Technical Expertise

Cloud & Platforms

AWS/GCP/Azure, Kubernetes, Terraform, Serverless, Linux

Host AI models, manage vector databases, optimize GPU resources and control costs for scalable AI and app deployments.

Backend & APIs

Node/TS, JS, Go, Python, C++, Rust, PHP, Composer, Flask, gRPC, GraphQL/REST

Build AI-enhanced APIs, enable real-time data retrieval for apps, and roll out features with safe, controlled updates.

Data & Storage

Postgres, BigQuery, Snowflake, Redis, Kafka, Vector DBs, Neo4J, Elastic/ELK, MySQL, MongoDB

Store and query data for AI apps, enable real-time analytics, and power search with logs, graphs, or vector data.

ML/AI Engineering

PyTorch, HuggingFace Transformers, Jypyter Notebook, TensorFlow, scikit, ONNX

Develop and prototype AI models for tasks like image recognition, NLP, or predictive analytics with fast iteration.

LLM Ops & RAG

[LangChain/LlamaIndex, pgvector, Pinecone, Weaviate, Milvus, OpenAI, API/Groq]

Integrate large language models and retrieval-augmented generation for smart chatbots, search, and content generation.

MLOps

Weights & Biases, MLflow, Kubeflow, Airflow, DVC

Automate AI model training, deployment, and monitoring to ensure reliable, scalable production AI systems. Implement CI/CD for models, dataset versioning, drift monitoring

Frontend/Web

SvelteKit, Figma, Vue.js, React, Next.js, Vite

Create responsive, AI-driven web interfaces with seamless design-to-code workflows for engaging user experiences.

Mobile/Edge/IoT

Swift/Kotlin/Flutter

Build cross-platform mobile apps with AI features like offline processing or personalized content delivery.

DevOps & SRE

Docker, Helm, GitHub Actions, ArgoCD, Prometheus/Grafana, Ansible, Git

Automate deployments, monitor system health, and ensure high availability for AI and app workloads with version control.

Security & Governance

OIDC, Vault, OPA, Responsible AI frameworks, post-quantum crypto

Secure AI systems and user data with identity management, encryption, and ethical AI policies for compliance.

AI Strategy & Integration

Ethical AI roadmaps, genAI use cases, Low-code/no-code, Cursor

Design AI roadmaps and build rapid prototypes with low-code tools to validate use cases like automation or insights.

Data Analytics & Sustainability

dbt/Looker for BI.,Green IT (energy-efficient stacks like Rust)

Transform data into actionable insights with BI tools and optimize for energy-efficient, sustainable tech stacks.

Collaboration & Agile

Notion, Taiga, Mattermost

Streamline team workflows with open-source tools for project tracking, documentation, and agile sprint planning. Secure, threaded team messaging with Slack-like channels, video, and integrations for agile remote workflows.

Automation & Integration

n8n, Webflow, Figma

Streamline workflows and connect AI apps with no-code/low-code tools for rapid integrations and process automation.

Agentic AI

CrewAI, AutoGen

Deploy autonomous agents for workflow automation, like sales bots or IT support.

Edge Computing

KubeEdge

Process AI at the network edge for low-latency IoT analytics or remote operations.

This recommended tech stack harnesses modern, open-source-friendly solutions to drive scalability and innovation. However, we understand many businesses still use legacy technologies like PHP 5, AngularJS, Jenkins, MySQL 5.6, Sketch, WordPress, SVN, CVS, jQuery, Ruby on Rails, Slack or Oracle Database. If your organization relies on these or other outdated systems, we’re fully equipped to manage them, modernize your stack, or integrate with your preferred tools, such as Jira over Taiga, to align with your goals.

Our Tech Stacks and Use Cases