Python AI Backend Engineer for Healthcare

Healthcare Tech Solutions, NJ July **** – Present

MALATHI D.

Python / AI Backend Engineer

Princeton, NJ 732-***-**** *******.********@*****.*** PROFESSIONAL SUMMARY

Versatile Backend Engineer with 8 years of enterprise application development experience, specializing in Python, FastAPI, and Generative AI integration within the healthcare sector. Proven track record of designing efficient REST APIs, automating data workflows using Azure OpenAI, and enforcing strict HIPAA compliance. Adept at bridging the gap between traditional software development and modern AI application design by building semantic search workflows, optimizing database performance, and designing structured prompt pipelines.

ATS Optimized Keywords & Core Competencies: Generative AI (GenAI), Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Prompt Engineering, Semantic Search, FastAPI, Django REST Framework

(DRF), Python Automation, ETL Data Pipelines, RESTful API Development, Microservices Architecture, Cloud Computing (AWS, Azure), HIPAA Compliance, Protected Health Information (PHI) Security, Relational & NoSQL Databases (PostgreSQL, MongoDB).

TECHNICAL SKILLS

Languages & Core: Python, SQL, C#, JSON Data Parsing, JavaScript, HTML5, CSS3 AI & ML Engineering: Azure OpenAI Service, OpenAI API, LangChain, Structured Prompt Design, Text Summarization Pipelines, Retrieval-Augmented Generation (RAG) Web Frameworks: FastAPI, Django REST Framework (DRF), ASP.NET MVC, WEB API, WCF Databases & Tools: PostgreSQL, MongoDB, SQL Server, Redis, Celery Security & Compliance: HIPAA Regulations, PHI Encryption, JWT Authentication, OAuth 2.0, Role-Based Access Control (RBAC)

Methodologies/DevOps: Agile Scrum, Git/GitHub, Jira, Postman, Swagger/OpenAPI, Docker, AWS (S3, EC2)

PROFESSIONAL EXPERIENCE

Python Developer (AI & Backend)

Project: Secure Care Management & AI Summarization Platform AI Integration & Prompts: Integrated Azure OpenAI (GPT-4) APIs into backend systems; engineered structured prompt templates to automatically transform unstructured physician narratives into concise, structured clinical summaries.

RAG Implementation: Built Retrieval-Augmented Generation (RAG) prototype workflows using LangChain to enable semantic search capabilities across historic patient care guidelines and medical records. Backend API Design: Designed and optimized asynchronous REST endpoints using Python and FastAPI to deliver low-latency patient metrics and diagnostic reports to care managers. Process Automation: Programmed a data pipeline that parses historic patient records to auto-generate template-based care plans, reducing manual paperwork.

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Healthcare Systems Group, NJ July 2022 – June 2024 Wipro Technologies, New York / UK Sept 2019 – July 2022 Wipro Technologies, UK June 2017 – Sept 2019

Database Management: Developed relational schemas in PostgreSQL and document structures in MongoDB, optimizing data access through intelligent indexing. Security & Compliance: Enforced strict HIPAA compliance across APIs by implementing JWT authentication, OAuth 2.0, and package-level encryption for Protected Health Information (PHI). Asynchronous Tasks: Managed background processing services using Celery and Redis to handle bulk document processing and asynchronous AI text generation tasks. Environment: Python 3.11, FastAPI, Azure OpenAI, LangChain, PostgreSQL, MongoDB, Redis, Celery, JWT, OAuth 2.0, Docker, AWS S3, Git, Agile Scrum.

Python Developer

Project: Healthcare Data Ingestion & Integration Tool Data Pipelines: Developed modular Python ETL and data-cleaning scripts to ingest, validate, and normalize highly disparate data feeds from third-party networks, labs, and pharmacies. API Development: Extended an existing Django REST Framework (DRF) ecosystem, building database- backed endpoints for patient demographics, appointments, and laboratory results. Database Migrations: Maintained relational schemas in PostgreSQL, writing safe database migrations and constraints to seamlessly preserve historical patient timelines. Asynchronous Jobs: Managed asynchronous background processes utilizing Celery and Redis for scheduled data reconciliation and automated notification workflows. API Quality Assurance: Constructed end-to-end testing environments using PyTest and Postman to validate API payload schemas and ensure production readiness. Environment: Python, Django, Django REST Framework (DRF), PostgreSQL, Celery, Redis, PyTest, Postman, Swagger/OpenAPI, Linux, Git, Agile.

Software Developer (.NET & Automation)

Project: Demand & Inventory Management Applications (Client: Coach New York) Application Maintenance: Served as a core technical point of contact for enterprise retail applications, managing technical enhancements, bug resolution, and operational support. Full-Stack Engineering: Developed business logic layers using C#, ASP.NET MVC, LINQ to SQL, and built clean user interface components using Infragistics. Python Automation: Authored custom Python automation scripts to parse, validate, and process incoming daily inventory files, removing human error from the reporting cycle. Database Optimization: Developed and tuned complex SQL Server stored procedures and views to process business-critical inventory data efficiently. Environment: C#, ASP.NET MVC, .NET Framework, Python, SQL Server, LINQ to SQL, WCF, Infragistics, Git, Agile.

Production Support Engineer

Project: EuroTaxGlass’s Manufacturing Applications Database Tier Logic: Formulated complex stored procedures, triggers, and functions in SQL Server to embed business logic rules directly at the database layer. System Reliability: Provided technical support and bug fixes for business-critical applications hosted in the UK under strict ITIL service framework alignments.

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Software Engineer Perisoft Technologies June 2016 – June 2017 Project: Medicare Product Systems

Requirements & UI Development: Collaborated on generating System Requirement Specification (SRS) documentation and designed desktop user interface elements using Microsoft workflows. Data Validation: Executed backend database operations and validation routines using ADO.NET and SQL Server.

EDUCATION

Master of Computer Applications

Bachelor of Computer Science

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