Prasad Gole

Leading AI strategy and product development at Storylane, reporting directly to founders and collaborating with CXOs to build AI-native product experiences. → Architecting Agentic AI systems and multi-agent workflows for autonomous content generation and interactive product demos → Building production-grade RAG pipelines with Langchain and LlamaIndex for intelligent knowledge retrieval and personalization → Fine-tuning and deploying LLMs (GPT-5, Claude Opus 4, Llama 3.2) using LORA/QLORA for domain-specific applications → Designing vector search infrastructure with Pinecone and Neo4j for semantic retrieval and context-aware responses → Driving AI roadmap, model evaluation, and scalable deployments on AWS (Sagemaker, Bedrock)

Building an AI-powered mental health companion providing 24/7 personalized wellness support to millions worldwide. → Scaled to 12M+ engaged users and 1.5M+ signups across 22 countries → Developed proprietary LLM architecture combining natural language processing with evidence-based therapeutic techniques for personalized mental health support → Built AI Avatars of iconic personalities (Steve Jobs, Elon Musk) to deliver domain-specific advice in relatable, engaging formats → Reduced GPT hallucination rates from 9% to 2% through custom fine-tuning and knowledge graph integration — earning a technology patent → Implemented multilingual Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines for accessible, voice-enabled mental health conversations → Mission: Breaking the stigma around mental health while making support accessible, relatable, and effective for everyone

Co-founded a healthcare AI startup in the US with two American partners, focused on clinical documentation, patient management, and AI-assisted healthcare operations. → Built the AI + backend infrastructure for automated patient note-taking and clinical documentation → Developed LLM + RAG architecture for extracting actionable insights from medical consultations, transcripts, and clinical notes → Created real-time transcription and AI-powered summarization pipelines for physician-patient interactions → Built Neo4j-based knowledge graphs for medical entity recognition and relationship extraction, improving diagnostic accuracy by 40% → Integrated Quadrant DB for handling large-scale, time-series healthcare data, reducing query times by 35% → Implemented HIPAA-compliant data pipelines for secure handling of protected health information (PHI) → Led product development and technical architecture while partners drove US market expansion → Successfully pitched to and acquired by Zynix AI to integrate our platform into their clinical operations suite

Founded and scaled a GPT-powered smart emailing assistant, incubated at IIT Kanpur. → Developed a generative emailing assistant powered by fine-tuned LLMs using OpenAI's GPT architecture, integrated with Gmail and Outlook → Implemented Langchain-based RAG for context awareness and personalization, achieving 65% improvement in email response rates → Incubated at IIT Kanpur — pitched to the Director, raised seed funding → Scaled to 70,000+ users within 3 months through targeted marketing and influencer partnerships → Conducted model fine-tuning using LORA and QLORA, reducing irrelevant outputs by 40% → Successfully sold to tech investors

→ Awarded Top Employee of the Month (2x) → Leveraged AI technologies to develop 3 standalone services and enhance 6 existing product offerings for 30K+ users → Implemented multi-lingual transcription and Speaker Diarization using OpenAI's GPT-3 and Whisper → Architected generative AI transcript enhancement model, cutting errors by 20% using POS tagging, semantic similarity, and fuzzy logic

- Developed and deployed 5+ solution applications in Django as Docker Containers on AWS ECS. - Designed and improved over 10 Rest APIs for cross-platform integrations and internal services communication. - ML Projects - Topic Modelling, Text-sentiment analysis. - Skills: Natural Language Processing (NLP) · Machine Learning · Neural Networks · AWS Sagemaker

Hands-on experience with AWS and helped with 3 system migrations. EC2, ECS, S3, VPC, IAM, SQS, Lambda, and Cloud-based infrastructures Skills: Amazon Web Services (AWS) · Python

Major in Engineering with Specialization in Computer Science Graduated with highest honours and 1 year early GPA: 9.1 / 10

Specialization in Data Science with AI Completed Masters early in just 2 semesters with Class Valedictorian