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Case Studies

Real Projects.
Measurable Results.

Six genuine engineering engagements — each with a real challenge, a purpose-built solution, and outcomes you can verify.

Healthcare · RCMCase 01

Revenue Cycle Automation for a Multi-State Hospital Network

Client: US-based Hospital Network  · Industry: Healthcare & Life Sciences

Outcomes

62%Denial rate reduction
38 daysAR cycle (from 90)
$1.8MAnnual revenue recovered

Technologies

PythonFastAPIAWSHL7 FHIRXGBoostPostgreSQLKafka
The Challenge

Manual medical coding and claims submission across 12 facilities caused 34% denial rates, 90-day AR cycles, and $2M+ annual revenue leakage.

Our Solution

Built an AI-assisted medical coding engine (ICD-10/CPT) integrated with Epic EHR via HL7 FHIR APIs. Automated eligibility verification, prior-auth workflows, and real-time denial prediction using an XGBoost model trained on 3 years of claims data.

E-Commerce · PlatformCase 02

Headless Commerce Re-Platform for a D2C Retail Brand

Client: D2C Fashion & Lifestyle Brand  · Industry: E-Commerce & Retail

Outcomes

99.98%Uptime during peak sales
1.2sPage load (from 8.4s)
28%Conversion rate lift

Technologies

Next.jsReactAWS ECSRedisElasticsearchTerraformDocker
The Challenge

Legacy monolithic Magento store couldn't handle 10× traffic spikes during sales events, causing 6-hour outages and $400K lost revenue per incident.

Our Solution

Migrated to a headless Next.js 14 storefront backed by a microservices API layer on AWS ECS. Implemented Redis-based session caching, CDN edge delivery, and an AI recommendation engine using collaborative filtering on purchase history.

FinTech · ComplianceCase 03

Automated KYC & AML Compliance Engine for a Digital Bank

Client: Southeast Asia Digital Bank  · Industry: FinTech & Banking

Outcomes

4 minKYC onboarding (from 5 days)
40%Drop-off eliminated
3 FTEsReallocated from manual work

Technologies

JavaSpring BootAzureKafkaPythonTensorFlowPostgreSQL
The Challenge

Manual KYC onboarding took 5–7 business days, causing 40% customer drop-off. Regulatory AML reporting required 3 FTEs working full-time on manual data extraction.

Our Solution

Developed an automated KYC pipeline using OCR document extraction, liveness detection, and sanctions list screening via real-time API integrations. Built an AML transaction monitoring engine with rule-based + ML anomaly detection, generating automated SAR reports.

Logistics · IoTCase 04

Real-Time Fleet & Cargo Visibility Platform

Client: Pan-India Logistics Operator  · Industry: Logistics & Supply Chain

Outcomes

22%Empty-mile reduction
94%ETA accuracy
61%Drop in ETA complaints

Technologies

AWS IoTKafkaReact NativeNext.jsPythonTimescaleDBTerraform
The Challenge

Zero real-time visibility into 800+ vehicles and 12,000 daily shipments. Customer complaints about ETAs were at 38% of all support tickets. Manual dispatch caused 22% empty-mile inefficiency.

Our Solution

Built an IoT telemetry ingestion pipeline on AWS IoT Core processing 50K events/min from GPS trackers. Developed a React Native driver app, a web dispatch dashboard, and an ML-based ETA prediction model using historical traffic and weather data.

Enterprise SaaS · ArchitectureCase 05

Multi-Tenant SaaS Platform Migration to Cloud-Native

Client: B2B HR-Tech SaaS Startup  · Industry: Enterprise SaaS

Outcomes

68%Infrastructure cost reduction
2 hrsTenant onboarding (from 3 wks)
5×Concurrent tenant capacity

Technologies

KubernetesTerraformGoPostgreSQLRedisGitLab CIAWS
The Challenge

Single-tenant monolith on bare-metal servers couldn't onboard enterprise clients requiring data isolation. Infrastructure costs were $80K/month with 60% idle capacity.

Our Solution

Re-architected to a multi-tenant microservices platform on Kubernetes with schema-per-tenant PostgreSQL isolation. Implemented tenant-aware API gateway, automated provisioning via Terraform, and a self-serve onboarding portal reducing sales-to-live from 3 weeks to 2 hours.

EdTech · PlatformCase 06

Adaptive Learning Management System for 200K Students

Client: Indian EdTech Platform  · Industry: EdTech & Learning

Outcomes

200KConcurrent users supported
99.5%Video stream reliability
41%Course completion rate lift

Technologies

Next.jsWebRTCAWSCloudFrontPythonRedisPostgreSQL
The Challenge

Off-the-shelf LMS couldn't support live video, adaptive assessments, and gamification simultaneously for 200K concurrent users. Video buffering complaints were at 55% of support volume.

Our Solution

Built a custom LMS on Next.js with WebRTC-based live classrooms, an adaptive quiz engine that adjusts difficulty using Item Response Theory, and a gamification layer (XP, badges, leaderboards). Deployed on AWS with CloudFront CDN and auto-scaling ECS clusters.

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