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Architect and build Factored OS, a modular full-stack platform enabling teams to ship tools efficiently, using Node.js/React and cloud services.
Builds enterprise-grade Python/Django and FastAPI backends plus React/Next.js frontends, deploys on AWS, and integrates AI models (OpenAI, LangChain) into scalable microservices.
Principal Software Engineer to lead the architecture of an AI-ready data platform for a global fintech company, defining standards for trusted, governed data products that power analytics and secure customer integrations.
Build and maintain Factored OS, a modular full-stack platform enabling internal teams to ship tools efficiently, using Node.js/React and cloud infrastructure.
Build and maintain AI-powered travel systems, including data infrastructure, scalable APIs, and LLM-based prototypes in Python, to power millions of user experiences.
Build and maintain RAG pipelines: clean and transform unstructured data, generate embeddings, and optimize vector indexes for retrieval quality.
Build and maintain data pipelines that clean, normalize, and embed unstructured documents for RAG systems using Python, Ollama, and Supabase pgvector.
Build full-stack web apps and AI-powered tools using React, Python, and LangChain/LangGraph, integrating RAG workflows and LLM APIs in a regulated bank’s analytics team.
Build and deploy backend services for AI/ML models, integrating LLMs, vector databases, and RAG pipelines using Python, FastAPI, and cloud platforms.
Build and scale backend services for AI-powered voice assistants and call-center platforms using Python, LLMs, STT/TTS, and real-time voice pipelines.
Design and build LLM-powered multi-agent systems for digital banking using Google ADK and LangGraph, integrating RAG pipelines, tool calling, and robust orchestration for production deployment.
Build and ship AI-powered marketing and sales platforms using Next.js, Node.js, and AI agents with LangChain/CrewAI, deploying on AWS/GCP via Terraform and GitHub Actions.
Lead a hybrid role managing data engineering teams and client projects, designing Azure-based cloud data platforms and GenAI-ready data architectures for banking, insurance, and retail clients.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Build and scale Evolve’s proprietary education platforms from the ground up, covering full-stack development, cloud deployment, and database design for internal and external use.
Senior Cloud/DevOps Engineer designs, scales, and secures Yurest’s AWS-based SaaS platform for hospitality clients, using Kubernetes, CI/CD, and AI infrastructure while mentoring the team.
Build and deploy production-grade LLM-based applications using Python/Java/TypeScript, integrating with OpenAI, Claude, and open-source models while optimizing cost, latency, and security.
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
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