Prisha Singla — Software Engineer

I build AI systems that work in production—not just demos. AI Engineer with 1.5 years building production AI applications. I focus on the unglamorous but critical parts: quality monitoring, cost optimization, and making LLM systems reliable when real users depend on them. What I've built: - AI agents handling 50,000+ requests daily with quality degradation detection - Monitoring systems that catch AI failures 30-40% earlier than traditional approaches - Cost optimization reducing LLM API spend by 60% through caching and configuration - Production workflows with proper error handling, retries, and observability Recent: Attended AI Summit 2026 in Delhi—had conversations with engineers building AI for government healthcare and critical infrastructure. Reinforced my belief that production AI is about constraints, not just capabilities. Current work: Building quality monitoring frameworks for AI agents. Exploring how to detect when AI is "working" but producing degraded output—the silent failures that don't show up in logs. Tech stack: Python • LLMs (OpenAI, Anthropic) • FastAPI • Redis • Monitoring & Observability • Agent Systems • Production Reliability How I think about AI: The best AI systems aren't the flashiest in demos. They're the ones teams trust to run unsupervised because they fail gracefully, cost predictably, and work reliably. What I'm looking for: Roles building production AI systems—startups, product companies, or government initiatives—where engineering depth matters more than hype. Open to opportunities across India, remote, or international roles. If you're solving production AI challenges, let's connect.

Stackforce AI infers this person is a Backend-heavy AI Engineer specializing in production systems.

Location: Bengaluru, Karnataka, India

Experience: 2 yrs 4 mos