HARSHIT GUPTA

Software Developer - AI at Jorie Healthcare AI

Designed and deployed multi-agent workflows in production using Azure AI Search and Microsoft Foundry to power document intelligence and analysis across 5+ client use cases. Developed internal AI application features using FastAPI and React.js to deliver workflow APIs and user-facing interfaces for EHR/billing operations, supporting 3+ internal teams. Engineered MCP-enabled tool-calling agent with Pydantic-based structured outputs to enforce validation guardrails, capturing 8,000+ daily audit/compliance decision logs in Grafana. Enhanced Revenue Cycle Management (RCM) RPA automation pipelines using Python, Selenium, and Azure, reducing manual billing effort by 40% and cutting claim processing time by ~30% while ensuring HIPAA compliance. Benchmarking GenAI stacks (Claude, OpenAI, Gemini, vector databases) to compare latency, response quality, and framework choices for production AI workflows.

AI Engineer at Indiana University Bloomington

Developed academic support web platform with recommendations and GenAI Q&A services, used by 48K+ students. Increased retrieval accuracy by 55% by engineering LangChain-based RAG pipelines with hybrid retrieval, semantic embeddings (OpenAI, Cohere), and Qdrant vector search. Reduced hallucinations by 30% and improved response reliability through evaluation/observability pipelines using DeepEval, LangTrace, and Guardrails. Accomplished 30% increase in user satisfaction by building ML pipelines with PyTorch neural networks for personalized recommendations based on 200K+ student activity logs.

Software Engineer Intern at Bloom Insurance

Improved claims-processing decision accuracy by 10% by integrating TF-IDF, NER, and BERT-based NLP models into production analytics workflows. Drove 15% revenue increase using 10+ interactive Power BI dashboards and ad-hoc KPI reports to provide actionable insights. Built and optimized ETL pipelines using Python and SSIS, processing 200GB+ of policy data for insurance analytics, reducing data retrieval time by 40%.

Senior Software Engineer at Mahindra Finance

Delivered customer management app for 5,000+ executives, reducing response time by 35% and boosting conversions by 20%. Programmed risk assessment platform for loan products, reducing approval delay time by ~65% while ensuring data privacy and compliance with regulatory policies. Architected enterprise POC chatbot with GPT-3.5-turbo on AWS Lambda and API Gateway, handling 200+ daily company queries with context-awareness to improve response reliability. Led 3 developers leveraging JIRA and Agile/Scrum, ensuring on-time completion while improving workflow efficiency by 15%. Optimized CI/CD pipelines using Docker and Jenkins to reduce deployment downtime by 35% for containerized applications.

Software Engineer - Data Team at Piramal Capital & Housing Finance

Reduced MTTR by 35% and increased service availability by 12% across 40+ APIs by developing an anomaly detection system using Python, Elasticsearch, and Kafka with automated fault detection and alerting. Reduced compliance risk by building automated Airflow DAGs for image masking and batch processing of 10–15 GB/day of data with partitioning and exception reporting. Decreased post-release defects by 20% per release, enforcing SonarQube code reviews and automated CI/CD pipelines in Jenkins. Increased test coverage by 25% with unit and integration tests to reduce code smells and production vulnerabilities.