// Experience
Career Experience
Software Development Engineer specializing in cloud architecture and AI/ML ingestion platforms for enterprise-scale systems.
// 01 · Work Experience
Work Experience
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.
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.
// 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
Cloud & MLOps
Core Competencies
// 04 · Certifications
Certifications
AWS Certified Solutions Architect – Associate
AWS Certified Developer – Associate
CompTIA Security+
Certified Ethical Hacker (CEH) v12 — EC-Council
// 05 · Project Highlights
Project Highlights
Recent work where the engineering and the ML are both mine, end to end — each one written up with the process, the trade-offs, and what it refuses to do.
The Applied AI Brief — A Published Industry Column
A published AI industry column with three issues live — plus the double-opt-in email platform behind it: Lambda, DynamoDB, and SES on a dedicated AWS account, deployed by OIDC with no stored credentials.
Haven — Anatomy of a Listening Machine
A fully local AI therapy companion — QLoRA fine-tuned Llama, a trained 28-emotion classifier, retrieval-grounded answers, and hands-free voice — every step of the ML lifecycle on an 8 GB laptop GPU. Interactive build log with demo video on its page.
The Climate of Machine Intelligence
Interactive AI/ML history timeline (1943–2025) charting booms, winters, and thaws — 40 milestones, era barometer, and a log-scale training-compute visualization.