Navid Heydari

About

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Technology leader with over a decade of experience designing and scaling cloud-native enterprise systems. Proven track record delivering secure, high-performance solutions across multiple industries, from initial architecture and design through implementation and optimization.

Strong background in machine learning and Responsible AI, with hands-on experience in data modeling, performance tuning, and intelligent automation. Known for bridging technical execution with business goals to improve efficiency, reduce costs, and deliver measurable results.

Core Competencies

Algorithmic Design & Scalability
Machine Learning & Responsible AI Solution
Cloud Architecture & Enterprise Microservice
Product Conception, Roadmap & Delivery
Data Modeling, Analysis & Performance Optimization
Complex Problem-Solving & System Enhancement

Technical Skills

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ML & AI

MLFlow(Databricks), Snowflakes, PySpark, R, PyTorch, Pytorch-Geometrics (GNN), Tensorflow, WEKA, MATLAB, RAG-based design, LLM-based, Vector database (Chroma), Time-series Analysis LSTM

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Languages

Java, Python, R, C/C++

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Cloud & DevOps

Cloud Foundry, K8s & Docker, AWS (ElasticSearch, Lambda, S3, CloudWatch), Jenkins, Prometheus, Terraform, CloudFormation, SNS

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Frameworks & Tools

Spring Boot, Maven, Bash, Hadoop, Redis, RabbitMQ, Kafka, Apigee, MongoDB, CouchDB, Grafana

Professional Experience

Senior Tech Lead

DocuSign, Seattle, WA • 2025 — Present

Designed and implemented a graph-based deep neural network with a high-performance data processing framework handling 25B+ records daily in under 20 minutes. Applied smart sampling to handle an imbalanced, noisy dataset and scaling to reduce data volume, cut compute costs, and enable flexible execution across single-instance and distributed architectures on CPU/GPU.

Designed customizable clustering with explainability baselines to ensure transparency and trust in model outputs, aligning with Responsible AI principles
Initiated and standardized on-call and incident-resolution processes
Pioneered an Agentic RAG architecture for responsible autonomous agents, enabling automated self-healing and support for impacted customer accounts

Senior Architect/AI Architect

T-Mobile, Bellevue, WA • 2017 — 2025

Designed and implemented various prediction models and ML tasks to satisfy the marketing team's requirements.

Designed and implemented a prediction model based on highly imbalanced customer secure data to provide tailored marketing campaigns, reduce costs by 4000x, and increase revenue with a higher lift score than vendor product suite
Designed ML pipeline and set of controls to onboard data scientists faster and deliver models to production safely and on time
Extracted insights on customer segments (churn cohorts) and generated self-explanatory reasons and attributes to clarify each triggering factor
Designed and implemented cloud-based back-end microservices for 99.99% availability and resiliency, decreasing launch configurations from 48 hours to less than an hour
Designed customized priority-based event ingestion architecture
Established and standardized SLA for microservices
Led and implemented security architecture and standards in cloud-based ecosystems

Software Engineer

CheckFree/Fiserv Inc., Alpharetta, GA • 2013 — 2016

Implemented large-scale, enterprise financial solutions and service layer applications. Designed and executed critical Disaster Recovery test scenarios, implemented PCI code security patches.

Developed a robust solution for processing and validating new MasterCard credit card numbers (2-series BIN)
Implemented performance tuning for internal processes (crunch 1 sec to 10 ms) for each credit card validation
Designed and executed disaster recovery processes and critical test scenarios, restoring 52K+ bill notifications within an hour
Designed complex set of customized external monitoring tools for different Billers, increasing processing speed of 100M+ records
Achieved Team Lead role for domestic-sold product suite, creating enhancement requirements, upgrading, patch development, and maintenance of nationwide financial software

Education & Publications

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Master of Science (MS)

Computer Science and Systems

University of Washington (GPA 3.8)

Research & Publications:

Enhancing Observability of Serverless Computing with the Serverless Application Analytics Framework (2021)
Characterizing X86 and ARM Serverless Performance Variation (2022)

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Bachelor of Science (BS)

Computer Science

Baha'i Institute of Higher Education (BIHE) - 2010

Research:

Exploring research profiling by analyzing techniques, building a knowledge tree, and mining research articles (NLP datasets) to identify emerging research trends