Nishant Singh

Led architecture and technical direction from inception to production, including customer onboarding, deployment debugging, and custom integrations, ensuring seamless product launch and scalability.

Designed and scaled a multi-agent AI system (RAG + PGVector + MCP) that significantly reduced AI infrastructure costs by 67% across key platforms like WhatsApp, Instagram, Telegram, Messenger, and Shopify.

Developed low-latency voice and chat agents utilizing real-time WebSockets (FastAPI/Flask), successfully powering workflows that resolved 90% of user queries without human intervention.

Recovered over 14 hours per agent per week and increased conversion rates by 5% through the implementation of advanced AI-driven automation.

Developed and implemented internal backend automation tools, streamlining development workflows and improving operational efficiency for production systems.

Built robust performance monitoring tools, enabling proactive identification and resolution of system bottlenecks to maintain high availability and reliability.

Strengthened production-quality SDLC practices by integrating new tools and methodologies in an Agile environment, contributing to more stable and reliable software deployments.

Developed real-time IoT monitoring pipelines, processing sensor data efficiently to provide continuous insights into equipment health and operational status.

Integrated ML-based predictive maintenance algorithms into the monitoring system, enabling early detection of potential equipment failures and reducing downtime.

Contributed to the development of robust data ingestion and processing mechanisms, ensuring high data integrity and reliability for critical industrial applications.