Vetted Engineering Professionals

Pre-screened and vetted.

HB

Junior Software Developer specializing in backend microservices and DevOps

Mississauga, Canada2y exp
Bell MobilityBrock University

Built and operated a real-time student event/party discovery platform with map-based search, RSVP, and authentication using React/TypeScript, Node.js, and Firebase Firestore. Demonstrates strong backend correctness under concurrency (transactions, idempotency, retries/backoff) and solid API product thinking (versioning, Swagger docs, structured errors, cursor pagination), including custom geospatial querying via Haversine filtering.

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PM

Mid-level Software Engineer specializing in Healthcare IT & HL7 FHIR interoperability

Albany, NY6y exp
OptumUniversity at Albany

Backend/platform engineer with Optum experience owning a production FHIR Member Access API aligned to CMS interoperability requirements. Built and scaled Spring Boot/HAPI FHIR microservices on AWS (Docker/Kubernetes) with zero-downtime CI/CD, and operated them with strong observability (Dynatrace, logs/metrics, alerting) and incident response. Also implemented a Kafka-based FHIR bulk data pipeline with schema versioning, idempotent processing, and reliable backfills/replays.

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SK

Shashi Kiran

Screened

Mid-level Full-Stack .NET Developer specializing in Azure, APIs, and Angular SPAs

Charlotte, NC4y exp
TruistWestern Illinois University

Frontend-focused engineer with enterprise Angular experience integrated with .NET APIs, emphasizing production-ready practices (reusable components, modular architecture, TypeScript standards, Jasmine unit tests, and CI/CD). Has not built Unreal Engine UI systems yet, but articulates how they would translate web UI modularity, separation of concerns, and testing/automation practices to Unreal/CommonUI workflows.

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DN

Software Engineering Intern specializing in real-time analytics and distributed systems

California, USA2y exp
Discover Excellence LLCArizona State University

Built a production AI legal search platform that uses a retrieval-first, source-grounded LLM pipeline with confidence-based fallbacks and structured, traceable outputs to reduce hallucinations and improve trust. Also has experience at Discover Excellence building real-time analytics and identity stitching systems, emphasizing conservative data validation, idempotent processing, and fault-tolerant queue-based workflows.

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Aakanksha Desai - Junior Full-Stack Software Engineer specializing in React, Kubernetes, and AI-powered apps in Scottsdale, Arizona

Junior Full-Stack Software Engineer specializing in React, Kubernetes, and AI-powered apps

Scottsdale, Arizona2y exp
onsemiArizona State University

Backend/DevOps-leaning engineer managing multiple customer service platforms end-to-end (requirements through deployment). Built an in-house Python monitoring/alerting solution for Salesforce-to-Java contact sync jobs (Snowflake dependencies) that increased uptime ~60%, and helped modernize delivery by moving the team from manual releases to automated Jenkins-based deployments while coordinating an Oracle EBS→Fusion transition with business/data/IT stakeholders.

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Cameron Shapoorian - Mid-level Test Automation & AI Integration Engineer

Mid-level Test Automation & AI Integration Engineer

3y exp
Bland AIUniversity of Colorado Boulder

Forward-deployed/solutions-oriented engineer with experience shipping enterprise LLM voice-agent workflows from prototype to production, including variable extraction and API integrations. Demonstrated strong real-time troubleshooting via logs/RCA (e.g., fixing multilingual language-switching by tuning temperature and improving context), and has led technical workshops while partnering with sales/solutions teams to drive customer adoption.

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Ludwik Bacmaga - Senior Game & VR Lead Developer specializing in Unity and cross-platform multiplayer in Zurich, Switzerland

Senior Game & VR Lead Developer specializing in Unity and cross-platform multiplayer

Zurich, Switzerland7y exp
StoryToysUniversity of Plymouth

Lead Unity VR developer who shipped multiple Meta Quest Store releases, including porting Titanic VR and building Rollercoaster Legends titles for Quest 3 (with Quest 2 support). Also independently built and released a multiplayer mobile trivia game using PlayFab, P2P networking with host migration, and encrypted/serverless backend updates to reduce hacking.

