Enterprise IT transformation and automotive embedded systems — built by engineers who understand complex, mission-critical domains.
Cloud Infrastructure
AWS, Azure, GCP migrations • High-availability architectures • Cost optimization
AI/ML Systems
PyTorch, TensorFlow • Production ML pipelines • LLM integration
DevOps & Infrastructure
Kubernetes, Terraform, CI/CD • GitOps practices • Infrastructure as Code
ADAS Development
AUTOSAR, C/C++ • Real-time processing • 50ms latency SLA
Embedded Vision
Lane detection, object recognition • GPU/FPGA optimization
Safety & Certification
ISO 26262 functional safety • SOTIF compliance • V2X integration
Real projects with measurable outcomes across cloud, AI/ML, and DevOps

Migrated 120+ VMs and 40+ databases from on-prem to Azure with automated cost optimization. Reduced infrastructure spend by 45% and improved deployment velocity by 10x.

Built GenAI chatbot using LangChain, Pinecone vector DB, and GPT-4 to query 10,000+ internal documents. Included PII detection, prompt injection guards, and audit logging.

Implemented ArgoCD for GitOps, Terraform for infrastructure, and full observability with Prometheus + Grafana. Automated rollbacks, canary deployments, and incident response.
A proven methodology that delivers results from discovery to deployment
We begin with a comprehensive analysis of your current systems, business objectives, and technical requirements. Our team conducts stakeholder interviews, architecture reviews, and identifies key opportunities for optimization.
Based on discovery insights, we develop a detailed technical roadmap, architecture design, and implementation plan. This includes technology selection, resource allocation, risk assessment, and success metrics definition.
Our architects and engineers create detailed system designs, API specifications, and proof-of-concept implementations. We validate technical feasibility and gather early feedback through rapid prototyping.
Agile development sprints with continuous integration and deployment. Our team delivers working software in iterations, ensuring code quality through automated testing, peer reviews, and security scanning.
Smooth production deployment with comprehensive monitoring, documentation, and knowledge transfer. Post-launch support includes performance tuning, user training, and continuous improvement based on real-world metrics.
Partner with a team that combines technical excellence with business outcomes

Rapid delivery without compromising quality. Our teams ship production-ready code in weeks, not months.

Built-in security best practices, compliance frameworks, and rigorous code review processes.

Every engagement includes KPIs and success metrics. We track performance, cost savings, and velocity gains.