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Vetted Technical Documentation Professionals

Pre-screened and vetted.

AF

Junior Engineering Technician specializing in product development, CAD, and robotics

Thorofare, NJ2y exp
TroemnerPenn State University
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JT

Senior QA Engineer specializing in game and interactive application testing

Austin, TX11y exp
AccentureUniversity of Antelope Valley
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RG

Rithiwik Garuda

Screened ReferencesStrong rec.

Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms

5y exp
InfosysUniversity of New Haven

Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.

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PR

Priyanka Ramesh

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Boston, MA2y exp
IpserLabNortheastern University

Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).

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VM

Vitor Miranda

Screened ReferencesStrong rec.

Senior Frontend Developer specializing in high-performance React applications

London, ON11y exp
ASICSFanshawe College

Frontend engineer who led end-to-end delivery of a Vite/React/GraphQL/MUI SPA with feature-based, layered architecture and strong quality gates (TypeScript strict, CI, testing, a11y). Built a large analytics dashboard using microfrontends and multiple state management approaches, including integrating with a legacy PHP host via window-object communication, and managed safe rollouts with LaunchDarkly plus Datadog usage/session-replay monitoring.

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PT

Preet Talati

Screened ReferencesStrong rec.

Junior Full-Stack Developer specializing in .NET Core and React

2y exp
Defense Language InstituteUniversity of Illinois Chicago

Full-stack engineer who has shipped end-to-end, customer-facing features in an education/student-population context, including an authorized incident-reporting workflow with RBAC and a PostgreSQL-backed data model. Has 0→1 React+TypeScript/Redux product experience (CTO at Jiffur) and hands-on production operations with CI/CD (Azure Pipelines/GitHub Actions), including resolving a real CPU-saturation outage via operational mitigation and scaling changes.

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KD

Krutik Dhameliya

Screened ReferencesStrong rec.

Senior Frontend Engineer specializing in Angular, React, and UI performance

Gandhinagar, India7y exp
CapgeminiAllana Institute of Management Science

Frontend engineer (Capgemini experience) who has led products end-to-end and improved existing codebases for scalability and performance. Built complex React + TypeScript dashboards with real-time, multi-API data and stabilized them via centralized data handling, strict typing/validation, and performance techniques like debouncing/memoization. Emphasizes practical standards, incremental refactoring, and tight collaboration with design/product and QA to ship reliably under deadlines.

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AS

Antonios Savvidis

Screened ReferencesStrong rec.

Senior XR Engineer specializing in Unity VR/AR simulations

13y exp
FreelanceInternational College of Business Studies

Unity developer from the Naer project who built a natural-feeling VR wrist-flick gesture mechanic for teleport/push/pull interactions, validated through telemetry, low-FPS simulation, and diverse user testing with modular ScriptableObject tuning. Also handled Photon PUN 2 networking bug fixes (mid-air item state issues) and RPC optimizations while integrating AI tools (Claude/Gemini/ChatGPT) into planning and implementation.

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NT

Nikhil Tatikonda

Screened ReferencesModerate rec.

Intern AI/ML Engineer specializing in LLM agents, RAG, and automation workflows

Buffalo, NY1y exp
ColaberryUniversity at Buffalo

AI automation builder who shipped an OpenAI-powered weekly "trending AI tools" WoW reporting system (65 categories) that reduced a 6–7 hour manual process to ~10 minutes at negligible API cost. Also building a RAG-based content creation prompt engine that turns PDFs into storyboards with fact-checking/traceback to source lines, plus experience with AWS deployment components (Lambda, ECR, App Runner, Bedrock, API Gateway) and GitHub Actions.

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AN

Abhishek Namdev Sawant

Screened ReferencesModerate rec.

Mid-Level Backend Software Engineer specializing in Java microservices and cloud platforms

Seattle, WA5y exp
Ecological Servants ProjectSeattle University

Backend/platform engineer with payments and insurance domain experience (Cognizant), owning high-volume production systems end-to-end. Shipped a Spring Boot payment tokenization service with strong observability and phased migration that cut transaction latency ~30% and improved payment efficiency ~25%. Also productionized an ML-driven financial health/risk analytics pipeline with near real-time dashboards across 70+ schools, emphasizing interpretability, data quality, and drift monitoring.

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IH

Isha Harne

Screened

Intern Software Engineer specializing in ML applications and LLM platform engineering

New York, NY1y exp
Binghamton UniversityBinghamton University

Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.

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CS

Colin Smith

Screened

Senior Unity XR Developer specializing in VR/AR training and healthcare XR

Galway City, Ireland11y exp
Pilot InstituteAtlantic Technological University

Unity gameplay engineer with hands-on experience building a dynamic third-person RPG camera system (context-aware transitions, collision handling, and state-driven behavior) to significantly improve game feel. Also has real-time multiplayer prototyping experience with Photon Fusion/Normcore/Unity Netcode, including prediction/rollback and custom authority handoff to prevent desync during fast interactions, and leverages AI tools (e.g., Copilot) for rapid iteration and documentation.