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Yat Pan Fung - Mid-level Full-Stack Developer specializing in web, mobile, and crypto trading systems in New Westminster, BC

Yat Pan Fung

Screened

Mid-level Full-Stack Developer specializing in web, mobile, and crypto trading systems

New Westminster, BC5y exp
AdTactics Marketing International LtdThe University of Hong Kong

Frontend engineer with experience building an e-commerce marketplace platform (Japan-to–Hong Kong) and designing a modular, message-queue-driven architecture for scalability and reliability. Built a high-frequency, massive-state React+TypeScript interface using Redis event streaming and JSON Patch, reporting ~10x–20x performance gains over polling/immutable approaches.

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prashansa chaudhary - Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms and AI apps in Redwood City, CA

Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms and AI apps

Redwood City, CA4y exp
Stanford UniversityIllinois Institute of Technology

Software engineer who has owned customer-facing/internal platforms end-to-end, emphasizing fast iteration through small releases backed by monitoring and rollback safety. Built SurveyAI with reusable React/TypeScript components and a stateless Node.js REST backend with clear API contracts/validation, and created an internal Airflow + AWS Lambda automation tool integrated with Slack alerts to reduce manual work and improve response time.

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Manasa Pippera - Senior .NET Full-Stack Developer specializing in cloud, IoT messaging, and real-time web apps in Franklin, TN

Senior .NET Full-Stack Developer specializing in cloud, IoT messaging, and real-time web apps

Franklin, TN6y exp
Acadia HealthcareTrine University

Full-stack engineer who owns customer-facing web products end-to-end (React/TypeScript + Node.js), shipping frequent releases with strong testing, staged deploys, and production monitoring. Improved a key user flow by batching backend calls and simplifying frontend rendering, driving ~30% faster load times and ~30% higher completion rates. Also built an ops monitoring dashboard using ELK + Prometheus/Grafana that cut incident response time by 40% and has hands-on microservices messaging experience (RabbitMQ/Kafka, idempotency, DLQs).

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Ron Lei - Junior QA Automation Engineer specializing in Playwright E2E and API testing in San Francisco, CA

Ron Lei

Screened

Junior QA Automation Engineer specializing in Playwright E2E and API testing

San Francisco, CA3y exp
Checksum AIUC Santa Cruz

QA automation-focused engineer who hardens production CI/CD by integrating and stabilizing end-to-end automated tests (tackling async UI flakiness, resilient assertions/selectors, and controlled test data). Demonstrates strong cross-layer troubleshooting by correlating logs and system metrics to resolve intermittent service reachability, then adding monitoring/alerts and documentation. Also partners directly with operators to improve real-world workflows by enhancing validation logic and error messaging.

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Prasad Krishna - Mid-level Full-Stack Developer specializing in healthcare analytics and microservices in Remote, USA

Mid-level Full-Stack Developer specializing in healthcare analytics and microservices

Remote, USA4y exp
HCA HealthcareUniversity of North Texas

Built and maintained an air-quality prediction backend in Python/Flask that serves offline-trained ML models to a React dashboard via JSON REST APIs. Demonstrates strong performance focus across the stack—low-latency inference under load, SQLAlchemy/Postgres query optimization, multi-tenant data isolation, and caching/background task strategies for high-throughput systems.

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Visaj Kapadia - Mid-Level Full-Stack Developer specializing in AWS and scalable web platforms in Santa Monica, CA

Visaj Kapadia

Screened

Mid-Level Full-Stack Developer specializing in AWS and scalable web platforms

Santa Monica, CA5y exp
Just Slide MediaCalifornia State University

Software engineer with hands-on AWS experience optimizing an email campaign delivery system—re-architected a monolithic worker into multi-threaded/multi-worker ECS components to boost throughput ~600% (5 to 35 emails/sec). Comfortable debugging production issues (e.g., SQS/EventBridge policy misconfiguration) and emphasizes maintainable delivery via design docs, TDD, versioned APIs, and strong test coverage.

