About me

I'm a software and infrastructure engineer building production-grade GenAI systems, secure APIs, cloud automation, observability pipelines, and applied AI products — across cloud environments and regulated financial infrastructure at American Express.

At Amex, I've shipped RAG/CAG systems now used by 60+ teams (41% lower retrieval latency, 28% higher throughput), standardized cloud-init across hybrid environments (~$90K/year saved), automated Vault/KMS key rotation, and led OpenTelemetry rollouts across 100+ servers. I write Java and Python daily, think in distributed systems, and build things that hold up in production.

Outside work: local LLMs, encrypted offline tools, assistive AI, and browser infrastructure. If you're building in similar spaces, let's connect.

My Expertise

  • AI icon

    AI Infrastructure & GenAI Systems

    RAG/CAG workflows, vector search, LLM integration, model-serving pipelines, and developer automation at production scale.

  • Cloud icon

    Cloud Automation & Reliability

    AWS/GCP/on-prem automation, cloud-init standardization, Terraform, OpenTelemetry, incident recovery, and production SRE.

  • Security icon

    Secure Platform Engineering

    Vault, KMS, IAM enforcement, key rotation, encrypted systems, MCP services, and secure-by-design engineering in regulated environments.

Resume

Education

  1. Arizona State University - Ira A. Fulton Schools of Engineering, GPA 4.00

    Master of Information Technology (Project Management), May 2024

    Relevant Coursework: Advanced Big Data, Data Visualization & Reporting for IT, Cloud Architecture, Information System Development, Advanced DBMS, Machine & Deep Learning and Computer Architecture.

  2. SRM Institute of Science and Technology, GPA 3.02

    Bachelor of Electronics and Communication Engineering, May 2021

    Relevant Coursework: Programming in C, Virtual Reality, VLSI Design, Advanced Calculus, Probability, Discrete Maths, Wireless Comm., Network Protocols, Cryptography and Network Security, Integrated Circuits.

Experience

  1. Software Developer II

    Dec 2024 — Present · Phoenix, AZ · (Amex w/ Eviden)

    Infra / SRE Automation
    • Cut provisioning effort 53% by standardizing cloud-init across environments, saving ~$90K.
    • Reduced DB node setup 65% via metadata bootstrapping, removing manual configuration overhead.
    • Improved incident recovery 34% using auto-remediation for cert rotation, pod restarts, and OOMs.
    • Strengthened security with automated KMS rotation, IAM enforcement, and Vault certificates.

    GenAI QA (RAG)
    • Automated user-story generation for 60+ teams using ADA RAG & CAG, saving $200K+ annually.
    • Increased retrieval throughput 28% and cut latency 41% via parallel indexing, async caching.

    Development
    • Reduced ingestion latency 36% with Spring Batch and Lambda, adding S3 validation pipelines.
    • Raised microservice uptime 37% using Dockerized inference and efficient multipart uploads.

  2. Software Developer III

    Sep 2024 — Dec 2024 · Phoenix, AZ · (Amex w/ Eviden)

    • Migrated legacy pipelines and integrated Splunk + OpenTelemetry, enabling Slack alerts for 100+ servers.
    • Automated encoding and maintenance, boosting uptime 28% and reducing downtime costs by 600k.
    • Revamped Scrum and Confluence workflows, improving cross-team engagement 39% across stakeholders.

  3. Data Team Lead

    Integrated Travel w/ Arizona State University · Jul 2024 — Aug 2024 · Tempe, AZ · Remote

    • Led Net-Zero analytics, enhanced transit models with SQL, Python, R for municipal KPIs.
    • Consolidated data via AWS ETL pipelines, improving accuracy 22% across disparate sources.
    • Designed cost-efficient data lake, cutting compute spend 15% through optimized allocation.

  4. Operations Analyst

    Aramark · Jan 2023 — May 2024 · Tempe, AZ · On-site

    • Streamlined monthly procurement reporting in SAP/Workday, cutting overhead tracking costs by 26%.
    • Optimized shift assignments via Teams, improving utilization 28% and reducing delays across operations.
    • Enhanced Salesforce data quality, increasing service ratings 31% through structured workflow implementations.

  5. Device Usability Researcher

    Adani Education (MCMIT) · Jan 2022 — Jul 2022

    MCMIT with Adani Edu., CG, India
    • Led Node.js IoT platform project, boosting user engagement by 25% through analytics and UX improvements.
    • Increased team efficiency and reduced delivery times by 30% through Agile practices.
    • Enhanced feedback mechanisms by 25% through GCP analytics for better participant engagement.

  6. Programmer Analyst

    Credit Suisse (Cognizant) · Jul 2021 — Dec 2021 · India · Hybrid

    • Refactored Kafka–Spark ETL, reducing latency 12% and boosting throughput for 7.3M+ events.
    • Expanded Azure Kubernetes capacity, improving scalability 18% and saving ~$110K from over-provisioning.
    • Automated patching and health checks, trimming monthly manual work from six hours to one.

  7. Intern: Product Analyst

    May 2019 — Jul 2019

    Hewlett Packard Enterprise, Singapore
    • Reduced deployment cycles by 17% with data analytics, addressing printer issues more efficiently.
    • Enhanced predictive analytics models, increasing customer experience tracking accuracy by 15%.
    • Implemented data pipelines with TensorFlow, PySpark, and Azure Databricks, boosting data-driven decision-making by 28%.

Certifications

  1. CompTIA Security+ 2024

  2. AWS Solutions Architect Associate 2024

  3. GCP Professional Machine Learning Engineer 2025

  4. Oracle Cloud Infrastructure 2023

  5. IBM Data Science Professional Certificate 2020

  6. Job simulations 2024: Accenture (Product Design), HPE (Software Engineering), J.P. Morgan (Software Engineering), BCG (Data Science)

Publications

  1. Machine Learning Advances Aiding Recognition and Classification of Indian Monuments and Landmarks

    IEEE Xplore · 2022

    Computer vision and ML classification system for Indian monument recognition and heritage documentation.

  2. Smart Robot Design for Terrain Traverse

    IEEE Xplore · 2021

    Autonomous robot system for adaptive terrain traversal and navigation.

Skills

Languages
Java Python SQL Bash TypeScript Rust Flutter
Cloud / Infra
AWS GCP Terraform Docker Kubernetes Kafka Spark Cassandra Postgres
AI / ML
PyTorch TensorRT / CUDA RAG / Vector DB LangChain Hugging Face pgvector MLflow Airflow Ollama / Local LLMs MCP
Observability / Security
OpenTelemetry Dynatrace Vault / KMS IAM Spring Boot Spring Security

Featured case studies

Selected systems

Outloud project cover
01

Outloud

AI Audiobook Generator

View on GitHub →

Filter projects across AI/ML, Cloud & Infra, Security, Healthcare AI, Data & Analytics, and Web & Tools.

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