Vetted Selenium Professionals

Pre-screened and vetted.

HK

Mid-Level Full-Stack .NET Developer specializing in cloud-native microservices and AI integration

Orlando, FL4y exp
State of FloridaFlorida International University

Software engineer with hands-on experience building and maintaining a React accessibility utility/component library (open-source-style) used across university portals, emphasizing WCAG 2.2 compliance, robust focus/keyboard behavior, and Jest/React Testing Library coverage. Also built and maintained .NET Core microservices at the Florida Department of Transportation, including integrating AI-driven features, with strong ownership around observability, incident response, and performance-focused refactoring.

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RP

Rupesh Pathak

Screened

Junior Data Scientist and Robotics Perception Engineer specializing in GenAI and autonomous systems

Boston, MA2y exp
VERIDIX AINortheastern University

Robotics software architect who built an automated pick-and-place palletizing prototype at BLACK-I-ROBOTICS, spanning perception (multi-RealSense fusion, segmentation, 6D pose, ICP), GPU-accelerated motion planning (MoveIt 2 + NVIDIA CuRobo), grasp generation, and safety (human detection + safe mode). Also brings cloud/CI/CD depth from VERIDIX AI (AWS Cognito/Lambda/ECS and CodePipeline stack) and demonstrated strong debugging chops by reducing outdoor rover EKF drift to ~5 cm via Allan variance-based IMU tuning.

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AR

Senior Full-Stack Software Engineer specializing in web platforms and FinTech systems

Fairburn, GA17y exp
InsurepayUniversity of Canberra

Full-stack engineer with ~20 years of experience (including 5–6 years in consultancy) who has shipped and operated production systems across a wide range of stacks. Recently owned an end-to-end receipts feature integrating Stripe, generating PDFs, and sending HTML emails, deployed via GitHub Flow to AWS ECS; handled real-world performance issues (oversized merchant images) with compression and server tuning.

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SK

Mid-level Full-Stack Developer specializing in Java, Spring Boot, and cloud-native web apps

Menasha, WI5y exp
Network HealthConcordia University

Full-stack engineer with strong React/TypeScript and Java Spring Boot microservices experience who has built end-to-end task management and real-time, data-intensive dashboards. Demonstrates practical depth in security (JWT, RBAC, token refresh), performance optimization (indexing/aggregations, virtualization, caching), and cloud deployment (AWS, Docker, Jenkins, Kubernetes).

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AM

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices

Sanford, FL4y exp
HCLTechUniversity of Massachusetts Lowell

Backend engineer with cloud-native Python/Flask experience building high-throughput financial platforms (loan origination intelligent document processing and real-time fraud detection). Has scaled microservices on AKS with event-driven Azure messaging, delivered measurable performance gains (e.g., 700ms→180ms query latency; ~40% API improvements), and implemented strong security controls (OAuth2/JWT, Azure AD RBAC, audit logging, AES-256/TLS) for sensitive regulated data.

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AP

Senior QA Automation Engineer specializing in test automation and CI/CD quality gates

Toronto, ON7y exp
Auto TraderSardar Vallabhbhai Institute of Technology

QA automation engineer focused on end-to-end quality for a CMS lien registration workflow, owning a Playwright-based regression suite covering high-risk paths (creation, amendments, cancellation, batch file validation). Demonstrated impact by catching a UI change that bypassed required-field validation pre-release, stabilizing flaky CI tests using network-response signals, and driving clearer acceptance criteria and observability improvements (request IDs in logs) through cross-functional collaboration.

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HS

Hardi Shah

Screened

Junior Software Engineer specializing in distributed systems, DevOps, and observability

Boston, MA2y exp
Pacific Northwest National LaboratoryNortheastern University

Built and launched a verified listings system for Burrow (student subleasing) after interviewing ~50 students about scam/fake listing concerns; chose a lightweight .edu-based verification approach to ship fast and then iterated with badges and clearer details, reducing churn from 15% to 7%. Also ran an LLM A/B test for auto-generating listing descriptions and improved trust/accuracy by updating prompts to prevent hallucinated details.

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VV

Varun Vekaria

Screened

Junior Full-Stack Software Developer specializing in AI-powered web and health applications

New Brunswick, NJ2y exp
Rutgers University – BMIHAIRutgers University

Built and launched “Language AI,” a Next.js/TypeScript app that clones a user’s voice (via ElevenLabs) to deliver language lessons in their own voice, using Supabase for auth/Postgres/storage and hosting backend on Render. Post-launch, identified ElevenLabs voice-clone limits after initial users and reworked the pipeline to store audio assets and delete clones to support more concurrent users; also added Google auth to improve adoption. Previously worked in a high-growth startup environment (Study Park) taking concepts from ideation to production.