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Femi Ayoade - Mid-level Robotics Controls Engineer specializing in ROS2 real-time motion control in Tustin, CA

Femi Ayoade

Screened

Mid-level Robotics Controls Engineer specializing in ROS2 real-time motion control

Tustin, CA5y exp
Earthwise PackagingSouthern Illinois University Edwardsville

Robotics software engineer at Earthwise building a full ROS2 Humble warehouse AMR stack for bin picking—owning perception (Livox/Orbbec/RPLidar fusion + calibration), Nav2 navigation with custom planners/behavior trees, and application-layer nodes (barcode scanning, safety monitoring, web HMI). Demonstrated strong real-world debugging and performance tuning (sub-cm AprilTag docking; ~80% reduction in localization failures) plus solid simulation/CI practices (Gazebo + Docker + GitHub Actions).

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Isnaini NR - Mid-level QA Engineer specializing in Agile test planning and automation in Jakata, Indonesia

Isnaini NR

Screened

Mid-level QA Engineer specializing in Agile test planning and automation

Jakata, Indonesia6y exp
DOKUUniversitas Gadjah Mada

QA tester with hands-on API and web testing experience (functional, E2E, regression, sanity, performance) looking to transition into console game testing. Understands the need for platform-specific validation across console models/firmware and is aware of Sony TRC, Microsoft XR, and Nintendo LOT certification requirements, with a structured, risk-based approach to prioritization and release support.

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Israel Sodano - Principal/Staff Software Engineer specializing in distributed systems and FinTech platforms in São Paulo, Brazil

Israel Sodano

Screened

Principal/Staff Software Engineer specializing in distributed systems and FinTech platforms

São Paulo, Brazil13y exp
Big MountainETEC Lauro Gomes

Brazil-based tech leader who helped build Bankly’s end-to-end Banking-as-a-Service platform—delivering a plug-and-play solution in 6 months and architecting for ~5k requests/second; Bankly later became the largest BaaS in Brazil. Also runs a closed, personal-capital private trading group focused on automating investment decisions with AI trading bots, but is currently prioritizing international career growth over entrepreneurship.

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Veena Vyshnavi Garre - Senior Full-Stack Software Engineer specializing in cloud-native systems and AI/ML in Hyderabad, India

Senior Full-Stack Software Engineer specializing in cloud-native systems and AI/ML

Hyderabad, India7y exp
EYSan José State University

Backend engineer who significantly evolved an internal Resource Manager platform, moving from a monolith to microservices and improving onboarding speed while reducing integration errors. Has hands-on experience building reliable and secure Python/FastAPI APIs (Pydantic schemas, circuit breakers, caching, metrics/alerts) and leading zero-downtime migrations with strong data integrity patterns (dual writes, idempotency, reconciliation checks).

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Abhinav Garg - Senior Robotics Software Engineer specializing in ROS 2 autonomy and distributed systems in College Park, MD

Abhinav Garg

Screened

Senior Robotics Software Engineer specializing in ROS 2 autonomy and distributed systems

College Park, MD6y exp
Fulcrum TechnologiesUniversity of Maryland, College Park

Robotics Software Engineer with 2.5 years at the Army Research Lab building production tools and cloud infrastructure for large-scale ROS/Unity simulation on AWS. Created a Python GUI to streamline analysis of massive (100GB) ROS bag/MCAP datasets and has deep ROS2/Nav2 performance debugging experience (executor/QoS/TF tracing). Also built an in-house ROS perception pipeline for an assembly-line use case, reaching 92% accuracy.

