Vetted Test-Driven Development Professionals

Pre-screened and vetted.

SV

Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and React

Reston, VA5y exp
WalmartUniversity of Central Missouri
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DS

Senior ETL/Data Engineer specializing in cloud data platforms and AI/ML-ready pipelines

Dallas, TX9y exp
DeloitteUniversity of Texas at Arlington
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SR

Mid-Level Full-Stack Software Engineer specializing in SaaS and cloud automation

Remote, USA2y exp
AssurantKennesaw State University
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SR

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

Virginia, USA5y exp
Capital OneGeorge Mason University
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BB

Mid-level Full-Stack Software Engineer specializing in cloud-native systems and GenAI

United States, USA5y exp
JPMorgan ChaseNortheastern University
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SR

Senior Software Engineer specializing in cloud-native distributed systems and FinTech

Nashville, TN8y exp
OracleNorthwest Missouri State University
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GM

Senior Software Engineer specializing in FinTech and compliance systems

Addison, TX10y exp
WiproUniversity of Texas at Dallas
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FK

Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech

Bristow, VA9y exp
Bank of America
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PA

Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)

Toronto, Canada6y exp
The Home Depot
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KK

Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI

New York, NY7y exp
JPMorgan Chase
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KP

KrishnaVarshith Pabbisetty

Screened ReferencesStrong rec.

Mid-level Backend Software Engineer specializing in Spring Boot, microservices, and cloud-native AI

Bay Area, CA4y exp
TemenosSan José State University

Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.

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THAMES HARRISON - Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML in Gainesville, FL

THAMES HARRISON

Screened ReferencesStrong rec.

Engineering Manager specializing in enterprise SaaS, cloud architecture, and AI/ML

Gainesville, FL17y exp
Cornerstone OnDemandUniversity of Florida

Senior engineering manager who stays hands-on (~50/50) while leading teams through design reviews, code reviews, and production issue triage. Shipped scalable platform features (notifications, user action tracking via microservices) with strong quality/performance practices (TDD, high-load testing). Owned a complex cross-system SSO/IdP incident end-to-end, identifying a SameSite+iFrame root cause and delivering a configurable product fix plus support documentation.

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KS

Senior Software Engineer specializing in full-stack distributed systems and AI

Alhambra, CA14y exp
Yes EnergyUC San Diego
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YS

Yash Sanjay Zaveri

Screened ReferencesStrong rec.

Junior Software Engineer specializing in backend systems and AI automation

Boston, MA2y exp
Northeastern UniversityNortheastern University

Built and deployed an AI Copilot for Healthful Telehealth that helps dietitians generate personalized meal plans using patient data and real-time clinical context. Stands out for owning the full lifecycle—from workflow discovery and ETL/RAG architecture to production incident response and post-launch stabilization—while delivering roughly 30% gains in retrieval accuracy and latency.

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RG

Rithindatta Gundu

Screened ReferencesStrong rec.

Mid-level AI/ML Engineer specializing in LLM systems and cloud MLOps

San Francisco, CA4y exp
Wells FargoSeattle University

Built a production LLM-powered fraud detection platform at Wells Fargo, combining OpenAI/Hugging Face models with RAG-based explanations to make flagged transactions interpretable for risk and compliance teams. Delivered low-latency, real-time inference at high scale on AWS (SageMaker + EKS), with strong observability and security controls, reducing manual reviews and false positives in a regulated environment.

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BC

Mid-level Full-Stack Developer specializing in React/Next.js and Node/NestJS

Remote, USA3y exp
WayfairWebster University

Full-stack engineer who built and owned an internal analytics dashboard for sales (React/TypeScript + Node/Express + NoSQL), delivering it two weeks early with zero production issues and a reported 10% sales-efficiency lift. Experienced with microservices and async messaging patterns (retries/DLQs/idempotency), and emphasizes rapid iteration with strong CI/CD and automated testing plus user-driven adoption.

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JB

Jack Bacon

Screened

Intern Embedded/Robotics Engineer specializing in solar energy systems and autonomous navigation

Marriottsville, MD0y exp
TMEICVirginia Tech

Robotics-focused engineer from a senior capstone who built the backend motion-control software for a semi-autonomous line-following vehicle split across two ESP32s. Experienced in ROS 2 (DDS, lifecycle nodes, QoS) and in bridging microcontroller telemetry to a laptop ROS 2 stack over UART with custom structured protocols, using Gazebo simulation to tune PID and validate behavior before deploying to hardware.

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SV

Mid-Level Software Engineer specializing in full-stack, AI/LLMs, and Android

Plano, TX4y exp
L&T Technology ServicesUniversity of Texas at Austin

Backend/AI engineer who built a Spring Boot timesheet API on AWS (Postgres, Docker, Nginx) used by hundreds of daily users and resolved severe deadline-driven latency/5XX incidents via query optimization, connection pool tuning, and Redis caching. Also shipped application-layer LLM features (Mistral + LangChain chatbot) and designed a Planner/Executor/Verifier troubleshooting agent with verification-based guardrails to prevent hallucinated root-cause analyses.

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RN

Mid-Level Software Engineer specializing in Python backend, data engineering, and cloud microservices

New Jersey, USA6y exp
Abacus InsightsNJIT

Backend-leaning full-stack engineer with production experience in both healthcare (claims enrichment/interoperability at Abacus) and finance (Goldman Sachs pricing/risk APIs + React dashboards). Built an event-driven AI grading platform using Postgres Debezium CDC + Kafka + FastAPI on AWS that cut manual grading ~70% and served 1000+ students, with strong emphasis on reliability, testing, and performance tuning.

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Ashank Dsouza - Mid-level Full-Stack Developer specializing in Node.js/React and cloud DevOps in Bengaluru, India

Ashank Dsouza

Screened

Mid-level Full-Stack Developer specializing in Node.js/React and cloud DevOps

Bengaluru, India4y exp
TecnotreeArizona State University

Software engineer with startup and capstone experience who improved an ~8-hour database refresh workflow by moving API calls to asynchronous execution and then addressing API rate limits via throttling. Emphasizes performance profiling/logging, strong developer onboarding documentation practices, and disciplined Agile/Jira bug triage and expectation-setting with stakeholders.

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Omkar Lahurikar - Senior engineering founder specializing in AI systems and automotive controls in Dearborn, MI

Senior engineering founder specializing in AI systems and automotive controls

Dearborn, MI13y exp
RDDMichigan Technological University

Builder-minded founder/operator currently at Ford who previously co-founded MeruDynamics, an "Uber for manufacturing" platform, and took it from zero to paying customer without raising capital. He also independently built and deployed RDD, an AI copilot for engineering decision capture, with evals, prompt versioning, and LLM cost telemetry—showing unusual depth in both product thinking and practical AI execution.

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