Vetted Technical Documentation Professionals

Pre-screened and vetted.

MM

Junior Electrical Engineer specializing in power systems and industrial automation

Kingsville, TX2y exp
APA GroupTexas A&M University
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RP

Senior Workday Techno-Functional Consultant specializing in HCM, Financials, and Integrations

6y exp
EquifaxNew York Institute of Technology
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LJ

Senior Full-Stack Engineer specializing in compliance, integrations, and data platforms

Houston, TX10y exp
HexagonVirginia State University
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RC

Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

Houston, TX14y exp
FullStack LabsUniversity of Houston
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JB

Senior Software Engineer specializing in cloud-native backend and data platforms

Plano, TX7y exp
PricelineOhio State University
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TD

Senior Software Engineer specializing in healthcare and supply chain systems

Beaumont, TX11y exp
Cardinal HealthTexas Tech University
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KM

Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS

Brampton, Canada16y exp
Chordline
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EB

Senior Software Engineer specializing in backend, full-stack, and AI systems

New York, NY9y exp
Iris.ai
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AT

Senior Technical Support & Sales Enablement leader specializing in cloud security and enterprise infrastructure

San Jose, CA21y exp
Supermicro
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AM

Akash Mahtani

Screened ReferencesModerate rec.

Mid-level Electrical Engineer specializing in embedded wearables and semiconductor test

San Francisco, CA4y exp
AnoriaCentraleSupélec / Centrale Lille

Founding electronics engineer at Anoria who built the electronics, PCB, and firmware stack for a battery-powered BLE wearable during a YC batch, taking it from concept to EVT in under 90 days. He combines deep embedded/hardware judgment with fast iteration discipline, including MCU trade-off analysis, HDI board development, and sensor-data pipeline work across firmware and ML.

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DP

Daniel Parraga

Screened ReferencesModerate rec.

Director-level engineering leader specializing in platform architecture and cloud modernization

Kirkland, WA30y exp
Deep SyncEscuela Superior Politécnica del Litoral

Senior engineering leader with 8+ years of hands-on and people leadership experience across data-intensive enterprise platforms. He has led legacy-to-AWS modernization for mission-critical identity data workflows at Deep Sync, built and scaled teams rapidly, and previously helped create a 0-to-1 enterprise analytics platform at Kantar that later scaled to handle 10x more data with major performance gains.

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NC

Nicole Chase

Screened ReferencesModerate rec.

Senior Product Analyst and Product Owner specializing in data analytics and SaaS

Remote, USA12y exp
Prime TherapeuticsPortland State University

Technical Product Owner with a technical background who led a net-new invoicing and reconciliation product across business stakeholders, architecture, and dependent teams, shipping close to target despite unexpected issues. Also brings a distinctive mentoring profile from tutoring and teaching in data analytics bootcamps, including hands-on support for learners with very low technical literacy.

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KB

Kristin Blier

Screened ReferencesModerate rec.

Senior Geospatial Software Engineer specializing in 3D simulation environments

Gilbert, AZ19y exp
MVRsimulationArizona State University

Geospatial/simulation specialist who built and shipped high-fidelity 3D visual databases for a DoD-used simulation/render engine, owning the full pipeline from dataset selection and ingestion (imagery/LiDAR/OSM/elevation) through performance testing and delivery. Implemented Python-based AI scripts to auto-detect terrain features and drive automated 3D scene population, and has experience with authoritative client-server synchronization (DIS) plus VR headset performance constraints (Varjo/Oculus/HoloLens at 90Hz).

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AL

Alan Lam

Screened

Engineering Manager & Senior Full-Stack Engineer specializing in e-commerce platforms

San Francisco Bay Area, California12y exp
DecathlonUC Merced

Backend-focused JavaScript/Node.js engineer with e-commerce domain depth from Decathlon, working on foundational microservices for order management, inventory, and fulfillment integrations. Led an infrastructure redesign and shipped a Shopify-based persistent cart experience, diagnosing early production issues via monitoring/log analysis and improving reliability through stronger session persistence and fault-tolerant architecture.

