Senior Full-Stack Python Engineer

Sr Python Full Stack Developer

Vempadi Lavanya Srinivas

Email: **********************@*****.*** PH: +1-551-***-****

LinkedIn: linkedin.com/in/lavanyavempadi

PROFESSIONAL SUMMARY:

Senior Python Full Stack Developer with 5+ years of experience designing, developing, and deploying scalable enterprise applications, cloud-native platforms, microservices, and distributed systems across healthcare, banking, insurance, and financial services. Strong expertise in Python, FastAPI, Django, Flask, ReactJS, REST APIs, AWS, Docker, PostgreSQL, MongoDB, Redis, Snowflake, DevOps, and CI/CD, with a focus on building secure, high-performance applications. Experienced in developing Generative AI solutions using LLMs, OpenAI APIs, LangChain, LangGraph, MCP, RAG, and GraphRAG for intelligent search, workflow automation, and AI-driven decision-making. Skilled in building AI agents, multi-agent workflows, retrieval systems, LLM evaluation frameworks, guardrails, Red Teaming, and OWASP LLM security practices while delivering secure, scalable, production-ready solutions and collaborating effectively with cross-functional teams and business stakeholders.

SKILLSET:

Programming Languages

Python, JavaScript, SQL, Java

Full Stack Development

FastAPI, Django, Flask, ReactJS, REST APIs, GraphQL, Microservices

Generative AI & Agentic AI

LLMs, OpenAI APIs, LangChain, LangGraph, MCP, Prompt Engineering

RAG & AI Security

RAG, GraphRAG, Embeddings, Vector Search, Semantic Search, AI Guardrails, OWASP LLM Security

LLM Evaluation & Testing

angSmith, Ragas, Hallucination Detection, Pytest, Postman, API Testing

Cloud & DevOps

AWS, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD

Databases

PostgreSQL, Snowflake, MongoDB, Redis, MySQL

Data Engineering

Pandas, PySpark, Apache Airflow, ETL/ELT Pipelines

Security & Monitoring

OAuth2, JWT, RBAC, Authentication, Authorization, Logging, Monitoring

Architecture & Methodologies

Cloud-Native Architecture, Distributed Systems, Event-Driven Architecture, Kafka, RabbitMQ, Agile/Scrum

PROFESSIONAL EXPERIENCE:

Client: BCBS Oct 2024 to Present Role: Sr. Python Full Stack Developer

Responsibilities:

Developed enterprise Generative AI applications using Python, FastAPI, ReactJS, LangChain, LangGraph, MCP, and AWS for intelligent search and workflow automation.

Built RAG and GraphRAG pipelines using embeddings, vector search, semantic retrieval, and knowledge graphs to deliver accurate enterprise knowledge discovery.

Developed AI agents and multi-agent workflows to automate document summarization, research assistance, data extraction, and business process workflows.

Designed scalable FastAPI microservices and REST APIs for AI orchestration, enterprise search, retrieval services, and workflow automation.

Integrated LLM solutions with enterprise APIs, databases, and internal platforms using MCP, REST APIs, OAuth2, JWT, and RBAC.

Performed AI security testing including prompt injection, jailbreak, adversarial testing, retrieval poisoning, and sensitive data leakage assessments.

Implemented AI guardrails, audit logging, content filtering, secure prompt handling, and OWASP LLM security practices for enterprise AI applications.

Developed LLM evaluation and API testing frameworks using LangSmith, Ragas, Pytest, Postman, and Swagger/OpenAPI for quality validation.

Created ReactJS dashboards for intelligent search, document analysis, conversational AI, analytics, and AI-powered workflow management.

Deployed cloud-native applications using AWS, Docker, Jenkins, and GitHub Actions with CI/CD pipelines, monitoring, troubleshooting, and production support.

