Chiranjeet Mishra

Developed a comprehensive dental insurance verification platform and AI-powered RAG system, automating claims processing and saving significant time per patient.

• Single-handedly engineered a full-stack dental insurance verification platform using FastAPI, PostgreSQL, and React, serving 200+ dental clinics.
• Developed an Agentic RAG system for precise analysis of patient data and payor-specific policy information, ensuring high accuracy.
• Automated the claims process and calendar booking workflows, saving over 30 minutes per patient through intelligent automation solutions.

Architected and developed AI workflows and agents to deliver scalable solutions, significantly enhancing client outreach and operational efficiency for over 100 clients.

• Architected and deployed n8n-based AI workflows, serving 100+ clients by translating complex business requirements into scalable technical solutions.
• Developed advanced AI agents and an MCP server for content and auto-lead generation, increasing outreach effectiveness by over 400%.
• Conducted strategic consultations with 50+ clients, identifying and implementing automation opportunities to streamline operations and meet technical demands.
• Built sophisticated voice agents for inbound/outbound communication and nurturing agents with OpenAI integration to automate critical CRM functions.

Led a 15+ developer team in building a Legal AI platform that cut operational costs by up to 50% and implemented an Agentic Framework for legal document analysis.

• Led a high-performing team of 15+ developers in building a Legal AI platform, successfully cutting operational costs by up to 50%.
• Designed and implemented an Event-Driven Microservice Architecture utilizing BullMQ, Redis, and PostgreSQL to efficiently handle 10,000+ requests.
• Implemented an Agentic Framework leveraging LangChain, achieving over 90% accuracy in legal document analysis and information retrieval.

Coordinated client discovery, translated needs into technical specifications, and managed roadmaps and handoffs for various AI projects.

• Coordinated client discovery calls, effectively translating complex needs into concise PRDs and user stories, ensuring scope and timeline alignment.
• Managed lightweight roadmaps and facilitated seamless handoffs with engineering leads for critical AI projects including Isosceles AI, Helio AI, and AuthRabbit.
• Facilitated requirements workshops and change-request triage, clarifying edge cases, data flows, and integration points to ensure project success.

Aggregated and analyzed stock prices, deployed real-time market visualization, and built web scraping scripts to support client portfolios.

• Aggregated daily stock prices for 500+ securities via GoogleFinance API, utilizing Pandas and Matplotlib for in-depth analysis.
• Deployed a Gradio application on a Linux VPS to provide real-time market visualization for client portfolios.
• Developed robust web scraping scripts using Selenium to extract over 1000 financial news articles daily, enhancing data insights.

Implemented prompt engineering for HIPAA-compliant voice assistants, integrated a knowledge base for semantic search, and developed QA automation tools to improve accuracy and reduce testing time.

• Implemented advanced prompt engineering for voice assistants, ensuring HIPAA-compliant interactions with high accuracy and data security.
• Integrated a Trieve knowledge base with semantic search capabilities, improving retrieval accuracy by 40% for enhanced information access.
• Developed two comprehensive QA automation tools, reducing testing time by 60% through automated pipelines and robust testing methodologies.

An Open Source Research Project focused on developing a theoretical framework and mathematical models for a distributed AI system inspired by biological neural networks.

A personal project involving the development of a trading system with risk management and sentiment analysis capabilities.