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JOYNISSY MADDURI

AI Engineer • Chicago, IL • j********@gmail.com • 346****546 • linkedin.com/•••••

Professional Summary

Results-driven AI Engineer with over 3 years of experience in building production-grade LLM infrastructure and AI-native developer platforms. Proficient in Python and AWS with a focus on deploying scalable AI systems and optimizing workflows.

Technical Skills

Languages: Python,Java,SQL,Angular,React
AI Systems & Frameworks: LangChain,OpenAI API,Anthropic Claude API,ML Observability
Cloud & DevOps: AWS (EC2, Lambda, S3, CloudWatch, Step Functions),Docker,GitHub Actions,CI/CD
Databases: MongoDB
MLOps & Infrastructure: Microservices,Model Serving,Deployment Validation,Production Monitoring
Emerging Technologies: Machine Learning,Deep Learning,Retrieval-Augmented Generation (RAG),Context Grounding
Core (Target Role): Pandas,Model Deployment,Statistics,MLOps,Feature Engineering,Cloud

Work Experience

Agentic Systems & LLM Infrastructure
Remote
AI Engineer
Dec 2025 – Jun 2026
Tech Stack: LangChain, OpenAI API, CloudWatch, Python, Docker
  • Built end-to-end AI-assisted developer workflows, reducing manual review times by 50%.
  • Architected multi-agent orchestration pipelines, improving collaboration speed by 40%.
  • Designed architectural guardrails, increasing code quality adherence by 35%.
  • Integrated APIs with structured outputs, enhancing system reliability and safety.
Bright Mind Enrichment
New York, NY
Software Engineer Consultant
Jul 2025 – Apr 2026
Tech Stack: AWS, Docker, CloudWatch, TypeScript, Python
  • Built CI/CD workflows in AWS, reducing deployment processing time by 35%.
  • Developed anomaly detection workflows, decreasing mean-time-to-debug by 40%.
  • Optimized real-time inference endpoints, achieving sub-100ms response times.
  • Delivered defined reusable architecture patterns for consistent deployment across teams.
Cognizant Technologies
Hyderabad, India
Software Developer
Jun 2021 – Sep 2023
Tech Stack: Java, SQL, AWS, Agile Methodologies, Microservices
  • Developed backend APIs, supporting workflows for over 1,000 users.
  • Led architecture refactoring initiatives, improving response efficiency by 25%.
  • Delivered strengthened production reliability, achieving 99.9% uptime.
  • Delivered collaborated cross-functionally, delivering scalable systems under tight deadlines.

Projects

GovSecure – Autonomous AI Governance Platform
Tools Used: LangChain, Docker, AWS, MLOps, AI Workflow Automation
  • Architected an AI platform that automated engineering workflows, saving 30% in deployment times.
  • Implemented AI-powered CI/CD integrated with real-time observability, enhancing deployment accuracy.
  • Established version-controlled artifacts, improving codebase reasoning and modularity.
Centralized Context Layer - RAG Pipeline
Tools Used: LangChain, AWS, Python, Semantic Search
  • Architected a centralized context layer improving retrieval relevance by 30%.
  • Designed templates enabling rapid iteration for retrieval and generation workflows.
  • Integrated API workflows for seamless developer experience and output generation.

Education

Illinois Institute of Technology
Master of Science in Computer Science • Chicago, USA • Aug 2023 – May 2025
Malla Reddy Engineering College for Women
Bachelor of Technology in Computer Science • Hyderabad, India • Aug 2019 – Jun 2023

Certifications

AWS Certified Solutions Architect (Associate) — Coursera • May 2022
Machine Learning Specialization — DeepLearning.AI • Aug 2022
Generative AI with Large Language Models — DeepLearning.AI • Jan 2023
AI Engineer Associate — Databricks • Dec 2022
Google Data Analytics Professional Certificate — Google • Mar 2023

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