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Ishika Gupta
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Ishika Gupta

Senior AI Engineer @ Voicecare.ai | Ex-Dexian| Ex-research scholar @ IIT Madras

Building intelligent solutions that matter

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Ishika Gupta

About Me

Voicecare.ai | ex-Dexian | ex-MS Scholar at IIT Madras

I'm a Senior AI Engineer at Voicecare.ai, building voice AI agents that help providers and RCM enterprises automate administrative burden and improve patient outcomes. My work blends product thinking, model evaluation, and system design for reliable, high-utility conversational AI.

I’m also building a simulation engine between the voice agent and payer systems. It stress-tests thousands of domain-specific scenarios, making validation reusable across architectures and hardening systems far faster than manual testing.

My earlier work at Dexian and my research at IIT Madras shaped my background in speech, NLP, and scalable AI systems. That foundation now informs the voice infrastructure and validation work I lead at Voicecare.ai.

Career Timeline

A quick view of the path that led to my current work in voice AI.

  • 2026 - Present Senior AI Engineer at Voicecare.ai

    Building voice AI agents for providers and RCM enterprises, plus a simulation engine for payer stress-testing across thousands of scenarios.

  • 2023 - 2026 Senior Software Engineer at Dexian

    Shipped proof-of-concept AI systems and worked across ML, NLP, LLMs, and cloud deployment.

  • 2019 - 2023 MS Research Scholar at IIT Madras

    Specialized in conversational speech synthesis, prosody, and expressive TTS (Speech and Audio Processing) under Prof. Hema A. Murthy.

  • 2014 - 2018 B. Tech at ABES Institute of Technology

    Specialization in Computer Science and Engineering.

Let's Collaborate

Interested in working together on innovative AI/ML solutions, speech processing projects, or exploring opportunities? Let's connect.

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Hi, I am currently working as a Senior AI Engineer at Voicecare.ai, where I'm building cutting-edge voice AI agents designed to help healthcare providers and RCM (Revenue Cycle Management) enterprises automate administrative workflows and improve patient outcomes. My work spans the entire product lifecycle—from designing conversational AI architectures to evaluating LLM performance in real-world healthcare scenarios. I'm also developing a sophisticated simulation engine that stress-tests voice agents across thousands of domain-specific scenarios, enabling faster validation and more robust systems across different architectures. This combines my deep expertise in conversational AI, LLMs, speech processing, and system design.

Before joining Voicecare.ai, I worked as a Senior Software Engineer at Dexian, where I had the opportunity to work on diverse, high-impact projects. My focus was on building end-to-end LLM-based applications and proof-of-concept solutions that demonstrated the feasibility and effectiveness of innovative AI systems. Specifically, I:

  • Designed and deployed production-grade LLM-powered solutions on the Azure cloud platform, ensuring high efficiency, scalability, and quality standards
  • Worked on end-to-end ML/DL pipelines, from data preprocessing and model training to fine-tuning and evaluation
  • Built solutions for trending problems in NLP, including prompt engineering, retrieval-augmented generation (RAG), and conversational systems
  • Collaborated on validating and showcasing the effectiveness of proposed AI solutions to stakeholders

Prior to joining Dexian, I was an MS Research Scholar in Computer Science at Indian Institute of Technology, Madras, where I was part of the Speech, Music and Vision (SMV) Lab under the guidance of Prof Hema A Murthy. My research focused on conversational speech synthesis with expression and prosody, combining statistical parametric and neural network-based TTS models to create more natural, human-like speech. During this period, I also served as a project officer on several government-sponsored initiatives:

  • Contributed significantly to the "Bhashini multi-lingual project," a major government-of-India initiative aimed at enabling language accessibility and inclusivity across Indian languages
  • Worked on the NLTM pilot proposal to synthesize speech in Indian languages (Hindi and Tamil) and transcreate English lectures into various Indian languages using isochronous lip-syncing technology

Interested in roles for:

• Data scientist
• Speech Analyst
• Generative AI Engineer
• Conversational AI Engineer


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