Led development of a complex full-stack platform handling non-trivial business rules, approvals, and data integrity requirements. Owned backend architecture, API design, and frontend integration, ensuring performance, security, and test coverage. Worked closely with stakeholders to translate evolving requirements into scalable technical solutions.

Tech: Node.js / Python, React, relational databases, REST APIs, CI/CD

Built an internal dashboard to monitor AI system performance, costs, latency, and output quality across multiple models and workflows. Enabled teams to understand system behavior in production and make informed decisions about optimization and scaling. Integrated logging, metrics, and visualizations into a single interface.

Tech: React, TypeScript, backend APIs, analytics tooling, cloud monitoring

Led development of a complex full-stack platform handling non-trivial business rules, approvals, and data integrity requirements. Owned backend architecture, API design, and frontend integration, ensuring performance, security, and test coverage. Worked closely with stakeholders to translate evolving requirements into scalable technical solutions.

Tech: Node.js / Python, React, relational databases, REST APIs, CI/CD

Architected a multi-agent workflow engine where specialized AI agents collaborated to complete multi-step tasks autonomously. Implemented orchestration logic, state management, and safety controls to ensure deterministic behavior where required. Emphasis was placed on maintainability, clear abstractions, and production observability rather than experimentation-only prototypes.

Tech: Python, agent frameworks, message queues, async processing, cloud deployment

Built a full-stack SaaS application that allowed users to upload unstructured data and query it using natural language. Implemented RAG pipelines for accurate retrieval and answer generation, combined with a modern web interface for managing datasets, prompts, and usage analytics. Designed the system for multi-tenancy, security, and scalable deployment.

Tech: React, TypeScript, Python, vector search, PostgreSQL, cloud infrastructure

Developed an end-to-end conversational AI system supporting real-time interactions via text and voice. Integrated speech-to-text, text-to-speech, and LLM-based dialogue management with fallback and routing logic for reliability. Focused on latency optimization, graceful degradation, and continuous improvement based on real conversation data. The system was actively used by customers in production.

Tech: Python, LLMs, STT/TTS providers, real-time streaming, backend APIs, cloud services

Designed and implemented a production-ready AI agent platform enabling businesses to automate complex workflows using LLMs. Built agentic workflows with RAG, tool calling, and memory layers, allowing agents to reason over proprietary documents and external APIs. The system was designed for reliability, observability, and iterative improvement in live environments. Deployed scalable backend services with strong monitoring to support real user traffic.

Tech: Python, LangChain, vector databases, REST APIs, cloud infrastructure, monitoring tools