Python Full Stack Developer & Microservices

Anjali keriveda

Python Full Stack Developer

Sterling Heights, MI +1-586-***-**** *******@*********.*** LinkedIn Professional Summary

Python Full Stack Developer with 4+ years of experience designing and delivering scalable microservices and distributed systems with Django, FastAPI, and React.js. Skilled in building high-performance REST/GraphQL APIs, optimizing databases, and deploying cloud-native solutions on AWS with Docker, Kubernetes, and CI/CD. Strong in system reliability and performance through asynchronous processing and caching, with hands-on experience integrating AI/LLM capabilities (RAG, OpenAI APIs) into data-driven applications. Technical Skills

Programming Languages: Python, JavaScript, TypeScript, SQL, Go Backend: Django, FastAPI, Flask, Pydantic v2, SQLAlchemy 2.0 (async), Celery; REST APIs, GraphQL, gRPC, WebSockets, microservices, event-driven & distributed systems

Frontend: React.js, Next.js (App Router / Server Components), TypeScript, Redux, Zustand, TanStack Query, Tailwind CSS, shadcn/ui, Vite Cloud & DevOps: AWS (EC2, ECS, S3, Lambda, API Gateway), Docker, Kubernetes, Helm, Terraform, GitHub Actions, ArgoCD, Nginx, CI/CD

Databases & Streaming: PostgreSQL (pgvector), MongoDB, MySQL, Redis, Elasticsearch; Apache Kafka, RabbitMQ AI / LLM & Agentic: OpenAI APIs, LangChain, LangGraph, LlamaIndex, RAG, agentic workflows, Model Context Protocol (MCP), function calling, prompt engineering, vector databases (FAISS, Pinecone, pgvector), LangSmith Testing, Observability & System Design: PyTest, Selenium, Postman, Swagger/OpenAPI, Ruff, mypy, Prometheus, Grafana, OpenTelemetry, Datadog, high availability, fault tolerance, load balancing, caching, rate limiting Professional Experience

State Street Boston, United States Aug 2024 - Present Python Full Stack Developer

Engineered a microservices architecture processing 200K+ daily financial transactions for 5K+ concurrent users, increasing scalability by 30% through modular design and distributed-computing principles.

Developed RESTful APIs in Django and FastAPI (Pydantic v2 validation) handling 100K+ daily requests, reducing latency by 30% through asynchronous processing, Redis caching, and query optimization that cut database load.

Integrated AI/LLM capabilities into financial applications using OpenAI APIs, LangChain, and RAG over a pgvector store, applying function calling and streaming responses to enable data retrieval and automated insights.

Built a real-time monitoring dashboard in React/Next.js with WebSocket live data streaming and interactive visualizations, improving system visibility and reducing incident resolution time by 25%.

Architected and automated CI/CD pipelines with GitHub Actions, increasing deployment frequency by 40% and reducing failures by 25% through streamlined build, test, and deployment workflows.

Designed fault-tolerant systems with retry mechanisms and circuit breakers, sustaining reliability under peak load through resilient architecture patterns and proactive failure handling.

Led analytics pipeline enhancements and mentored junior developers, improving reporting accuracy by 20% and increasing team productivity by 15% through best practices and knowledge sharing. KPIT Technologies Pune, India May 2020 - Apr 2023 Python Software Engineer

Built FastAPI microservices handling 50K+ daily requests with asynchronous processing and Redis caching, reducing downtime by 20% and boosting response efficiency by 30%.

Optimized PostgreSQL queries on multi-million-record datasets, cutting query execution time by 25% through indexing, query tuning, and efficient database design.

Engineered automated testing pipelines with PyTest, raising test coverage to 80%+ and strengthening release stability through continuous integration.

Instituted a Kafka-based event-driven architecture, enabling scalable asynchronous workflows and improving system throughput through decoupled services and real-time streaming.

Deployed observability with Prometheus, Grafana, OpenTelemetry tracing, centralized logging, and alerting to detect bottlenecks, collaborating cross-functionally to improve delivery timelines by 15%. Education

Master Of Science In Computer Science Robert Morris University Moon Township, PA Dec 2024 Certifications

AWS Certified Developer – Associate

Microsoft Certified: Azure Developer Associate

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