// Experience
Career Experience
Software Development Engineer specializing in cloud architecture and AI/ML ingestion platforms for enterprise-scale systems.
// 01 · Work Experience
Work Experience
October 2024 – Present
Software Development Engineer
Amazon · Seattle, WA
- Spearheaded high-throughput ingestion services for Amazon Q Business, Kendra, and Quick Suite, processing 10k+ documents/day and enabling RAG + LLM integration across enterprise data.
- Architected large-scale index re-ingestion workflows for AI-powered document systems, eliminating manual operations and enabling zero-downtime updates as ML models evolved.
- Collaborated with cross-functional product and science teams to standardize ingestion for 10+ enterprise formats, improving cross-service compatibility and onboarding.
- Streamlined index ingestion by integrating validation and safe rollout mechanisms into CI/CD workflows for ML teams — 60% faster deployments.
RAGAWSCI/CDLLM Integration
April 2024 – October 2024
Cloud Engineer
People Tech Group · Seattle, WA
- Led customer demos to develop a GenAI-driven MLOps solution converting natural-language prompts into validated IaC deployments, reducing release timelines by 35%.
- Built an AWS-based consent-forms processing pipeline for HCA Healthcare using AI/ML to extract data from handwritten forms — 80%+ less manual data entry, turnaround from days to minutes.
- Implemented automated scaling policies from cloud-usage analysis, cutting infrastructure costs 15%.
- Designed traffic-splitting algorithms that cut microservice latency by 40ms for real-time AI inference.
GenAIIaCMLOpsAWS
// 02 · Education
Education
New Jersey Institute of Technology
MS, Cyber Security & Privacy
Koneru Lakshmaiah Education Foundation
B.Tech, Computer Science & Engineering
Indiana Wesleyan University
Graduate studies, AI & Machine Learning (in progress)
In Progress// 03 · Skills
Skills
Languages & Frameworks
Java (Spring Boot)PythonJavaScript/TypeScript (React, Node.js)PyTorchTensorFlow
Cloud & MLOps
AWSMLOps PipelinesCI/CDDockerKubernetesTerraformAmazon Bedrock
Core Competencies
Performance OptimizationModel Deployment & MonitoringRAG SystemsResponsible AIDistributed Systems
// 04 · Certifications
Certifications
AWS Certified Solutions Architect – Associate
AWS Certified Developer – Associate
CompTIA Security+
Certified Ethical Hacker (CEH) v12 — EC-Council
// Project Highlight
Drowsiness Detection AI
Real-time CNN pipeline (PyTorch) with automated model-reliability monitoring — achieving 95% accuracy in production with edge-case drift detection.