Lavesh Nagda
I’m Lavesh Nagda, a software engineer focused on building and evaluating AI/LLM-powered systems.
About
I’m Lavesh Nagda, a software engineer focused on building and evaluating AI/LLM-powered systems. I work daily with Claude and OpenAI APIs, designing prompts, running output-evaluation loops, and validating quality for accuracy, usefulness, and tone—especially for customer-facing and software-engineering contexts.
Alongside my AI/engineering work, I have 2+ years of high-volume customer operations experience with US telecom and logistics accounts (Comcast at Firstsource and FedEx at Wipro). That background helps me translate complex technical issues into clear, reliable communication and build automation that improves resolution rates, documentation quality, and process consistency.
- 2 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Telecommunications
- Transportation & Logistics
- Professional Services
More experts in Mumbai, India
Work experience· 4 roles
Build AI-powered automation tools using Python, Claude API (Anthropic), and OpenAI, including prompt design, output evaluation loops, and quality control. Integrate voice AI (ElevenLabs), REST/GraphQL APIs, MongoDB, and Apache Solr into production systems. Implement web scraping and data pipeline workflows for B2B lead generation; maintain a Laravel/PHP production stack day-to-day. Evaluate LLM-generated responses for accuracy, helpfulness, and coherence as part of iterative development.
Identified manual operational processes and built Python/Node.js automation scripts to eliminate repetitive work. Developed LLM-based tools and tested prompt quality through systematic review of model outputs.
Handled 100+ complex technical support cases daily for Comcast (US broadband, cable TV, and VoIP). Diagnosed issues and provided accurate written/verbal explanations while maintaining strict accuracy and resolution-rate KPIs. Documented recurring error patterns and process gaps, flagged cases requiring escalation based on content quality, and used US telecom terminology and service workflows.
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