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Nihal PardeshiNP
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Nihal Pardeshi

@nihalpardeshi

AI product intern building LLM-powered omni-channel voice agents, optimizing latency, quality, and deployment-ready workflows.

India
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What I'm looking for

I'm looking for an Associate AI Product Manager or entry-level PM role where I can work close to real production systems. I've spent the last year scoping, shipping, and iterating on production conversational AI, I want to bring that hands-on AI systems experience into structured product ownership

I’m an AI Product Intern (ChatMaven.ai) focused on shipping deployment-ready conversational AI across voice, SMS, and email. I owned an MVP phase for an AI-powered healthcare IVR—from ideation and user-journey mapping to initial product creation—and helped drive it toward live deployment.

I also strengthen model reliability through evaluation and guardrailing: I conducted IEEE-style LLM rubric evaluation research on GPT-4 scoring consistency, translated results into a leadership-approved PRD, and reduced edge-case failure rates by 20% using prompt engineering and structured system prompting. On projects, I built a 0-to-1 AI outbound voice agent and designed multi-step agentic workflows (speech → LLM reasoning → tool action), achieving 70–77% latency reduction, while building product lifecycles and moderation pipelines for end-to-end user impact.

Experience

Work history, roles, and key accomplishments

CH

AI Product Intern

ChatMaven.ai

Jun 2025 - Nov 2025 (5 months)

Owned the first MVP phase of an AI-powered healthcare IVR from ideation through initial product creation for live deployment. Improved edge-case failure rate by 20% and reduced LLM agent response latency from 4–5s to under 2s via prompt engineering, guardrailing, and structured system prompting across voice, SMS, and email workflows.

Education

Degrees, certifications, and relevant coursework

Vishwakarma University logoVU

Vishwakarma University

Bachelor of Technology (B.Tech), Computer Science (AI/ML Specialization)

2023 - 2027

Pursuing a B.Tech in Computer Science with an AI/ML specialization. Research includes the Conflict-Aware Geometric Routing Network (CGRN) for multimodal sentiment analysis with sarcasm-sensitive conflict handling and explainable per-inference reports.

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