Stack: Python, FastAPI, ReactJS, JavaScript, LangChain, LangGraph, MCP, OpenAI APIs, RAG, GraphRAG, AI Agents, PostgreSQL, AWS (EC2, Lambda, S3, API Gateway, RDS, IAM, CloudWatch), Docker, Jenkins, GitHub Actions, CI/CD, Pytest, Postman, REST APIs, OAuth2, JWT, RBAC, LangSmith, Ragas, AI Red Teaming, OWASP LLM Security.

Client: Lumen, CO Mar 2022 to Jun 2024

Role: Python Full Stack Developer

Responsibilities:

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Developed scalable web applications using Python, Django, Flask, FastAPI, ReactJS, JavaScript, and REST APIs to support enterprise business requirements.

Built reusable backend services and microservices, implementing business logic, API integrations, data processing, and application workflows.

Developed responsive ReactJS interfaces and integrated frontend components with Python-based APIs to deliver user-friendly business applications.

Designed and optimized PostgreSQL, MySQL, and MongoDB databases, developing queries, data models, and database operations for application performance.

Implemented authentication and authorization using OAuth2, JWT, and RBAC to secure application APIs and user access.

Developed unit, integration, and API testing solutions using Pytest, Postman, and Swagger/OpenAPI to improve application quality and reliability.

Utilized AWS services including EC2, S3, Lambda, RDS, and API Gateway to build and deploy scalable cloud-based applications.

Containerized applications using Docker and supported CI/CD pipelines through Jenkins and GitHub Actions for automated build, testing, and deployment processes.

Implemented logging, monitoring, exception handling, and troubleshooting practices to maintain application stability and production performance.

Collaborated with developers, QA engineers, business analysts, and stakeholders in Agile/Scrum environments to deliver enhancements, resolve issues, and support production releases.

Stack: Python, Django, Flask, FastAPI, ReactJS, JavaScript, HTML5, CSS3, REST APIs, Microservices, PostgreSQL, MySQL, MongoDB, SQL, Pandas, OAuth2, JWT, AWS (EC2, S3, Lambda, RDS, API Gateway, CloudWatch), Docker, Jenkins, GitHub Actions, Pytest, Postman, Git, CI/CD.

Client: Motivity Labs, India Nov 2020 to Jan 2022

Role: Python Developer

Responsibilities:

Developed Python-based REST APIs using Django and FastAPI to support insurance policy management, claims processing, underwriting, and customer service applications.

Built scalable backend microservices for premium calculations, risk assessment, claims validation, and insurance business rule processing.

Implemented secure API authentication and authorization using OAuth2, JWT, and RBAC for agents, customers, administrators, and internal applications.

Designed and optimized PostgreSQL databases, improving schemas, indexing, SQL queries, and database performance for large policy and claims datasets.

Developed data processing and workflow automation pipelines using PySpark and Apache Airflow for claims analysis, fraud detection, policy renewals, and regulatory reporting.

Deployed Python applications on AWS using EC2, S3, RDS, Lambda, and CloudWatch while implementing monitoring, logging, and application health tracking.

Implemented Redis caching and asynchronous Python processing to improve API response times, reduce database load, and support high-volume business transactions.

Containerized applications using Docker and configured Jenkins CI/CD pipelines with Git for automated testing, deployment, and release management.

Developed ReactJS dashboards integrated with Python REST APIs, providing operational visibility into claims, policy activity, underwriting decisions, and business metrics.

Provided production support, performance tuning, troubleshooting, and Agile/Scrum collaboration while working with business, actuarial, compliance, QA, and development teams.

Stack: Python, Django, FastAPI, REST APIs, ReactJS, PySpark, Apache Airflow, PostgreSQL, Redis, AWS (EC2, S3, RDS, Lambda, CloudWatch), Docker, Jenkins, Git, JWT, OAuth2, CI/CD, SQL, Microservices, Agile/Scrum.

EDUCATION:

Masters in Computer Science from University of Bridgeport, NJ.

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