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Aarsh Raghav

Forward Deployed Engineer | Product Management | CX

Bengaluru

2+ years of work experience

Bolna (YC F25)
Apr 20262 moJun 2026

Bengaluru

Wrote, tested, and iterated on system prompts for 15+ production voice Al agents across D2C, fintech, healthcare, and logistics, optimising for accuracy, latency, and conversational naturalness. Audited real call recordings to diagnose agent failure points and shipped iterative prompt and flow fixes, directly improving call resolution rates and reducing escalations. Designed conversation flows and call pathways for new customer deployments, translating ambiguous business requirements into production-ready agent architecture. Led end-to-end onboarding for 3 enterprise clients scoping use cases, configuring agents, and driving go-live - ensuring a smooth handoff from sales to production. Built and maintained a cross-vertical library of prompts, templates, and best practices, reducing agent development cycle time across the team. Red-teamed voice agents to surface edge cases and failure modes, and validated performance on Hindi, Hinglish, and regional-language inputs to harden reliability and vernacular conversation quality ahead of production deployment. Surfaced frontline customer insights to product and engineering, directly informing 4 shipped feature additions.
Cozmo AI
Jun 20258 mosJan 2026

Abu Dhabi

• Owned end-to-end product delivery for 10+ enterprise clients — gathered requirements, defined technical specs, and coordinated with engineering to ship AI-powered workflows, resulting in an average 7% efficiency uplift per client. • Designed and launched 100+ Voice AI Agents using advanced prompt engineering techniques (ReACT, Chain-of-Thought, Tree-of-Thought, Memory Anchoring, RAG), tailored to use cases across Healthcare, Retail, and SaaS industries. • Built an internal observability and monitoring platform tracking 25,000+ daily AI calls, enabling real-time system reliability analysis, latency benchmarking, and downtime alerts in collaboration with DevOps. • Reduced end-to-end Voice AI response latency by up to 650ms by systematically experimenting with STT, TTS, and LLM provider combinations, improving product UX and NPS. • Implemented RAG-based knowledge retrieval using Ragie.ai to enhance agent accuracy, reducing hallucination rates and improving information relevance for client-facing deployments. • Improved interruption-handling in live voice pipelines by integrating Deepgram Flux's Eager End-of-Detection module, eliminating dependency on VAD and boosting conversation quality. • Drove a 20% average increase in client MRR through platform adoption by enabling self-serve agentic workflows and reducing manual touchpoints. • Leveraged PostgreSQL, ClickHouse, and Metabase to build analytics dashboards and reporting pipelines, improving product visibility and enabling data-driven roadmap decisions
AltMobility
Dec 20242 mosJan 2025

New Delhi

• Led product-led growth initiatives by redesigning customer acquisition and onboarding flows, reducing time-to-activation for new users. • Collaborated across sales, operations, and engineering teams to define product requirements, document workflows, and optimize the end-to-end customer experience (CX). • Managed CRM-based lead generation pipelines and tracked funnel conversion metrics, identifying drop-off points
Gnosis Partners
Aug 20245 mosDec 2024

Noida

• Led strategic market and user research initiatives across Healthcare, Finance, and IT verticals to inform product strategy and GTM planning for enterprise clients. • Developed KPI frameworks and AI-assisted reporting structures that improved insight generation speed and research accuracy. • Coordinated cross-functional requirement workshops with stakeholders, translating ambiguous business problems into structured research briefs.
Gnosis Partners
Mar 20245 mosJul 2024

Noida, Uttar Pradesh, India

Gnosis Partners
Sep 20237 mosMar 2024

Noida, Uttar Pradesh, India

Shiryam Technologies
Apr 20227 mosOct 2022

Delhi, India

Rhizicube
Jan 20224 mosApr 2022

Ghaziabad, Uttar Pradesh, India

Aarsh’s AI Stack

claude
claude
elevenlabs
elevenlabs
n8n
n8n
openai
openai
railway
railway
Cartesia
Cartesia

Education

Gautam Buddha University

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering

Gautam Buddha University

20194 yrs2023
DAV Kapil Dev Public School

Intermediate, Science

DAV Kapil Dev Public School

20172 yrs2019

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Headline

Forward Deployed Engineer | Product Management | CX

About

I help businesses ditch the grunt work and boost ops with AI. Also, if you’ve got pets, I’m all ears (and paws). Let’s talk shop and snuggles. E-mail: raarsh0@gmail.com WA: +917858995182 Call: +917303362152

