approach

  • Designed end-to-end encrypted communication using WebRTC with custom TURN servers
  • Implemented comprehensive audit logging and access controls for HIPAA compliance
  • Built secure EHR integration layer with HL7 FHIR standard support
  • Created automated PHI data classification and encryption pipeline
  • Deployed infrastructure with geographic data residency controls

Measurable Results

Security Compliance
Non-compliantHIPAA Certified
100%
Video Quality
720p @ 80%1080p @ 99%
Significant
Patient Capacity
0100K+ MAU
New capability
Integration Time
N/A2-week EHR setup
Streamlined

Technologies Used

Node.jsReactWebRTCPostgreSQLRedisAWSTerraform
E-commerce

Black Friday-Ready E-commerce Infrastructure

Re-architecting platform to handle 100x traffic spikes

5 months
Infrastructure Lead + 3 SREs
InfrastructureCDNCachingAuto-scalingAWS

The Challenge

A mid-size e-commerce company experienced complete outages during their previous Black Friday sale, resulting in $2M+ in lost revenue. Their infrastructure couldn't handle traffic spikes, the database became a bottleneck, and there was no graceful degradation strategy.

Solution Approach

  • Implemented multi-tier caching strategy with edge CDN, application cache, and database query cache
  • Designed auto-scaling policies with predictive scaling based on historical traffic patterns
  • Built circuit breakers and graceful degradation for non-critical services
  • Created load testing framework simulating 200x expected traffic
  • Deployed database read replicas with automatic failover

Measurable Results

Peak Traffic Handled
10K RPM1M+ RPM
100x
Black Friday Uptime
65%100%
Zero downtime
Page Load Time
4.2s1.1s
74%
Revenue Protected
$2M lost$0 lost
$2M+

Technologies Used

AWSCloudFrontRedisPostgreSQLNode.jsTerraformDatadog
Developer Tools

Internal Developer Platform & CI/CD Pipeline

Reducing deployment time from days to minutes

7 months
Platform Lead + 4 engineers
DevOpsCI/CDKubernetesGitOpsPlatform Engineering

The Challenge

A 200-person engineering organization was struggling with slow, error-prone deployments. Each release required manual coordination across teams, deployments took 2-3 days, and rollbacks were painful. Developer productivity was suffering, and the company was losing competitive advantage due to slow iteration speed.

Solution Approach

  • Built self-service developer portal with one-click environment provisioning
  • Implemented GitOps workflow with ArgoCD for declarative deployments
  • Created standardized application templates and golden paths for common patterns
  • Designed automated testing pipeline with parallel execution and smart test selection
  • Built comprehensive observability stack with distributed tracing

Measurable Results

Deployment Time
3 days15 minutes
99.6%
Deployment Frequency
2/month50+/day
750x
Failed Deployments
25%2%
92%
Developer Satisfaction
45%89%
2x

Technologies Used

KubernetesArgoCDBackstageGitHub ActionsTerraformPrometheusJaeger

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