Vetted Java Professionals

“Frontend engineer who led a networking-device simulation PoC into a production-integrated product, designing microservice-style containerized architecture and optimizing massive telemetry streams with WebSockets and Kubernetes-based scaling. Built a React+TypeScript network orchestration dashboard (Platina Command Center) and drove quality/performance through unit/E2E testing with measurable browser/API performance metrics and CI/CD automation for rapid monthly releases.”

“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”

Punith Jayaramu

Screened

Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems

Auburn Hills, MI3y exp

“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”

Nazar Fedyk

Screened

Senior QA Automation Engineer specializing in end-to-end and API test automation

Chicago, IL7y exp

“QA automation engineer in a banking domain who owned an end-to-end automation suite for critical money movement flows (onboarding, funding, transfers). Demonstrated impact through edge-case coverage (min balance, boundary amounts, repeated actions, timeouts), CI/CD gating with smoke vs regression suites, and catching a high-impact timing defect where UI success masked incorrect balance updates.”

Sridhar Duggireddy

Screened

Executive Technology Leader specializing in Cloud Platforms, DevOps, and AI/ML

Tampa, FL21y exp

“Early-stage startup CTO helping build an AI-powered parenting assistant app with features spanning advice, shopping, task management, and inventory management. The team is currently testing an MVP with their network while the candidate simultaneously learns the seed/Series fundraising process through Connectd and early investor conversations.”

Dhananjay Dubey

Screened

Senior Full-Stack Game Engineer specializing in multiplayer Unity and mobile systems

Newark, NJ6y exp

“Unity/C# game developer with hands-on experience shipping large-scale multiplayer mobile games, including titles cited at 1M+ and 10M+ downloads. Combines real-time networking and physics optimization expertise with AI/MR research experience, including an IEEE-published sports coaching system using pose estimation, SMPL-X, and LSTM models. Particularly strong in latency-sensitive, cross-platform interactive systems spanning mobile, multiplayer, and mixed reality.”

Rangel Koli

Screened

Entry-level Software Engineer specializing in backend and cloud systems

New York City, NY1y exp

“Backend engineer who built and scaled a zero-to-one social product backend using Supabase (Postgres, Edge Functions, Auth, Realtime) plus Neo4j for graph-based friend recommendations. Demonstrates strong production rigor: staged rollouts with metrics, incident rollback/postmortems, and complex schema refactors using expand-contract/dual-write with reconciliation and feature flags. Notably proactive about edge cases like geo-boundary realtime delivery and idempotent retry safety.”

Sivamalai Chandrasekar

Screened

Mid-level Forward Deploy Engineer specializing in cloud platforms and customer deployments

Aspen, CO4y exp

“Built and deployed VotingConnect end-to-end, owning everything from stakeholder discovery to architecture, full-stack implementation, and post-launch stabilization, with reported outcomes including 99.9% uptime and a 40% increase in voter participation. Currently works at SIXT on Cobra, an AWS-powered fleet management platform, where they focus on real-time data integrity, anomaly resolution, and reporting workflows that directly support operational and revenue decisions.”

Drashti Magia

Screened

Junior AI Engineer specializing in LLMs, multimodal ML, and applied machine learning

San Jose, CA3y exp

“Software engineer with a disciplined, production-minded approach to AI-driven development: uses ChatGPT, Claude, GitHub Copilot, and scoped coding agents to accelerate delivery without giving up architectural judgment. Notably applied a multi-agent workflow on ClinicOps Copilot, using agents for planning, Bedrock/RAG scaffolding, and failure testing while personally owning architecture, grounding quality, and end-to-end review.”

“Software engineer using AI pragmatically to accelerate development while keeping human review central to quality. Has hands-on experience applying AI and lightweight multi-agent workflows in a microservices environment spanning Java Spring Boot APIs, React modules, and Kafka event flows, with strong emphasis on architecture validation and production safeguards.”

“iGaming product leader with 11 years of Product Owner experience, spanning QA automation (built a testing framework) through BA and ultimately PO for an online poker team for nearly 6 years. Has shipped and managed live web/mobile/tablet games and worked closely with compliance/UKGC on game certification and launches, using BI/data and player feedback to prioritize features and F2P retention mechanics (tournament ticket funnels, quests).”

“Customer-facing platform support professional focused on application security and reliability for SaaS integrations, with hands-on experience troubleshooting API auth failures and data update issues using Linux/app/DB logs, SQL, and monitoring. Demonstrates strong security fundamentals (least privilege, TLS/access controls, credential rotation) and can design secure AWS agent integrations while also supporting Azure containerized REST API deployments via CI/CD.”

sai anuragh Sangoju

Screened

Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP

Dallas, Texas4y exp

“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”