Shalini Priyadarshini — Product Manager

I'm an AI Product Manager with 3+ years of experience building production-grade GenAI and LLM platforms, specializing in real-time voice and conversational AI systems deployed at enterprise scale. At Kapture CX, I lead end-to-end product development for AI-powered customer experience platforms used by Phone Pe, JIO, Flipkart, Zepto, BigBasket, Reliance, and Manipal. My work sits at the intersection of LLMs, speech systems, and platform reliability—where decisions are shaped by latency budgets, failure modes, cost constraints, and user trust, not just model performance. I currently lead product initiatives across: 1. Voice Bot Builder & Unified CX Suite — real-time conversational pipelines handling ASR, TTS, VAD, LLM orchestration, retries, fallbacks, and multilingual support across high-volume customer interactions 2. Auto QA Platform — model configuration, quality tuning, monitoring, and privacy controls for production AI operations 3. Real-time analytics systems — tracking performance, agent productivity, and operational visibility at scale These systems power large-scale, customer-facing interactions and have driven a 30% reduction in response time, 25% increase in agent productivity, and significantly improved operational visibility across enterprise CX workflows. Previously, I was part of the founding team at ValueMatrix.AI, where I led LLM-powered hiring products from zero to one—including a psycholinguistic model using RAG and LLaMA architectures that improved candidate-job fit by 30% and NLP systems for resume parsing that increased matching accuracy by 50%. Earlier in my career, I worked as a Data Analyst and ML Engineer, which gave me strong grounding in data, experimentation, and model behavior, and enables me to collaborate deeply with engineering and research teams. I'm most interested in AI systems that run reliably in production—where scale, edge cases, and operational constraints define long-term product success more than demos or prototypes. Let's connect if you're: scaling AI in high-stakes environments (CX, healthcare, finance), tackling the operational realities of production ML, or building products where "it works in the lab" isn't good enough.

Stackforce AI infers this person is a SaaS Product Manager specializing in AI-driven customer experience solutions.

Location: Bengaluru, Karnataka, India

Experience: 5 yrs 10 mos