Location

Bengaluru

AI stack

claude

elevenlabs

n8n

openai

railway

Cartesia

Work experience

AI Solutions Engineer at Bolna (YC F25), Apr 2026 - Jun 2026 · 2 mo, Bengaluru, Wrote, tested, and iterated on system prompts for 15+ production voice Al agents across D2C, fintech, healthcare, and logistics, optimising for accuracy, latency, and conversational naturalness. Audited real call recordings to diagnose agent failure points and shipped iterative prompt and flow fixes, directly improving call resolution rates and reducing escalations. Designed conversation flows and call pathways for new customer deployments, translating ambiguous business requirements into production-ready agent architecture. Led end-to-end onboarding for 3 enterprise clients scoping use cases, configuring agents, and driving go-live - ensuring a smooth handoff from sales to production. Built and maintained a cross-vertical library of prompts, templates, and best practices, reducing agent development cycle time across the team. Red-teamed voice agents to surface edge cases and failure modes, and validated performance on Hindi, Hinglish, and regional-language inputs to harden reliability and vernacular conversation quality ahead of production deployment. Surfaced frontline customer insights to product and engineering, directly informing 4 shipped feature additions.

Forward Deployed Engineer at Cozmo AI, Jun 2025 - Jan 2026 · 8 mos, Abu Dhabi, • Owned end-to-end product delivery for 10+ enterprise clients — gathered requirements, defined technical specs, and coordinated with engineering to ship AI-powered workflows, resulting in an average 7% efficiency uplift per client. • Designed and launched 100+ Voice AI Agents using advanced prompt engineering techniques (ReACT, Chain-of-Thought, Tree-of-Thought, Memory Anchoring, RAG), tailored to use cases across Healthcare, Retail, and SaaS industries. • Built an internal observability and monitoring platform tracking 25,000+ daily AI calls, enabling real-time system reliability analysis, latency benchmarking, and downtime alerts in collaboration with DevOps. • Reduced end-to-end Voice AI response latency by up to 650ms by systematically experimenting with STT, TTS, and LLM provider combinations, improving product UX and NPS. • Implemented RAG-based knowledge retrieval using Ragie.ai to enhance agent accuracy, reducing hallucination rates and improving information relevance for client-facing deployments. • Improved interruption-handling in live voice pipelines by integrating Deepgram Flux's Eager End-of-Detection module, eliminating dependency on VAD and boosting conversation quality. • Drove a 20% average increase in client MRR through platform adoption by enabling self-serve agentic workflows and reducing manual touchpoints. • Leveraged PostgreSQL, ClickHouse, and Metabase to build analytics dashboards and reporting pipelines, improving product visibility and enabling data-driven roadmap decisions

Assistant Manager - Customer Success at AltMobility, Dec 2024 - Jan 2025 · 2 mos, New Delhi, • Led product-led growth initiatives by redesigning customer acquisition and onboarding flows, reducing time-to-activation for new users. • Collaborated across sales, operations, and engineering teams to define product requirements, document workflows, and optimize the end-to-end customer experience (CX). • Managed CRM-based lead generation pipelines and tracked funnel conversion metrics, identifying drop-off points

Assistant Team Lead at Gnosis Partners, Aug 2024 - Dec 2024 · 5 mos, Noida, • Led strategic market and user research initiatives across Healthcare, Finance, and IT verticals to inform product strategy and GTM planning for enterprise clients. • Developed KPI frameworks and AI-assisted reporting structures that improved insight generation speed and research accuracy. • Coordinated cross-functional requirement workshops with stakeholders, translating ambiguous business problems into structured research briefs.

Senior Research Associate at Gnosis Partners, Mar 2024 - Jul 2024 · 5 mos, Noida, Uttar Pradesh, India

Research Associate at Gnosis Partners, Sep 2023 - Mar 2024 · 7 mos, Noida, Uttar Pradesh, India

Human Resources Analyst at Shiryam Technologies, Apr 2022 - Oct 2022 · 7 mos, Delhi, India

Human Resources Intern at Rhizicube, Jan 2022 - Apr 2022 · 4 mos, Ghaziabad, Uttar Pradesh, India

Education

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Gautam Buddha University

Intermediate, Science, DAV Kapil Dev Public School