Python Backend Engineer - Cloud-Native & AI/ML Systems

+1-940-***-**** • chethanapriyakunduru**@CHETHANAPRIYA gmail.com KUNDURU • linkedin.com/in/chethanapriya-kunduru Python Backend Engineer • Cloud-Native & AI/LLM Systems • AWS • FastAPI • Microservices CAREER SUMMARY

Results-driven Python Backend Engineer with 5+ years of experience building cloud-native backend systems and AI-integrated solutions on AWS. Specializes in FastAPI, Django, RESTful API architecture, and LLM integration including RAG pipelines, LangChain, and OpenAI API. Deep expertise in microservices, event-driven architectures with Apache Kafka, and containerized deployments via Docker and Kubernetes. Consistently delivers measurable impact: 30% reduction in API latency, 50% automation of manual workflows, and 40% improvement in data retrieval speeds. Thrives in Agile enterprise environments with a sharp focus on scalability, security, and CI/CD excellence. TECHNICAL SKILLS

Languages: Python 3.x, SQL, Bash/Shell Scripting, YAML LLM & AI: OpenAI API (GPT-4), LangChain, LlamaIndex, RAG Pipelines, Prompt Engineering, Hugging Face Transformers, Pinecone, Chroma

Frameworks: FastAPI, Django, Flask, Django REST Framework, Pydantic, Celery, Pytest, Selenium Cloud (AWS): EC2, S3, Lambda, RDS, EMR, SageMaker, API Gateway, IAM, CloudWatch DevOps / MLOps: Docker, Kubernetes (EKS), GitLab CI/CD, Jenkins, GitHub Actions, Terraform Data Engineering: Apache Kafka, PySpark, Spark SQL, Apache Airflow, ETL Pipelines, Pandas, NumPy Databases: PostgreSQL, MySQL, Oracle, Snowflake, Redis, MongoDB Security: OAuth2, JWT, RBAC, API Key Management, SAML 2.0 Other: REST APIs, Microservices, gRPC, OpenAPI/Swagger, Linux, Git, Agile/Scrum PROFESSIONAL EXPERIENCE

Wipro Limited · Python Developer Hyderabad, India June 2020 – May 2021 n Backend Development: Built Python-based backend modules using Django and Flask for internal enterprise tools across retail and supply chain domains.

n RESTful APIs: Developed and documented RESTful APIs using OpenAPI/Swagger, enabling smooth integration with third-party vendor systems.

n ETL Pipelines: Designed and maintained ETL pipelines for data ingestion and transformation, storing processed results in MySQL and PostgreSQL databases.

n Automation: Automated repetitive reporting and data validation workflows using Python scripts and Celery task queues, saving

~15 hours of manual effort per week.

n Testing: Wrote unit and integration tests using Pytest, improving code coverage from 58% to 80% and reducing post-release bugs.

n Collaboration: Worked in an Agile/Scrum team of 6, participating in sprint planning, daily standups, and retrospectives to deliver features on schedule.

Accenture · Senior Python Backend Engineer Remote, USA March 2024 – Present n FastAPI & Async APIs: Architected and deployed 12+ RESTful and async APIs using FastAPI and Pydantic, reducing average API response latency by ~30% via non-blocking I/O and query optimization. n LLM/RAG Integration: Integrated OpenAI GPT-4 and LangChain to build an internal RAG-based AI assistant enabling semantic search across 500K+ enterprise documents, cutting analyst research time by 40%. n LlamaIndex & Vector DB: Designed LLM-powered document processing pipelines using LlamaIndex and Pinecone for high-accuracy knowledge retrieval in financial and compliance workflows. n Security: Implemented OAuth2/JWT authentication and RBAC across all enterprise APIs, achieving zero security incidents post-launch.

n AWS Event-Driven: Built Lambda + S3 event-driven ingestion workflows, automating data processing and reducing manual effort by ~50%.

n PySpark & EMR: Developed PySpark pipelines on Amazon EMR processing 10M+ financial records daily for risk analytics and executive reporting.

n Snowflake & BI: Integrated Snowflake with downstream BI dashboards, reducing executive reporting lag by 60%. n Kubernetes & Uptime: Containerized all microservices with Docker and orchestrated on Kubernetes (EKS) with auto-scaling; maintained 99.9% uptime SLA across 15+ services.

n CI/CD: Established GitLab CI/CD pipelines with automated test gates, reducing deployment time by ~25% and rollback time by 70%.

n Leadership: Mentored 2 junior engineers and led bi-weekly code reviews, improving team code quality scores from 74% to 91% over 6 months.

Synopsys · Python Backend Developer Remote, USA November 2023 – June 2024 n Microservices: Built and maintained Django/DRF backend microservices handling 50K+ daily API requests across enterprise EDA platforms.

n AI Classification: Integrated Hugging Face transformer models into automated data classification pipelines, achieving 89% accuracy on document and design categorization.

n DB Optimization: Optimized 30+ complex MySQL queries with advanced indexing strategies, improving execution performance by ~20% and reducing database CPU load.

n Async Processing: Implemented Celery and Redis for asynchronous batch reporting, eliminating blocking operations in core request paths.

n CI/CD & Testing: Automated Jenkins CI/CD for zero-downtime deployments; authored Pytest test suites reducing post-release defects by 35%.

Avolan Technologies · Python Developer Hyderabad, India June 2021 – October 2023 n B2B SaaS Backend: Developed scalable backend modules using Python, Django, and Flask for enterprise clients across manufacturing and logistics sectors.

n RESTful APIs: Built OpenAPI/Swagger-compliant RESTful APIs, enabling seamless third-party integrations and reducing client onboarding time.

n ETL Pipelines: Designed XML/JSON data ingestion and transformation pipelines with robust error handling, storing results in PostgreSQL and Oracle databases.

n Kafka Streaming: Implemented Apache Kafka event streaming for real-time synchronization across 5 microservices, improving system consistency and throughput.

n DB Performance: Optimized SQL queries and database schemas, improving data retrieval performance by ~25% across core application modules.

n QA Automation: Automated regression and E2E testing with Selenium and Pytest, reducing manual QA effort by ~40% and accelerating release cycles.

KEY PROJECTS

AI-Powered Enterprise Knowledge Assistant (RAG System) n Engineered a production RAG pipeline using LangChain, LlamaIndex, and Pinecone enabling semantic search across 500K+ documents; reduced analyst lookup time by 40%.

n Integrated OpenAI GPT-4 with custom prompt engineering and context windowing, achieving 92% response relevance scores in user evaluations.

Distributed Data Processing Pipeline — AWS EMR + PySpark n Built a large-scale PySpark pipeline on Amazon EMR processing 10M+ financial records daily, enabling real-time risk analytics via Snowflake and BI dashboards.

n Designed fault-tolerant data ingestion using Kafka + S3 triggers and Lambda orchestration, reducing end-to-end processing latency by 35%.

Microservices API Platform — FastAPI + Kubernetes

n Architected 12 FastAPI microservices with async processing, OAuth2/JWT security, and Pydantic validation, deployed on Kubernetes (EKS) with 99.9% uptime SLA.

n Implemented GitLab CI/CD with automated Pytest gates, Docker scanning, and rolling deployments — cutting release cycle from 2 weeks to 3 days.

EDUCATION

Lindsey Wilson University — Master of Science in Technology Management Columbia, KY Aug 2024 – May 2026

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