Vetted Technical Documentation Professionals

Pre-screened and vetted.

BT

Mid-level Software Engineer specializing in AI, data engineering, and cloud systems

San Francisco Bay Area, CA3y exp
SalesforceUniversity at Buffalo
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XY

Mid-Level Software Engineer specializing in AI systems and full-stack development

Atlanta, GA3y exp
Joblogic-XUniversity of Texas at Austin
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PI

Senior Technical Support Engineer specializing in cloud and container security

Durham, NC6y exp
Fortune 100 Financial ServicesCalifornia State University, Fullerton
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KG

Senior Software Engineer specializing in backend systems and data engineering

Remote, USA10y exp
General Dynamics Information TechnologyUniversity of Texas at Austin
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SC

Senior Software Engineer specializing in backend systems and FinTech screening platforms

Brooklyn, NY10y exp
AccentureLong Island University
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JP

Senior Backend Engineer specializing in FinTech compliance systems

Kyle, TX10y exp
Leader BankTexas Tech University
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GH

Senior Full-Stack Engineer specializing in secure web applications

9y exp
PayPal
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YL

Yu-Chun Lin

Screened

Intern Software Engineer specializing in C++/Python systems and automation

Fremont, California1y exp
CoherentUC Irvine

Software engineer with experience delivering customer-facing solutions across consulting and engineering contexts (Deloitte, Coherent), including a finance reconciliation system and a firmware validation tool integrated into existing test infrastructure. Demonstrates strong on-site/customer collaboration, rapid iteration, and high-pressure debugging (CARLA demo fix), with measurable impact and a focus on adoption through familiar workflows and clear documentation.

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AD

IT Executive and Head of IT specializing in cybersecurity, cloud, and global IT operations

New York, NY16y exp
RedCove Consulting LLCSyracuse University

Bootstrapped founder of a 1-year-old IT consulting/technology advisory firm with two active contract clients. Focuses on integrating business strategy with technology direction for organizations, growing through networking and targeted marketing (e.g., LinkedIn/Indeed) while maintaining a financially disciplined, client-first growth approach.

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Darshan Patel - Mid-level Data Engineer specializing in financial and trading data in Sydney, Australia

Darshan Patel

Screened

Mid-level Data Engineer specializing in financial and trading data

Sydney, Australia4y exp
Australian Securities ExchangeUNSW Sydney

Quant Data Engineer at ASX who is also building FinishKit, a full-stack SaaS that scans AI-generated codebases for bugs and production-readiness issues. Combines React/TypeScript, Supabase/serverless, Fly.io, and Postgres with strong product instincts, rapid iteration, and prior experience building secure multi-tenant data and dashboard systems across enterprise teams.

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HL

Haolin Li

Screened

Entry-level Data Analyst specializing in marketing analytics and business intelligence

Los Angeles, CA1y exp
Helios & PartnersUSC

CRM/lifecycle marketer with hands-on ownership of high-volume, multi-channel programs across email, SMS, and push, including Braze journey design, QA, deployment, and post-campaign analysis. Stands out for combining strong campaign operations with incrementality measurement and experimentation, including a 20% conversion improvement from journey optimization and 12% incremental revenue lift identified through holdout-based analysis.

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CL

Charlene Lu

Screened

Mid-level marketing communications specialist specializing in tech and brand strategy

Taipei, Taiwan5y exp
ShuttleUCLA

B2B marketer with experience owning go-to-market strategy for an AI PC line at a global computer manufacturer, where they partnered closely with product and sales teams to turn technical features into region-specific messaging and drove 7% monthly revenue growth. Also brings hands-on experience in distributor targeting, trade show promotion, and B2B event email marketing with A/B-tested messaging.

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Javon Lee - Senior Software Engineer specializing in AI platforms and cloud-native systems in Baltimore, MD

Javon Lee

Screened

Senior Software Engineer specializing in AI platforms and cloud-native systems

Baltimore, MD8y exp
ClarityNorth Carolina A&T State University

Engineer with startup CTO experience and recent hands-on full-stack work at Microsoft and Clarity, focused on compliance and AML workflow platforms for financial services. Stands out for building scalable data and audit systems that reduced manual processing and improved performance, while operating effectively in ambiguous early-stage environments.

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Aakash Khepar - Mid-level Full-Stack AI Engineer specializing in agentic AI systems in Tempe, AZ

Aakash Khepar

Screened

Mid-level Full-Stack AI Engineer specializing in agentic AI systems

Tempe, AZ4y exp
Arizona State UniversityArizona State University

AI/full-stack builder with hands-on experience shipping healthcare, career-tech, nonprofit, and fintech products, spanning speech AI, browser extensions, agentic RAG systems, and enterprise ML monitoring. Stands out for combining strong technical depth with measurable outcomes, including reducing clinical call WER from 26% to 3%, building safe tool-using agents with rollback/RBAC, and delivering zero-to-one multi-tenant platform features in ambiguous environments.

