Vetted Java Professionals

“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”

“Frontend engineer who built the full frontend for gameofstreaks.com using React/Next.js with an emphasis on responsive design, accessibility, SEO, and performance profiling. Has experience refactoring legacy HTML/CSS/JS sites into reusable React components and shipping quickly with unit tests, CI/CD, and branch-based deployments; also collaborates with designers in hackathon settings (e.g., an AI interview practice app).”

Deeksha V

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments

Atlanta, GA4y exp

“Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.”

“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.”

THAMES HARRISON

Screened ReferencesStrong rec.

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

Gainesville, FL17y exp

“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.”

“Architect/product owner/lead developer who built high-scale ERP supply chain and inventory transaction capabilities (including order-to-order pegging) with strong performance tuning in Postgres and robust monitoring/reprocessing dashboards. Also led product for an enterprise agentic development platform using LLM integrations to generate user stories, data models, workflows, and RBAC-secured applications, with sandboxing and promotion guardrails plus UAT across technical and non-technical personas.”

Sai Haritha Sardena

Screened ReferencesStrong rec.

Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML

Remote, USA7y exp

“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”

Mark Thomas

Screened ReferencesStrong rec.

Director-level software architect specializing in cloud, distributed systems, and healthcare IT

McCalla, AL20y exp

“Startup veteran with experience at seven companies since 2004 and direct exposure to Birmingham's Innovation Depot accelerator through three different startups. Has worked closely with investment teams on MVPs and pitch decks and brings a pragmatic lens to evaluating ventures through need, margins, burn rate, cash position, and sales growth strategy.”

Aldric Pinto

Screened ReferencesStrong rec.

Mid-level AI product and data lead specializing in analytics and healthcare AI

New Haven, CT4y exp

“Product-minded software engineering lead with a blend of backend, data engineering, cloud observability, and AI product experience. They’ve owned systems end-to-end, from ETL job builders that cut setup time 70% to hybrid-cloud observability workflows that reduced monitoring effort 80%, and also drove an AI marketing feature that improved conversion from 2% to 6%.”