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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.
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.
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Own and scale the core database powering Paires’ investor-founder matching platform, built on Postgres/Supabase with pgvector, Python pipelines, and AI agents.
Build and optimize LLM-powered AI agents that surface competitive intelligence for revenue teams, focusing on retrieval pipelines, orchestration, and evaluation to improve speed and accuracy.
Build and optimize LLM-powered backend systems for scalable AI-driven search and agentic workflows, focusing on retrieval pipelines, orchestration, and evaluation.
Principal Software Developer – AI Data Architect designs and leads an AI-ready data platform for Caseware’s cloud products, setting standards for data modeling, governance, and AI integration while mentoring teams.
Builds and maintains enterprise-grade Python (FastAPI) backends and React.js frontends, deploys on AWS, and works with SQL/NoSQL databases and Kubernetes.
Designs and maintains data pipelines and vector databases to feed AI systems with clean, real-time data for RAG and agent memory.
Design and build secure, scalable AWS APIs and microservices that power AI agents and enterprise integrations, using Lambda, API Gateway, and modern data stores.
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