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Ramyasree K - Mid-level DevOps/Cloud Engineer specializing in AWS infrastructure automation in Boston, MA

Ramyasree K

Screened

Mid-level DevOps/Cloud Engineer specializing in AWS infrastructure automation

Boston, MA4y exp
Mass General BrighamAustralian National University

Frontend engineer with experience building a large-scale React + TypeScript administrative dashboard for an e-commerce platform, using Redux Toolkit plus TanStack Query to separate UI and server state. Emphasizes quality at scale through CI/CD automation, Jest/integration testing, and performance techniques like code splitting and caching, with experience coordinating integration across multiple teams.

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Haritha Kuraparthi - Mid-level Full-Stack Developer specializing in cloud data engineering and analytics in West Haven, CT

Mid-level Full-Stack Developer specializing in cloud data engineering and analytics

West Haven, CT4y exp
BlackbaudUniversity of Bridgeport

Software developer with hands-on experience owning customer-facing work end-to-end (requirements, implementation, testing, and feedback-driven iteration) using Python and React.js. Also described remodeling an internal legacy page/tool to improve performance and accuracy, and has exposure to microservices and RabbitMQ plus ETL-based system work.

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makarand pundlik - Mid-Level Software Engineer specializing in AWS serverless and Node.js microservices in New York, NY

Mid-Level Software Engineer specializing in AWS serverless and Node.js microservices

New York, NY2y exp
BestworkNorth Carolina State University

Software intern at BestWork who owned an AI-powered sales performance chatbot end-to-end: React/Material UI frontend, TypeScript AWS Lambda backend, and AWS Bedrock (Llama 3) + OpenSearch knowledge base over Salesforce/HubSpot data with Slack-based weekly summaries. Worked directly with the CTO in a high-ambiguity environment, including building an audio bot from scratch just in time for a client demo, and implemented metadata-based retrieval to handle multi-team knowledge base constraints.

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Satwika Boppudi - Mid-level Site Reliability Engineer specializing in AWS cloud and AI-driven backend systems in Houston, TX

Mid-level Site Reliability Engineer specializing in AWS cloud and AI-driven backend systems

Houston, TX7y exp
CignaUniversity of North Texas

Backend/AI engineer in healthcare/insurance (mentions Cigna) who has shipped production systems spanning high-reliability APIs, async job architectures (Celery), and LLM/RAG features. Built an LLM document assistant with Terraform-managed AWS infra, semantic search retrieval, and strict permissioning/audit logs, and designed an automated prior-authorization workflow with human-in-the-loop escalation and compliance-driven thresholds.

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Kirill Aristarkhov - Junior Software Engineer specializing in full-stack, AI/ML systems, and game development in Santa Barbara, CA

Junior Software Engineer specializing in full-stack, AI/ML systems, and game development

Santa Barbara, CA3y exp
UC Santa Barbara Gaucho Game LabUC Santa Barbara

Full-stack engineer (React/TypeScript + Bun/Node-like backend) who recently rebuilt a terminal-based chat UI, implementing custom Markdown lex/parse/render and a typewriter-style streaming renderer while optimizing React DOM growth for ~50% faster performance. Has startup experience making high-ownership decisions under ambiguity and rapidly integrating multiple external AI/tooling services (5–6 in a week) with fallback strategies for flaky dependencies.

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Sumanth Gottipati - Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech in New York, NY

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech

New York, NY4y exp
Delta Air LinesVirginia University of Science and Technology

At Delta Airlines, built and shipped a production LLM-powered semantic search/troubleshooting assistant over maintenance logs and operational documentation using OpenAI embeddings and a vector database. Implemented hybrid ranking, query enrichment, and structured filters to improve relevance ~35% while optimizing latency via caching and vector tuning. Also designed a scalable Kafka + AWS (Lambda/SQS) ingestion pipeline with strong reliability/observability and an eval loop using real engineer queries and human review.

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