Owned end-to-end delivery of client-facing projects, covering requirements, architecture, implementation, testing, demonstrations and deployment.
Engineered enterprise-scale solutions serving 1,000+ concurrent users and around 10,000 daily active users, integrating AI/ML features, internal applications and third-party systems with automated testing, evaluations and analytics.
Designed and implemented maintainable business logic, secure APIs and full-stack workflows with enterprise authentication, RBAC, strong data-integrity controls and system-wide audit trails.
Technologies: Python, TypeScript, PostgreSQL, FastAPI, React.js, Microsoft Azure, RBAC
Software Development & AI Engineer - Comoto Holdings
· Remote (Philadelphia, USA)
Built and deployed a microservice-based multi-agent platform using LangChain/LangGraph, leveraging PostgreSQL and LLMs from various providers (OpenAI, Gemini, Anthropic, Open-Source), with <7s E2E latency.
Designed a real-time agentic RAG pipeline and custom data connectors to integrate multiple internal data sources, enabling agents to retrieve and reason over enterprise knowledge securely and reliably.
Developed an observability dashboard for analytics and management along with RBAC and Google SSO integration, and deployed the agents and dashboard across an on-prem datacenter and GCP.