Shellkode / Work
Production evidence, not promises.
Case studies from the systems, teams, and constraints we have helped move into production.
Field notes
Selected work
Fintech
Mylapay's DevOps modernisation
Two releases a month, deployed by hand at night, audited under PCI-DSS. We rebuilt the delivery foundation-and shipping stopped being an event.
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Logistics
XpressBees' agentic support
Up to 15,000 emails a day, triaged by hand and in no particular order. We put an agent layer in front of the queue-and the backlog went to zero.
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Energy
Smart Joules' faster releases
Releases took hours and needed hands on them. We upgraded the cluster, moved delivery to GitOps, and brought it down to minutes.
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Healthcare
GeBBS' GenAI chart processing
Medical coding depended on certified coders reading unstructured notes. We built a Bedrock pipeline that codes 40-50% of charts without human intervention.
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Fintech
Decentro's Aurora migration
27TB in one database, while the applications only read the last six months. We tiered the data instead of lifting and shifting it.
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Retail
IndiaMART's 20M listing translation
ML translation pipelines that lacked context, needed manual review, and ignored regional SEO. We replaced them with a context aware pipeline.
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SaaS
BreatheESG's faster ESG reporting
Dashboards built on Python libraries took three months and could not do row-level security. We rebuilt them on QuickSight in two weeks.
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Fintech
50Fin's faster deployments
A monolithic repo with no deployment automation, and SMS costs rising through international routing. We migrated the platform and built the pipeline.
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Retail
A pharmacy chain's supply-chain analytics
SQL Server and PowerBI could not carry 1.5TB of sales history across 250+ tables. We built the warehouse underneath it.
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Identity
MetaMap's AWS cost savings
120TB scanned monthly across 30+ dashboards, with costs that spiked unpredictably. We moved the analytics platform onto Redshift.
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Retail
Quick commerce's faster delivery
Batch pipelines meant every metric arrived a day late. We rebuilt the data path around change data capture and got it to fifteen minutes.
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Retail
A pharmacy chain's Redshift warehouse
Data across store databases, sheets, CRM and transaction systems, with 3x year-on-year growth and no unified place to analyse it.
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SaaS
PreSkale's GenAI revenue analytics
Identifying product gaps and their revenue impact was manual and slow. We built a Bedrock chain that maps Jira tickets to revenue automatically.
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Manufacturing
A manufacturer's document search
Technicians lost one to two hours a day searching disorganised manuals. We put a Kendra-backed assistant in front of all of it.
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Fintech
A lending platform's support automation
A maxed-out support team where more headcount was cost-prohibitive. We automated intake and drafting across local languages and English.
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Fintech
DataTwin's GenAI transaction analysis
Their invoice AI needed five man-months of retraining per 50,000 invoices. We replaced the retraining with a Bedrock workflow.
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Healthcare
LifeSignals' 50% lower AWS bill
One monolithic AWS account holding every workload, in a regulated environment. We split it, right-sized it, and halved the bill.
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Fintech
Klub's EKS migration
ECS limited how far they could scale and locked them to one provider. We moved the platform to EKS to remove both constraints.
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Fintech
Klub's Argo CD delivery
No self-healing, no rollback, no drift detection across many microservices. We put GitOps in front of all of it.
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Fintech
Klub's 50% cloud cost cut
Limited visibility into what drove the bill, and a non-production environment per workload. We assessed it, right-sized it, and shared it.
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Insurance
An insurer's agentic advisor assistant
3,000+ advisors were searching for answers mid-call. We embedded an agentic assistant that acts like a real-time sales supervisor-live data, live reasoning, zero context-switching.
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Security
AWS Security Agent security operations
DUMMY CASE STUDY — A plausible reference architecture for an AI-assisted cloud security workflow. This is not real client data.
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