Nitesh Gupta

Building AI-powered systems in production.

My professional work has focused on combining AI capabilities with scalable software architecture — including enterprise retrieval, intelligent workflows, distributed backend services and real-time voice systems.

ValueLabs

Software Engineer

Jun 2025 — Present•Hyderabad, India

AiDE Sales — AI-powered Sales Enablement & CRM Integration

Worked on the architecture and development of AI-powered systems supporting sales and sales-operations workflows.

  • •Led a pod of four developers working on backend architecture and implementation.
  • •Architected an event-driven microservices backend using FastAPI, RabbitMQ and Celery.
  • •Built workflows for Salesforce lead synchronization and Outlook email tracking.
  • •Designed systems for high-volume webhook processing.
  • •Resume-reported outcome: automation contributed to a 40% increase in productivity.
  • •Developed AI-driven workflows enabling sales teams to query CRM context and internal information.
  • •Integrated LlamaGuard for enterprise AI safety controls.
  • •Used LangSmith for LLM tracing and observability.
  • •Reduced conversational latency by approximately 5–6 seconds.

Intelligent Voice Agents for Customer Support

Developed real-time voice-agent infrastructure for conversational customer-support scenarios.

  • •Built a standalone intelligent voice agent using FastAPI and WebSockets.
  • •Implemented full-duplex real-time audio streaming.
  • •Integrated Voice Activity Detection.
  • •Integrated Whisper-based speech-to-text.
  • •Built dynamic structured-extraction pipelines using OpenAI models.
  • •Used strict Pydantic schemas for entity extraction and mapping.
  • •Integrated Twilio and ElevenLabs.
  • •Resume-reported outcome: approximately 35% improvement in CSAT.

ValueLabs

Software Development Engineer Intern

Dec 2024 — Jun 2025•Hyderabad, India

AiDE Chat — Enterprise Information Retrieval Platform

Contributed to an enterprise conversational AI platform with emphasis on scalable backend services, retrieval quality and external integrations.

  • •Semantic chunking
  • •Hybrid search combining BM25 and vector retrieval
  • •Cross-encoder reranking
  • •Slack integrations
  • •Zendesk integrations
  • •SharePoint integrations
  • •Confluence integrations
  • •WhatsApp integrations
  • •Contextual thread summaries
  • •Secure file-processing workflows

Recognition

2× Star of the Month

December 2025, March 2026

Recognition for contributions involving end-to-end AI orchestration and scalable RBAC authentication flows.