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Hi, I’m Gayathri, a software developer specializing in backend and full-stack systems. I design robust Python backends with FastAPI and Flask and build responsive frontends with React, delivering production-ready APIs and scalable data pipelines. I also create AI-driven workflows using LangChain, LangGraph, and OpenAI APIs to automate decision logic and reduce manual reviews. I’ve built ETL and model-inference pipelines processing millions of healthcare and financial records daily, achieving low-latency responses and cost efficiencies. I collaborate closely with data scientists and compliance teams to ensure traceability, HIPAA-aligned anonymization, and robust CI/CD practices across AI-powered solutions.…Hi, I’m Gayathri, a software developer specializing in backend and full-stack systems. I design robust Python backends with FastAPI and Flask and build responsive frontends with React, delivering production-ready APIs and scalable data pipelines. I also create AI-driven workflows using LangChain, LangGraph, and OpenAI APIs to automate decision logic and reduce manual reviews. I’ve built ETL and model-inference pipelines processing millions of healthcare and financial records daily, achieving low-latency responses and cost efficiencies. I collaborate closely with data scientists and compliance teams to ensure traceability, HIPAA-aligned anonymization, and robust CI/CD practices across AI-powered solutions.

Gayathri Panga

Full Stack Developer, Back-End Developer, Web Developer, +4

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Hi, I’m Gayathri, a software developer specializing in backend and full-stack systems. I design robust Python backends with FastAPI and Flask and build responsive frontends with React, delivering production-ready APIs and scalable data pipelines. I also create AI-driven workflows using LangChain, LangGraph, and OpenAI APIs to automate decision logic and reduce manual reviews. I’ve built ETL and model-inference pipelines processing millions of healthcare and financial records daily, achieving low-latency responses and cost efficiencies. I collaborate closely with data scientists and compliance teams to ensure traceability, HIPAA-aligned anonymization, and robust CI/CD practices across AI-powered solutions.…Hi, I’m Gayathri, a software developer specializing in backend and full-stack systems. I design robust Python backends with FastAPI and Flask and build responsive frontends with React, delivering production-ready APIs and scalable data pipelines. I also create AI-driven workflows using LangChain, LangGraph, and OpenAI APIs to automate decision logic and reduce manual reviews. I’ve built ETL and model-inference pipelines processing millions of healthcare and financial records daily, achieving low-latency responses and cost efficiencies. I collaborate closely with data scientists and compliance teams to ensure traceability, HIPAA-aligned anonymization, and robust CI/CD practices across AI-powered solutions.

Available to hire

Hi, I’m Gayathri, a software developer specializing in backend and full-stack systems. I design robust Python backends with FastAPI and Flask and build responsive frontends with React, delivering production-ready APIs and scalable data pipelines. I also create AI-driven workflows using LangChain, LangGraph, and OpenAI APIs to automate decision logic and reduce manual reviews.

I’ve built ETL and model-inference pipelines processing millions of healthcare and financial records daily, achieving low-latency responses and cost efficiencies. I collaborate closely with data scientists and compliance teams to ensure traceability, HIPAA-aligned anonymization, and robust CI/CD practices across AI-powered solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Software Engineer at Humana, USA

August 1, 2024 - November 7, 2025

Designed and deployed backend microservices in Python (FastAPI, SQLAlchemy) to support patient analytics workflows, handling 5M+ records daily with under 200 ms latency. Implemented retrieval-augmented clinical question answering using LangChain, FAISS, and OpenAI LLMs to reduce manual lookup time by 45%. Rebuilt modular LangGraph workflows for pre-authorization decision trees, improving automation coverage from 30% to 80%. Developed ETL pipelines in Airflow and Pandas processing unstructured notes and discharge summaries; boosted entity extraction accuracy by 18% after fine-tuning domain models. Created an LLM inference API that dynamically selected between GPT-4 and local models based on context size and latency, cutting monthly inference costs by 32%. Ensured HIPAA-aligned data anonymization and model audit logging with compliance teams.

Software Developer (Python Backend - ML Integrated) at Infinite Infolab

July 1, 2022 - July 1, 2022

Spearheaded backend architecture in Python (Flask, PostgreSQL) for a transaction-level analytics platform handling 10M+ daily records across retail banking clients. Architected ML pipelines using scikit-learn and XGBoost to flag anomalous transactions and fraud-risk patterns, improving detection precision by 27%. Designed ETL jobs in Airflow and Pandas to merge multi-bank feeds and reconcile settlement data; cut daily processing time from 4 hours to under 1 hour. Exposed REST APIs for dashboards used by BI teams; implemented Monte Carlo-based risk simulations informing treasury decisions worth $40M+. Dockerized services with Docker and configured CI/CD pipelines in Jenkins, enabling reliable deployments and reducing production rollbacks by 70%. Collaborated with data scientists to integrate real-time model inference endpoints into production pipeline using FastAPI and Redis, enabling instant fraud-risk scoring with sub-second latency.

AI Software Engineer at Humana

August 1, 2024 - November 7, 2025

Designed and deployed backend microservices in Python (FastAPI, SQLAlchemy) to support patient analytics workflows, handling over 5M+ records daily with <200 ms response latency. Integrated retrieval-augmented generation (RAG) pipelines using LangChain, FAISS, and OpenAI LLMs for claims reviewers, reducing manual lookup time by 45%. Rebuilt modular LangGraph workflows to automate pre-authorization decision trees, improving automation coverage from 30% to 80%. Developed ETL pipelines in Airflow and Pandas to process unstructured notes and discharge summaries; boosted entity extraction accuracy by 18% after fine-tuning domain models. Created an LLM inference API that dynamically selected between GPT-4 and local models based on context size and latency, cutting monthly inference costs by 32%. Ensured HIPAA-aligned data anonymization and model-audit logging for full traceability of AI-generated outputs.

AI Software Engineer at Humana, USA

August 1, 2024 - November 26, 2025

Designed and deployed backend microservices in Python (FastAPI, SQLAlchemy) to support patient analytics workflows, handling over 5M+ records daily with <200 ms response latency. Integrated RAG pipelines using LangChain, FAISS, and OpenAI LLMs to enable retrieval-augmented clinical question answering for claims reviewers; reduced manual lookup time by 45%. Rebuilt modular LangGraph workflows to automate decision trees for pre-authorization checks, improving automation coverage from 30% to 80% of requests. Developed ETL pipelines in Airflow and Pandas to process unstructured notes and discharge summaries; boosted entity extraction accuracy by 18% after fine-tuning domain models. Created an LLM inference API that dynamically selected between GPT-4 and local models based on context size and latency, cutting monthly inference costs by 32%. Partnered with data scientists and compliance teams to implement HIPAA-aligned data anonymization and model-audit logging, ensuring full traceability ac