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MS

Mid-level Data Scientist / Machine Learning Engineer specializing in fraud, risk, and MLOps

Remote, MO7y exp
Northern TrustWebster University

AI/ML practitioner with Northern Trust experience who has shipped production LLM systems (internal support assistant) using RAG, vector databases, orchestration (LangChain/custom pipelines), and rigorous monitoring/feedback loops. Also built AI-driven fraud detection/risk monitoring solutions in a regulated financial environment, emphasizing explainability (SHAP), audit readiness, and stakeholder trust through dashboards and clear communication.

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VR

Vaman Rao

Screened

Mid-level Full-Stack Java Developer specializing in microservices and cloud-native web apps

NJ, USA5y exp
UberConcordia University Wisconsin

Backend engineer focused on Python/FastAPI microservices, with hands-on experience deploying to AWS (EKS/ECR) via Jenkins and GitOps-style workflows using ArgoCD. Has built and stabilized real-time Kafka payment-event streaming pipelines and improved production performance under peak load through Redis caching, SQL optimization, and robust retry/DLQ patterns. Also supported phased migrations from on-prem environments to AWS with gradual traffic shifting and monitoring.

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AA

Ankur Avlani

Screened

Engineering Manager specializing in secure cloud platforms and key management

Oakland, CA15y exp
Credit KarmaManipal Academy of Higher Education

Engineering leader (Credit Karma/fintech) who built internal developer-platform frameworks at near open-source scale, including a unified key management system migrating ~450 services from on-prem HSM to a centralized KMS. Known for driving large cross-team migrations with strong safety mechanisms (canaries, shadow reads, rollback toggles) and measurable DX/ops improvements (60% fewer provisioning requests; 40% faster time-to-first-secret).

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MD

Maitri Dodiya

Screened

Mid-level Software Engineer specializing in scalable real-time data systems

USA4y exp
FanaticsArizona State University

Backend/platform engineer from Fanatics sportsbook core team with deep experience in real-time ingestion systems (Kafka) and high-throughput performance optimization. Delivered an 87% latency reduction on a Java API handling hundreds of thousands of updates per second, and improved reliability of shared internal libraries via deterministic recovery logic, strong testing, and feature-flagged rollouts.

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Maranatha Ilesanmi - Senior Frontend Engineer specializing in React and TypeScript in Kitchener, Canada

Senior Frontend Engineer specializing in React and TypeScript

Kitchener, Canada11y exp
CartaObafemi Awolowo University

Frontend engineer with deep experience modernizing KYC flows at Carta, including rebuilding country-specific KYC forms into a scalable configuration + validation-schema system that cut new-jurisdiction support from 2–3 months to ~2 weeks. Strong on quality and rollout practices (E2E/backend testing, early QA engagement, staged/A-B rollouts) and performance optimization for heavy React/TypeScript dashboards using Intersection Observers for lazy loading.

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John Hoffman - Senior Data Engineer specializing in Databricks, Spark, and AWS for government healthcare data systems in Windsor Mill, MD

John Hoffman

Screened

Senior Data Engineer specializing in Databricks, Spark, and AWS for government healthcare data systems

Windsor Mill, MD12y exp
GDITUniversity of Virginia

Python/AWS engineer focused on batch-processing and data workflows, including building reusable S3/boto3 utilities with reliability features and IAM-based auth. Has led low-risk legacy modernizations using parity testing plus a month of parallel production runs, and has owned production issues end-to-end (including fixing a client-side Excel macro) while contributing to significant AWS cost reductions (~$10k/month).

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Karel Chabera - Senior Technical Game Designer specializing in gameplay systems and pipelines in Orlando, FL

Karel Chabera

Screened

Senior Technical Game Designer specializing in gameplay systems and pipelines

Orlando, FL9y exp
Electronic ArtsAcademy of Interactive Entertainment

Modes/progression designer on EA College Football (Dynasty and Road to Glory) who has owned multiple shipped progression systems, including recruiting and Road to Glory progression (meters, in-game reward triggers, and a "coach trust" meta-progression). Focused on modular system design and tuning/balancing for player-facing challenges and rewards, with strong QA-driven iteration and Blueprint-based prototyping practices.

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Supreetha Kashyap - Mid-Level Software Engineer & Data Analyst specializing in cloud analytics and BI in Jacksonville, FL

Mid-Level Software Engineer & Data Analyst specializing in cloud analytics and BI

Jacksonville, FL4y exp
Johnson & JohnsonUniversity of Texas at Arlington

Built and owned an end-to-end Seat Allocation & Management System at Accenture, replacing a legacy process with a scalable web app used across teams. Deep focus on reliability under concurrency (transactions + unique constraints + idempotent APIs) and on Postgres performance tuning (composite indexes, EXPLAIN ANALYZE), plus post-launch production support and monitoring.

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TS

Mid-Level Full-Stack .NET Developer specializing in cloud microservices and data pipelines

6y exp
Elevance HealthMissouri State University

Backend/data engineer with experience at Citi and Elevance Health, building end-to-end pipelines and data services in regulated, high-volume environments. They combine Python, SQL, .NET, Azure Functions, and strong observability/reliability patterns to improve processing speed, reduce manual effort, and maintain high uptime across financial and healthcare data platforms.

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