Priyanjali Datta

Audio Futures is revolutionizing spatial audio through advanced AI technology that powers personalized, immersive sound experiences. The proprietary AI system performs real-time field mapping and scene analysis, enabling dynamic audio adaptation across entertainment, gaming, and XR environments. The platform's core innovation includes AI-powered interactive soundscapes and personalized dynamic mixing, demonstrated by two Grammy-winning albums and adoption by Sony's 360 Reality Audio Format. With breakthrough developments in AI-generated music for adaptive scenarios like fitness and gaming, Audio Futures has established itself as the only viable challenger to Dolby Atmos in the $12B spatial audio market, securing partnerships with Sony Entertainment and Safran Aerospace.

• Leading Product Marketing & Growth - Scaled beta product to $1M revenue with 1,000+ creators through product-led growth
• Strategic Enterprise Partnerships - Exclusive partnership with Sony for 360 Reality Audio Format implementation. Worked with CEO & Cofounders for a multi-year partnership with Safran Aerospace, expanding AI audio technology to 100+ airlines catering to 500 million pairs of eyeballs annually
• Developing integration pipeline with major creative platforms (Adobe, Avid, Spotify, Youtube, Ableton)

Led development of a proprietary AI platform that transformed static websites of Professionals like Life Coaches into interactive environments through AI-powered audio-visual content generation and avatar technology.

• Architected "Generative Active Video" platform integrating multiple transformer-based models:
  Deployed Hugging Face's transformers library for multiple NLP tasks including: BERT and RoBERTa for text classification and sentiment analysis
• T5 for text summarization and content generation
• Wav2Vec2 for speech recognition and transcription
• Implemented Runway ML for real-time video synthesis and manipulation
• Integrated Eleven Labs for high-fidelity voice cloning and synthesis
  
• Built production pipeline achieving 85% user engagement through: Fine-tuned language models for domain-specific content creation
• Automated QA systems using BERT-based models for content validation
  
• Scaled to 10,000+ customers with enterprise-grade infrastructure: Optimized inference pipelines for real-time content generation
• Implemented model quantization and distillation for efficient deployment
• Developed custom training pipelines for domain adaptation
  

Pioneered AI diagnostic system for early cancer detection achieving breakthrough results:72% diagnostic accuracy across 13 Indian and African languages

• Detected 1,759 early-stage breast cancers and 20,000+ critical conditions
• Reduced cancer screening costs from $100 to $6 per person
• Published research on cross-cultural AI adaptation in healthcare
  
• Scaled AI deployment for global impact:Trained and deployed AI system through 4,010 community health workers
• Screened 135,000+ women below poverty line across India and East Africa
• Implemented in 4 countries with culturally adapted interfaces
• Developed offline-first architecture for resource-limited settings
  
• Led research and innovation recognized globally:Selected among Top 40 Healthcare Innovators by USAID, UK-DFID, and Meta
• Research on AI accessibility showcased at World Health Organization
• Innovation exported to East Africa through Millennium Alliance
• Secured $1M+ in research grants and institutional funding
  

I have worked as an Entrepreneur-in-Residence with Prakasha Agarwal. Prakash is a pioneering Silicon Valley entrepreneur who co-founded NeoMagic Corporation, a groundbreaking semiconductor company that revolutionized graphics and memory technology in notebook computers. Under his leadership, NeoMagic went public in 1998 and achieved a market cap of over $2B. Today, he focuses on mentoring and investing in breakthrough innovations in AI, deep tech, and Web3 across Silicon Valley and India.

Conceptualize and architect an ambitious AI education platform targeting 1.1 million rural Indian schools. Led the end-to-end designing of a system architecture that integrates:

• Advanced AI components including NLP, speech recognition/synthesis, and computer vision to create an interactive learning environment
• Scalable infrastructure designed to handle millions of concurrent users across diverse geographical locations
• Human-centric design principles ensuring accessibility for rural students with varying levels of digital literacy
• Cost-effective deployment model leveraging existing infrastructure in the most remote schools catering to underprivileged children

The project aims to democratize quality education through AI-powered personalized learning, potentially impacting over 175 million children in rural India who currently lack access to engaging educational experiences.