Production
—
engineered for reliability, observability, and scale.
We design and deliver production-grade scalable software, AI systems, ML platforms, and secure
cloud
infrastructure for organizations that demand measurable outcomes.
Book meeting with us
Services
AI & Agentic Systems
Architecting LangChain and LangGraph production workflows, including
typed StateGraph DAGs, branching, loops, parallel execution, function-calling agents, and robust session
checkpointing for fault-tolerant recovery.
ML Platform Engineering
Building multi-tenant ML platforms, model serving infrastructure
(GPU/CPU), and implementing platform security hardening for enterprise use.
Data Engineering and Analytics System Design
Designing and implementing end-to-end data ingestion, schema modeling,
transformation pipelines, and efficient storage for high-volume workloads.
Cloud Architecture & GCP
Deploying secure, scalable, and cost-optimized infrastructure on Google
Cloud Platform, including IAP, VPC Service Controls, Cloud Run, GKE, and IAM.
DevOps and CI/CD
Creating reproducible CI/CD pipelines for models and data,
comprehensive observability with Grafana, and enabling fast, safe rollouts.
Observability & SRE
Reducing incident time-to-resolution with targeted telemetry. We've cut
RCA time from hours to minutes in production systems.
Fractional CTO / Technical Leadership
Providing hands-on leadership to scale teams and platforms. We've
scaled engineering teams 5x in one year and hired key senior ICs.
Results & Metrics
Quantifiable impact and proven engineering excellence.
>$100K
Saved in yearly GCE storage costs at a multi-billion-dollar public
pharmatech company
94%
Reduction in incident resolution time (from ~2 hours to ~5 minutes) by
building comprehensive observability with Grafana and log-based metrics
99%
Reduction in new customer provisioning time by automating user
provisioning and through IaC-based resource provisioning
10M+
Records processed daily for a B2B fitness analytics platform serving
major franchises
About us
Expertise in AI, Data, and Cloud Tech
With over 15 years of experience, we specialize in key areas including complex
ML/AI ecosystem development, data engineering, and analytics system design. Our expertise encompasses
a range of technologies like GCP, Docker, AWS, Airflow, Redshift, PostgreSQL.
We've built and led projects spanning AI, LLMs, machine learning, and cloud infrastructure across
diverse industries including healthcare, IoT, fitness analytics, computer networking, and e-commerce.
Our systems process hundreds of terabytes of data daily. We excel in CI/CD and IAC, with proficiency
in
Buddy, Concourse, and Terraform.
Committed to integrating with your operations, we offer skilled engineering expertise for both
short-term and long-term projects.
