// problem solving archive

Technical Case Studies

Real problems we've solved. Decisive engineering solutions that delivered measurable business impact.

GenAI Engineering

Production RAG Hallucination Resolution

Problem

High-traffic production LLM generating factually incorrect responses in critical financial data retrieval affecting business operations.

Solution

Implemented hybrid vector-graph retrieval with semantic verification layer and dynamic confidence scoring.

Technical Implementation

Custom embedding pipeline with PGVector + Neo4j knowledge graph. Dramatically reduced hallucinations while maintaining sub-second response times.

ImpactSignificant revenue recovery and restored data accuracy

Data Architecture

Enterprise Kafka Consumer Lag Resolution

Problem

Severe consumer lag on critical payment events processing massive daily volumes with cascading downstream failures.

Solution

Redesigned partitioning strategy with dynamic consumer scaling and priority-based event routing.

Technical Implementation

Implemented consistent hashing with virtual nodes, auto-scaling consumer groups, and separate high-priority topic topology. Achieved near real-time processing.

ImpactExceptional payment SLA recovery and system stability

Product Engineering

Large-Scale Monolith Decomposition

Problem

Massive Java monolith blocking feature velocity with slow deployment cycles and shared database bottlenecks.

Solution

Gradual domain extraction with event-driven integration and zero-downtime data migration strategy.

Technical Implementation

Strangler fig pattern with CDC (Change Data Capture) for data synchronization, API versioning, and feature flags for gradual traffic migration.

ImpactDramatically faster feature delivery and improved agility

Security Engineering

Supply Chain Attack Prevention

Problem

Malicious dependency injection in CI/CD pipeline compromising customer data through compromised packages.

Solution

Implemented dependency provenance verification with binary attestation and runtime behavior analysis.

Technical Implementation

SLSA Level 3 compliance with cosign signatures, SBOM generation, and eBPF-based runtime monitoring for anomalous system calls.

ImpactComprehensive security posture improvement and threat elimination

Performance Engineering

Database Performance Optimization

Problem

PostgreSQL cluster experiencing severe performance degradation with extremely slow query times during peak traffic, causing user abandonment.

Solution

Query plan optimization with intelligent indexing strategy and read replica load distribution.

Technical Implementation

Implemented pg_stat_statements analysis, covering indexes for complex joins, and pgBouncer connection pooling. Added Redis caching layer.

ImpactSubstantially reduced query times and improved user experience

Crisis Engineering

Rapid Production System Recovery

Problem

Complete production outage due to cascading Redis cluster failure during peak business hours with significant revenue impact.

Solution

Emergency failover to backup infrastructure with data consistency verification and gradual traffic restoration.

Technical Implementation

Implemented Redis Sentinel failover, restored from RDB snapshots, validated data integrity with checksums, and used circuit breakers for traffic control.

ImpactRapid recovery with substantial revenue preservation

Cloud Technologies

Enterprise Kubernetes Cost Optimization

Problem

AWS EKS cluster costs escalating rapidly with significant resource waste and unpredictable autoscaling behavior.

Solution

Implemented intelligent workload placement with predictive scaling and multi-zone cost optimization.

Technical Implementation

Custom controller using VPA + HPA, spot instance orchestration, and workload-aware bin packing. Implemented cluster autoscaler with predictive metrics.

ImpactSubstantial cost reduction while maintaining performance

Digital Transformation

Legacy .NET Framework Modernization

Problem

Mission-critical .NET Framework application serving massive user base with growing technical debt and security vulnerabilities blocking cloud migration.

Solution

Incremental modernization to .NET 8 with containerization strategy and gradual service extraction without business disruption.

Technical Implementation

Implemented .NET Upgrade Assistant automation, API gateway for service boundaries, Docker containerization with health checks, and blue-green deployment pipeline with automated rollback.

ImpactZero-downtime migration with enhanced security and performance

Core Engineering Principles

Root Cause Analysis

We diagnose underlying architectural issues, not surface symptoms. Every solution addresses the fundamental problem.

Incremental Implementation

Large changes delivered through measured, reversible steps. Minimize risk while maximizing business continuity.

Observability First

Comprehensive monitoring and metrics before optimization. You can't improve what you can't measure.

Graceful Degradation

Systems designed to fail safely with circuit breakers, fallbacks, and progressive resilience patterns.

Technology Agnosticism

Choose tools based on technical merit and business fit, not vendor relationships or popular trends.

Security by Design

Security integrated into architecture from day one, not added as an afterthought or compliance checkbox.

Every engagement starts with a technical deep dive. We diagnose root causes, not symptoms.Your crisis becomes our case study.