RAVITEJA ANNAM
AI & Cloud Engineer
📧 ravitejas1596@gmail.com 📱 +1 (405) 402-9977 🌍 Charlotte, NC (Remote) 🔗 linkedin.com/in/ravitejas1596 💻 github.com/Ravitejas1596
PROFESSIONAL SUMMARY

AI & Cloud Engineer with 7+ years of progressive experience spanning cloud infrastructure, data engineering, and applied AI/ML solutions. Skilled at designing scalable AWS and Azure environments, building data pipelines, deploying ML models, and recently enhancing Generative AI systems in the U.S. banking sector. Passionate about bridging cloud, automation, and GenAI to deliver measurable business impact.

PROFESSIONAL EXPERIENCE
AI & Cloud Engineer
Sheffield Financial (Truist Bank)
January 2025 – Present (Remote)
  • Enhanced Truist Assist, the enterprise digital assistant, by integrating LLMs with existing NLP systems
  • Improved accuracy and contextual relevance of responses for banking queries
  • Architected RAG pipeline with LangChain + Pinecone for compliance documents
  • Designed secure data ingestion pipelines on AWS (S3, Lambda, API Gateway)
  • Achieved 18% improvement in first-response accuracy
Data Engineer
Razorpay / Razorpay Capital
April 2022 – July 2023
  • Designed data pipelines combining merchant payment history with bureau data
  • Deployed ML models (XGBoost, Scikit-learn) in SageMaker for creditworthiness prediction
  • Reduced Non-Performing Assets (NPAs) and improved portfolio health
  • Integrated scoring APIs into production, enhancing accuracy and decision speed
Data Engineer
Razorpay / Thirdwatch Merchants
March 2021 – March 2022
  • Built AWS Glue pipelines for transaction data ingestion into fraud detection ML workflows
  • Integrated SageMaker endpoints into APIs for real-time transaction scoring
  • Significantly reduced chargeback losses through improved fraud detection
  • Produced fraud detection reports for compliance and merchant partners
Cloud Engineer
Razorpay / Nappa Dori
January 2020 – February 2021
  • Provisioned APIs and Redshift pipelines to support Magic Checkout adoption
  • Implemented Terraform + GitHub Actions for blue-green deployments
  • Increased release reliability and reduced downtime
  • Delivered QuickSight dashboards highlighting conversion uplift
Cloud Support Engineer
Razorpay / Swiggy
February 2019 – December 2019
  • Provisioned AWS EC2 + RDS infrastructure for onboarding to Payment Pages
  • Tuned caching layers and autoscaling for 25% improvement in response times
  • Achieved performance gains during promotional peaks
  • Built operational dashboards to track payment success and performance
Cloud Support Engineer
MUV Technologies Ltd
June 2017 – January 2019
  • Supported migration of small-scale client applications to AWS EC2 and S3
  • Documented provisioning steps for production readiness
  • Automated repetitive maintenance tasks with Python/Bash scripts
  • Authored support guides and troubleshooting documentation
EDUCATION
Master of Science in Computer Science (AI/ML Specialization)
Oklahoma City University
August 2023 – May 2025 • GPA: 3.9/4.0

Coursework: Machine Learning, Deep Learning, Generative AI, Cloud Computing, Data Engineering, Distributed Systems, NLP

CERTIFICATIONS
TECHNICAL SKILLS

Cloud Platforms

  • AWS (EC2, S3, RDS, Redshift, SageMaker, Glue, Lambda, CloudWatch)
  • Azure (OpenAI Service, Functions)
  • Terraform
  • Docker

AI/ML & GenAI

  • Machine Learning
  • Deep Learning
  • Generative AI
  • LangChain
  • Pinecone

Data Engineering

  • ETL Pipelines
  • SQL
  • Apache Spark
  • QuickSight

Programming

  • Python
  • Bash/Scripting
  • FastAPI
  • Git
KEY ACHIEVEMENTS