Chiranjeet Mishra

Architected a scalable dental insurance verification platform using FastAPI, PostgreSQL, and React, serving 200+ clinics with 99.2% uptime and efficiently handling patient eligibility verification at scale.

Developed a production-ready Agentic RAG system for patient eligibility data analysis, achieving 94% accuracy in claims estimation through optimized custom embedding pipelines.

Built an automated ETL pipeline processing over 1,500 records weekly using custom connectors and AI-driven algorithms for efficient appointment scheduling.

Designed and deployed AI workflows using n8n for 100+ clients, achieving a 40% increase in conversions across various industries by leveraging behavioral insights and predictive analytics.

Created AI-powered Lead-Gen tools customized for client needs, boosting conversion rates by 400% through advanced behavioral insights and predictive analytics pipelines.

Developed an Auto-PRD system that analyzed over 500 automation opportunities from client conversations, generating actionable insights and strategic implementation roadmaps.

Engineered a generative UI system for network and telemetry log visualization, empowering AI agents to dynamically create dashboards from raw infrastructure data, inspired by Thesys.dev architecture.

Designed and implemented a custom template schema and parser system utilizing Gemini models, migrating from n8n workflows to a Node.js backend to enhance control and reduce latency.

Integrated ClickStack with LibreChat to facilitate conversational log analysis, enabling natural language queries for deeper insights into infrastructure monitoring data.

Successfully launched an AI-powered platform that automated translation, legal document drafting, and proofreading, significantly increasing efficiency for legal professionals across India.

Directed a team of 15+ engineers in developing an event-driven microservices architecture and Next.js frontend, ensuring a seamless experience for over 200 clients.

Implemented Role-Based Access Control (RBAC) and containerized Docker services, developing LangChain agent orchestration for legal syntax with over 90% accuracy against manual quality benchmarks.

Presented an application demonstration to the Supreme Court of India, including Hon'ble Justice Sudhanshu Dhulia, for potential integration into the legal system.

Optimized HIPAA-compliant voice AI assistants by implementing advanced prompt engineering and rigorous validation of ASR, TTS, and LLM integration pipelines.

Boosted enterprise AI retrieval accuracy by 40% through the integration of a Trieve knowledge base, leveraging hybrid chunking and advanced semantic search algorithms.

Developed and delivered 3 robust backend endpoints in TypeScript, adhering to stringent QA and compliance standards and meeting aggressive healthcare deployment deadlines.

Created two Quality Assessment tools that automated voice agent testing and provided comprehensive AI outcome analysis through user-friendly dashboards.

Architected and deployed an SSPM browser automation system utilizing vision-based AI agents to monitor security configurations across 400+ enterprise SaaS applications, eliminating the need for manual quarterly audits.

Designed and implemented a hierarchical navigation map system leveraging Gemini 2.5 Flash and Stagehand for UI discovery, enabling automated, deterministic traversal and configuration extraction from complex dashboards.

Developed an observe-act-extract pipeline processing screenshots with LLM-powered observation generation, ensuring reliable multi-level navigation and data extraction across complex admin interfaces.

Provided strategic AI adoption consulting to enterprise clients, developing pitch decks and conducting financial analysis to pinpoint high-impact automation opportunities across business operations.

Crafted comprehensive AI implementation roadmaps focused on operations optimization, effectively translating complex technical capabilities into clear business value propositions for executive stakeholders.

Authored technical content and strategic documentation for the founder's office, simplifying complex AI solutions into accessible business language for broader understanding.

Developed a stock analysis web application using Gradio, deployed on a VPS, to visualize real-time stock movements through technical and volume signal processing.

Created a sentiment scoring application using FastAPI and TextBlob, analyzing live financial news scraped via Selenium to inform accurate stock movement predictions.

Designed and implemented an investor monitoring dashboard to track trades from significant investors, generating alerts for high-volume position changes.