RP

RAMA PAVAN NAGA SAI SANTHOSH KATRAGADDA

Available to hire

Hi, I’m Rama Pavan Naga Sai Santhosh Katragadda, a Full-Stack Developer with 5 years of experience delivering scalable, user-centric web platforms end-to-end, from architecture to cloud deployment.

About

Hi, I’m Rama Pavan Naga Sai Santhosh Katragadda, a Full-Stack Developer with 5 years of experience delivering scalable, user-centric web platforms end-to-end, from architecture to cloud deployment. My core stack centers on Python/Django and React/Next.js, and I enjoy turning complex requirements into clean, maintainable systems that scale.

In addition to web development, I have a strong background in AI/ML and GenAI, including LLMs, computer vision, and RAG pipelines. I like integrating intelligent models into production apps to improve automation, insights, and decision-making. I’ve led health-tech and life sciences projects and published research, blending domain expertise with engineering to drive meaningful impact.

  • 6 years' experience
  • Joined April 2026

Industry experience

  • Healthcare
  • Life Sciences
  • Software & Internet
  • Financial Services
  • Education
  • Professional Services

Work experience

Sr. Full Stack Developer · Seven cells TelehealthJun 2024 – Present · 2 yrs 6 mos

Led architecture and end-to-end implementation of a multi-service health platform, owning NestJS EMR APIs, Django integrator, React/Next.js patient portal, Saleor apps, and Phoenix dashboards. Built a multi-tenant EMR service and internal dashboards (NestJS, TypeORM, MySQL) handling prescriptions, telemedicine links, doctor reviews, and chat threads linked to patient profiles. Created a Django integrator service connecting Saleor, EMR, payment gateway, referrals, identity verification, and subscription/auto-order logic via REST APIs, webhooks, and Celery tasks. Developed a patient portal and Saleor checkout apps surfacing EMR data, questionnaires, orders, labs, and chat threads across dashboards. Implemented cross-channel communications with Omnisend, Twilio, and EMR–portal chat notifications, with asynchronous processing and translation. Integrated Lifefile APIs, S3 document delivery, and robust HTTP client abstractions with retries and observability. Introduced experimentation and

Gen AI/Machine Learning Engineer & Full Stack Python Developer · Life Sciences Center, University of MissouriJan 2023 – May 2024 · 1 yr 5 mos

Architected and delivered an end-to-end GenAI platform for automated gene pathway analysis using Python, Django, React, and GPT-4, enabling efficient extraction of pathway information from scientific documents. Designed specialized computer vision and OCR pipelines (MMOCR, SAM, Google OCR, Detectron, Siamese networks) to reliably detect gene pathway images and entities. Built LLM-powered RAG pipelines integrated with external gene/protein databases to provide citation-backed answers. Orchestrated multi-LLM workflows combining GPT-4, Claude 3, and Gemini with advanced prompt engineering to interpret gene relationships and multimodal pathway content. Implemented verification and quality-control framework (cross-model voting, validators, consistency checks) reducing errors and increasing trust. Developed full-stack Django REST Framework backend and React frontend for document uploading, detection method selection, results review, and analysis management. Engineered scalable backend servic

Full Stack Developer · Bank of Baroda, IndiaJan 2020 – Dec 2022 · 3 yrs

Designed and developed full-stack web apps for internal banking operations (customer onboarding, loan processing, risk dashboards) using Python, Django/Django REST Framework, and React. Built secure REST APIs backed by PostgreSQL/SQL Server and implemented authentication, input validation, and audit logging. Developed responsive frontends with reusable components and data visualizations for staff and risk teams. Implemented business logic in Django services and database layers to optimize high-volume transactions. Integrated internal/external services (KYC/AML checks, credit bureaus, notifications) via REST/JSON, automating fraud checks, credit approvals, and customer servicing. Collaborated with data/ML teams to expose model outputs (fraud scores, risk, customer segments) via APIs and UI components for real-time decisioning. Applied unit/integration testing, CI/CD, and Agile methodologies to ensure reliability and maintainability.

Education

Master of Data Science · Lindsey Wilson University2024 – 2025
Master of Computer Science · University of Missouri2023 – 2024

Hire RAMA PAVAN NAGA SAI SANTHOSH KATRAGADDA today

Post a job and invite RAMA, or contact them directly. No hidden commission.

Post a job