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RK

Senior Unity Developer specializing in mobile games, AR, and procedural generation

11y exp
Magic MediaLodz University of Technology

Unity gameplay engineer with hands-on experience building a procedurally generated world prototype (Roblox/Minecraft-like) using a data-oriented approach and Perlin noise for fast, believable generation. Also worked on a DOTS-based battle royale using Unity netcode, navigating client/host/server separation and complex entity state synchronization decisions.

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AK

Andrii Kasian

Screened

Senior Frontend Engineer specializing in React/TypeScript, architecture, and design systems

Remote11y exp
SysAidKharkiv National Automobile and Highway University

Frontend engineer/lead with deep React + TypeScript experience who has built complex workflow-style interfaces (node/connection editor with debugging panel) and used RxJS to manage intricate event/state flows. Strong focus on scalable architecture (SOLID, separation of concerns), performance at scale (caching, pagination, virtualization), and reliability (memory leak investigation and cleanup), backed by disciplined code review and documentation practices.

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AP

Andrew Park

Screened

Mid-Level Software Engineer specializing in QA automation and full-stack web development

Los Angeles, CA7y exp
OutlierCal Poly Pomona

Automation and customer-facing technical specialist with experience at QA Wolf and Kalmar, taking Playwright E2E testing from prototype scripts into CI-gated production pipelines (80%+ automated coverage). Also trained both software teams and industrial operations audiences (Fleet View for automated straddle carriers) and partnered with sales/customer teams to translate technical results (e.g., Siemens PLC updates, QA ROI) into adoption and faster closes.

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DS

Mid-level Full-Stack Engineer specializing in data automation, cloud & AI

Lowell, MA5y exp
University of Massachusetts LowellUniversity of Massachusetts Lowell

JavaScript engineer who effectively "maintains" an internal open-source-style React/Node.js shared library used by multiple teams—owning API stability, semantic versioning, CI/testing, logging, and documentation. Demonstrates strong cross-team debugging and change-management skills (schema-driven refactors, feature flags, validation layers) to ship new features without breaking existing workflows, plus a profiling/benchmarking-driven approach to performance.

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HS

Himani Soni

Screened

Mid-Level Frontend Engineer specializing in React and real-time dashboards

Mathura, India3y exp
TCSBSA College of Engineering & Technology

Frontend engineer focused on building and maintaining an internal React component library with strong emphasis on performance, accessibility, and developer experience. Has hands-on experience improving a slow network dashboard by refactoring heavy UI data processing to reduce re-renders, and supports users by reproducing issues, diagnosing bottlenecks, and clearly communicating fixes.

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SS

Junior Software Engineer specializing in backend systems and AI data pipelines

Remote, USA1y exp
Zorro AINortheastern University

Backend engineer with fintech/AI startup experience who built an Azure serverless, event-driven pipeline for large-scale crypto sentiment analysis and semantic search (OCR/NLP to vector search) and integrated LLM + blockchain data for predictive insights. Demonstrated measurable impact (25% lower retrieval latency, 10% fewer data errors, 15% higher engagement) and has led safe microservices migrations with strong security and reliability practices.

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MH

Senior Machine Learning & Computer Vision Researcher specializing in vision-language models

Morgantown, WV7y exp
West Virginia UniversityWest Virginia University

Developed and deployed CaptionFace, a production vision-language system that boosts low-resolution/surveillance face recognition by generating discriminative natural-language captions (ViT encoder + GPT-2 decoder) and enabling text-to-face retrieval and zero-shot recognition. Orchestrated distributed training on Kubernetes with MLflow tracking, mixed-precision optimization, and comprehensive evaluation including out-of-domain robustness; collaborated with non-technical NSF project stakeholders via demos, visualization, and clear documentation.

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TN

Tracy Nguyen

Screened

Mid-Level Software Engineer specializing in Front-End Web Development

Toronto, Canada3y exp
CapgeminiSeneca Polytechnic

Frontend engineer with React + TypeScript experience building internal dashboards and a nonprofit festival website delivered end-to-end in 6 weeks. Emphasizes scalable quality practices (documentation ownership, code reviews, CI/CD, testing) and user-centered delivery, including accessibility, multilingual support, and enabling non-technical stakeholders to update content.

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JG

Mid-Level Full-Stack Software Engineer specializing in Healthcare IT and FinTech

USA7y exp
UnitedHealth GroupCalifornia State University, Los Angeles

Engineer with experience in regulated healthcare and financial systems, including a United Health healthcare service migration to AWS. Built documentation-as-code for CI/CD (Jenkins/Docker/Kubernetes/Terraform + GitHub Actions) that accelerated release cycles from 3 weeks to 4 days and tied security configuration (Spring Security/OAuth2/JWT) directly to HIPAA/GDPR compliance. Strong in observability-led incident response (ELK/Prometheus/Grafana) and performance tuning (PostgreSQL, async processing), citing MTTR reduction from 3 hours to 50 minutes and support for 250K+ concurrent users.

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