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VV

Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps

OH, USA4y exp
Impacter AIUniversity of Dayton

Built an LLM-powered academic research assistant for a professor (LangChain + OpenAI + arXiv) focused on synthesizing papers quickly, with emphasis on reliability (ReAct prompting, citation verification) and cost control (caching). Has production MLOps/orchestration experience at Cisco and HCL Tech using Kubernetes, plus MLflow and GitHub Actions for lifecycle management and CI/CD.

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DT

Divya T

Screened

Mid-Level Software Engineer specializing in cloud microservices and data processing

4y exp
CitigroupNorthwest Missouri State University

Data-focused engineer who has built near real-time trending news sentiment pipelines end-to-end (API/web ingestion, validation, transformations, and dashboard serving) and implemented reliability patterns like retries with exponential backoff and backfills. Also shipped Java/Spring Boot REST APIs backed by SQL with indexing/pagination, and stood up an early-stage QR-based attendance MVP using Firebase with iterative hardening via logging and validation.

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AA

Agna Antony

Screened

Mid-level Data Engineer specializing in cloud-native healthcare and enterprise data platforms

Michigan, USA5y exp
MedStar HealthAPJ Abdul Kalam Technological University

Data Engineer (TCS) who owned an end-to-end CRM analytics pipeline for Bayer’s eSalesWeb integration, ingesting from Salesforce APIs/databases/S3 and serving analytics-ready datasets via PostgreSQL/S3 for Tableau. Drove measurable outcomes: ~60% reduction in manual data-quality effort, ~30% lower latency through SQL optimization, and ~35% improved stability via monitoring, retries, and idempotent processing.

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Robert Wheeler - Executive Technology Leader (CTO) specializing in cloud, AI/ML, and scalable product platforms in Manhattan, USA

Executive Technology Leader (CTO) specializing in cloud, AI/ML, and scalable product platforms

Manhattan, USA25y exp
Manhattan Healthcare ClinicUniversity of Maryland Global Campus

Technical leader and hands-on engineer with 20+ years of experience who has previously raised funding and exited a venture. Currently bootstrapping a new AI-direction startup with personal and family capital, leveraging structured financial planning and a relationship-driven approach to investor outreach.

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FM

Senior AI/ML Engineer specializing in healthcare AI and MLOps

Mansfield, TX16y exp
McKessonSam Houston State University

Healthcare AI engineer with hands-on ownership of production ML and LLM systems at McKesson, spanning clinical risk prediction and RAG-based documentation tools. Stands out for combining deep clinical-data experience, HIPAA-aware deployment practices, and measurable impact through reduced readmissions, clinician workflow gains, and 20% to 30% faster ML delivery for engineering teams.

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MN

Junior Full-Stack Software Engineer specializing in AI-powered developer tools

Andover, MA2y exp
DrägerBrandeis University

Automation-focused engineer with hands-on experience building production Python integrations, maintaining 60+ Jenkins pipelines across six product lines, and hardening CI systems in real-world environments. Most notably, they turned a tribal-knowledge Windows server maintenance process into a production workflow across nine servers, saving about 500 engineering hours annually.

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Harika M - Mid-level Full-Stack Developer specializing in FinTech and enterprise platforms in Plano, TX

Harika M

Screened

Mid-level Full-Stack Developer specializing in FinTech and enterprise platforms

Plano, TX6y exp
PennyMacUniversity of Central Missouri

Engineer with a pragmatic, production-focused approach to AI-assisted development, using tools like Copilot and ChatGPT to accelerate coding while maintaining strict validation for correctness, security, and performance. Particularly notable for building a multi-agent incident-resolution workflow for a financial platform, with specialized agents for log analysis, root cause identification, fix suggestions, and test generation.

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VU

Vijay Ulasa

Screened

Mid-level Java Full-Stack Developer specializing in FinTech

Dayton, OH4y exp
State StreetUniversity of Dayton

DevOps- and infrastructure-focused engineer who is already applying AI in practical delivery workflows, including Terraform, CI/CD, Kubernetes, and multi-agent automation. Stands out for combining AI-driven productivity with disciplined validation through testing, code review, and security checks, and for leading cross-functional AI integration across development, QA, and infrastructure.

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