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Vidit Naik - Junior AI/ML & Full-Stack Engineer specializing in LLMs and RAG systems in San Francisco, CA

Vidit Naik

Screened

Junior AI/ML & Full-Stack Engineer specializing in LLMs and RAG systems

San Francisco, CA2y exp
Checksum AIUC Riverside

Forward-deployed engineer who built a production AI drone-control chatbot that lets users fly a drone via natural language while viewing a real-time feed. Implemented RAG over drone SDK documentation (vector DB + top-k retrieval) and LoRA fine-tuning, with a focus on latency, token efficiency, and cost reduction, and regularly works with non-technical clients to integrate and explain AI system architecture.

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Filmon Tesfay - Senior Full-Stack Developer specializing in cloud-native FinTech and AI platforms in New York, NY

Filmon Tesfay

Screened

Senior Full-Stack Developer specializing in cloud-native FinTech and AI platforms

New York, NY8y exp
Wells FargoMaharishi International University

Full-stack engineer with strong production ownership: built and operated a real-time transaction monitoring/fraud-alerting system using Java Spring Boot, Kafka, Docker, and AWS with CI/CD. Demonstrates metrics-driven operations (latency, stability, consumer lag, true/false positives) and reliability patterns for integrations (idempotency, retries/backoff, DLQs, reconciliation/backfills), plus modern React/TypeScript + Node/Postgres architecture experience.

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Nicholas Huang - Mid-level Full-Stack Developer specializing in FinTech web applications in Cincinnati, OH

Mid-level Full-Stack Developer specializing in FinTech web applications

Cincinnati, OH6y exp
U.S. BankUC Riverside

Front-end engineer experienced modernizing legacy React/TypeScript applications, including building a highly customized navigation system controlled by feature flags and documenting it for cross-team adoption. Demonstrates strong performance optimization skills (profiling, provider refactors, memoization) and deep debugging ability, including resolving UI jank traced to Reach Router’s accessibility-driven focus behavior.

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Chandana Arikacherla Nagendran - Mid-level Full-Stack Developer specializing in Java, Spring Boot, and Angular in Columbus, Ohio

Mid-level Full-Stack Developer specializing in Java, Spring Boot, and Angular

Columbus, Ohio4y exp
Ohio Industrial CommissionFranklin University

Full-stack engineer who modernized mission-critical legacy COBOL/AS400 systems into a Java + Angular/TypeScript web application, owning backend APIs, UI, database performance tuning, and JWT security end-to-end. Built and transitioned an internal docketing/hearing scheduling system with complex business rules, emphasizing smooth adoption, performance, and quality through phased agile delivery.

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Utkarsh Aman - Senior Frontend Engineer specializing in scalable consumer apps and micro frontends in San Francisco, California

Utkarsh Aman

Screened

Senior Frontend Engineer specializing in scalable consumer apps and micro frontends

San Francisco, California7y exp
Invisible AIConestoga College

Frontend engineer focused on React/TypeScript dashboards for manufacturing-cycle analytics (downtime/wait time/cycle time). Has hands-on experience building reusable charting components (JSON-to-graph) with React ECharts, scaling data flows with Redux/RTK Query, and refactoring monolithic UI code into modular components while shipping on a ~3-week release cadence.

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Tyler Stroud - Executive Engineering Leader specializing in AdTech and scalable cloud platforms in Miami, FL

Tyler Stroud

Screened

Executive Engineering Leader specializing in AdTech and scalable cloud platforms

Miami, FL15y exp
OTTO Quotes AINorth Greenville University

Engineering leader with experience in small, bootstrapped startups and exposure to VC environments, currently pursuing CTO-level opportunities. Thrives in fast-iterating, high-uncertainty settings and emphasizes data-driven clarity plus strong problem/market validation when evaluating new ventures.

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Erico Rahmad Darmanto - Mid-level QA Engineer specializing in test automation and cybersecurity testing in Yogyakarta, Indonesia

Mid-level QA Engineer specializing in test automation and cybersecurity testing

Yogyakarta, Indonesia5y exp
InixindoInstitute Teknologi dan Bisnis STIKOM Bali

Early-career QA tester (no professional game studio experience yet) demonstrating a structured, systems-oriented approach to testing complex state logic. Has hands-on experience using Jira and TestRail and provides detailed defect reports (timing conditions, unstable network scenarios, logs/video) that help engineering diagnose async state-validation issues and verify fixes via regression.

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Sivapriya Rachakonda - Mid-Level Software Engineer specializing in cloud-native microservices on AWS and Kubernetes in Remote, USA

Mid-Level Software Engineer specializing in cloud-native microservices on AWS and Kubernetes

Remote, USA5y exp
OptumUniversity of South Dakota

Backend engineer who built a stateless Python/Flask service supporting a healthcare-document ETL pipeline, offloading heavy processing to Celery workers and adding strong observability (metrics, structured logs, audits). Demonstrates practical performance/reliability work: batch chunking, priority queues, autoscaling by queue depth/CPU, DLQ routing, and PostgreSQL tuning (indexes, pagination) to cut slow API responses. Also has experience deploying real-time ML classification via TensorFlow Serving behind a FastAPI wrapper and integrating models via REST/gRPC.

