Services
Services for product, AI, backend, cloud, and data.
First releases, AI features in live environments, Spring Boot systems, cloud moves, and data platforms — scoped as fixed projects or ongoing retainers.
Discuss a project →Common project shapes
First-version product
A usable release in weeks: APIs, auth, data model, and a deploy path your team can demo to customers or investors.
AI in production
LLM features, agents, and RAG that run under load — with monitoring, spend control, and a path to operate after we leave.
Steady-state engineering
Upgrades, patches, incidents, and performance for systems that already make money — without hiring a full platform team.
Move or modernize
Cloud cutovers, Spring Boot upgrades, and data-platform changes with a written plan finance and security can review.
Product & MVP
Rapid MVP development
End-to-end MVP: backend, APIs, auth, cloud deploy, and handoff docs. Built to launch, not as throwaway prototype code.
AI-native product MVP
Ship an AI-first product quickly — chat, copilots, or workflow automation with real backends, eval hooks, and production deploy paths.
Product engineering squad
Embed with your product team for roadmap delivery — features, integrations, and quality gates on a fixed or retainer model.
AI & Intelligent Systems
AI-forward deployment
Production deployment of LLM apps and agents: model gateways, scaling, secrets, observability, rollback, and environment promotion — AI-ready from day one.
LLM platform engineering
Shared AI infrastructure for product teams — routing, rate limits, caching, multi-provider failover, and cost controls across apps.
RAG & agent systems
Retrieval pipelines, tool-using agents, and orchestration designed for reliability — not demos that break under real traffic.
Vector search & embeddings infrastructure
Embedding pipelines, vector stores, hybrid search, and indexing ops so RAG and semantic features stay fast and maintainable.
AI evaluation, safety & quality ops
Offline/online evals, regression checks, red-team basics, and quality gates before and after you ship model or prompt changes.
AI / LLM FinOps
Token and infra spend baselines, waste maps, budgets, and guardrails — optional integration with TokenSentinel and your cloud billing.
MLOps & model serving
Model packaging, serving (including GPU where needed), versioning, canaries, and monitoring for classical ML and foundation-model workloads.
Backend
Java Spring Boot development
APIs, domain services, and integrations for fintech, healthcare, and real estate — secure, testable, production-grade.
Spring Boot maintenance
Ongoing care for live systems: Spring/JDK upgrades, security patches, performance, and knowledge transfer.
Legacy → Spring Boot migration
Modernize aging Java stacks with phased cutovers — less risk than a big-bang rewrite.
Event-driven & real-time backends
Kafka/Pulsar-style pipelines, webhooks, and low-latency APIs for notifications, payments, and operational workflows.
API platform & integration layer
Gateway design, partner APIs, B2B integrations, and versioning so product and partners move without breaking each other.
Cloud & DevOps
Cloud migration
Move workloads to AWS, GCP, or Azure with architecture, cost baselines, and runbooks your team can own.
Kubernetes & delivery
Clusters, CI/CD, environments, and reliable releases — including managed ops when you want us to run the platform.
Platform engineering (IDP)
Internal developer platforms, golden paths, and self-serve deploy templates so product teams ship without ticket hell.
Serverless & edge architectures
Lambda/Cloud Functions, edge runtimes, and CDN-aware designs for global latency and cost-efficient scaling.
Cloud operations & FinOps
Reliability, cost control, backups, and operational hygiene for product and AI workloads.
Observability & SRE modernization
Metrics, tracing, logs, SLOs, and on-call practices that make incidents shorter and releases safer.
App security & zero-trust foundations
Secrets, IAM, network boundaries, and secure CI for products that handle money, health, or personal data.
Data & Analytics
Snowflake
Warehouse design, roles, cost-aware compute, and data products your analysts can trust.
ETL / ELT pipelines
Ingestion, transforms, quality checks, and orchestration — batch or near real-time.
Databricks & lakehouse
Lakehouse setup, jobs, governance, and production pipelines on Databricks.
Streaming & real-time analytics
Event streams to dashboards and decisions — Flink/Spark Streaming, CDC, and operational metrics that stay fresh.
Data governance & quality
Catalogs, lineage, access policies, and tests so regulated teams can use data without losing control.