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Ashutosh Meena - Junior Embedded Software Engineer specializing in IoT and microcontrollers in Chicago, IL

Junior Embedded Software Engineer specializing in IoT and microcontrollers

Chicago, IL2y exp
Tech BSRIllinois Institute of Technology

Embedded/software engineer with hands-on Raspberry Pi work building a WhatsApp-controlled camera/servo system using TCP/IP plus Selenium automation of WhatsApp Web. Brings production DevOps experience from Infosys (Docker/Kubernetes, CI/CD, microservices, Kafka) and a methodical hardware/software debugging workflow using lab tools like oscilloscopes and multimeters.

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Rahul Solleti - Mid-Level Software Engineer specializing in cloud-native microservices and full-stack web apps in United States

Rahul Solleti

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and full-stack web apps

United States5y exp
Dell TechnologiesUniversity of Central Missouri

Backend/platform engineer focused on real-time financial fraud detection and transaction monitoring, building low-latency FastAPI + Kafka systems with strong reliability patterns (DLQs, idempotency) and cloud observability. Has hands-on Kubernetes delivery across AWS EKS and Azure AKS with automated CI/CD and GitOps-style deployments, plus experience migrating legacy C# / Java monoliths to containerized microservices using Terraform/ARM and zero-downtime rollout strategies.

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JA

Mid-level Full-Stack AI Engineer specializing in agentic systems and security-hardened pipelines

USA3y exp
Adsgency AIUniversity of Colorado Boulder

Founding/early engineer experience across Asante and a Series A startup (Adgency), shifting from data science/ML into owning production full-stack systems end-to-end. Built core product flows (registration, business profiles, map service), AWS-deployed gRPC microservices with CI/CD, and operated low-latency agent/video ad generation workflows with retries/fallbacks and PostHog-based observability.

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NK

Mid-level Backend Engineer specializing in APIs, microservices, and data platforms

High Point, NC6y exp
AtosNortheastern University

Software engineer who built JobIntel, an end-to-end Python ETL pipeline integrating ATS data from platforms like Greenhouse using Scrapy and FastAPI. Stands out for production reliability work: designing async fault-tolerant architecture, optimizing PostgreSQL write-heavy upserts, and building a Prometheus/Splunk observability stack that cut debugging from hours to minutes.

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SC

Mid-level Software Engineer specializing in full-stack and cloud-native backend systems

New Haven, CT4y exp
CignaUniversity of Bridgeport

Full-stack/backend-leaning engineer with hands-on experience building transaction-processing systems using React, TypeScript, Node.js, MySQL, and Spring Boot microservices. They have owned services in production on AWS EKS, diagnosed peak-traffic failures via CloudWatch, and driven architectural modernization to Kafka-based microservices that improved scalability, deployment speed, and reliability.

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NS

Neha Shastri

Screened

Junior AI & Data Engineer specializing in LLM systems and analytics platforms

2y exp
AI-Assisted Grading Platform - Startup Funded by BUBoston University

Backend/ML engineer who built a job-search automation SaaS using a modular Selenium ETL pipeline, rigorous testing/observability, and a cost-optimized two-pass LLM ranking approach. Has led high-integrity data extraction from messy multi-city PDF records (95% integrity) and managed modular production rollouts for a 20+ engineer team, with a strong security focus (deny-by-default, row-level access control) in an AI-assisted grading platform.

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SS

Mid-level Software Engineer specializing in cloud-native backend and AI integrations

California, United States6y exp
SymSoft SolutionsArizona State University

Full-stack engineer with experience building customer-facing fintech mobile features end-to-end (loan estimate comparison) and scaling event-driven microservices in enterprise environments (Verizon). Has designed TypeScript/React/Node systems with queues/caching and built an internal rule-engine for bulk Excel ingestion that reduced data errors and manual rework through automated validation.

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MS

Manoj Suggala

Screened

Mid-level Software Engineer specializing in cloud-native microservices for FinTech and Insurance

Texas, USA3y exp
AIGGeorge Mason University

Backend engineer who owned an order management API built with Python/FastAPI and PostgreSQL, integrating payment and shipping providers with strong reliability patterns (idempotency, async workers, retries/backoff, circuit breakers). Experienced deploying services to Kubernetes using a GitOps model with ArgoCD (auto-sync, self-healing, pruning, rollbacks) and building high-volume Kafka streaming pipelines. Has also supported phased cloud-to-on-prem migrations with a focus on security monitoring/SIEM log continuity.

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