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Vetted SDLC Professionals
Pre-screened and vetted.
Mid-level Java Backend Engineer specializing in Financial Services
Mid-Level Software Engineer specializing in AI, cloud-native microservices, and full-stack systems
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Principal Customer Success Leader specializing in Enterprise SaaS and Cloud Transformation
Mid-level Full-Stack Software Engineer specializing in healthcare and cloud systems
Mid-level Solutions Engineer specializing in full-stack systems and FinTech/media platforms
Senior Backend Engineer specializing in cloud-native microservices and real-time streaming
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Mid-Level Software Engineer specializing in backend microservices and cloud-native ML platforms
Senior Software Engineer specializing in FinTech compliance systems
Mid-level UI Developer specializing in real-time dashboards for FinTech and Healthcare
Executive IT leader specializing in digital transformation and enterprise systems
Executive product leader specializing in enterprise platforms across healthcare and FinTech
Junior AI Engineer specializing in enterprise LLM and FinTech systems
Senior Software Engineer specializing in AI-powered backend and data platforms
Yousif Aluzri
Senior UNIX/Linux Systems Engineer specializing in telecom mobility and automation
“Commercial UNIX specialist and former tech lead for a UNIX-based telco appliance spanning 11 SPARC Solaris servers, with strong Solaris troubleshooting (truss/iostat/netstat/snoop) and extensive shell scripting automation for safer, more consistent operations. Has executed multiple Solaris major-version migrations (6→8→10→11) and brings broad cross-UNIX platform experience (Solaris/SunOS/HP-UX/IRIX/OSF/1), while actively looking to deepen hands-on AIX/IBM Power expertise.”
Varshith Dupati
Mid-level Software Engineer specializing in AWS, full-stack development, and AI data systems
“Backend engineer who built a Python-based data profiling/statistics platform processing up to 50M rows and ~300 metrics, using a DAG execution model, multithreading, and smart caching to cut processing time by up to 70%. Also improved PostgreSQL query performance from 12s to 2s via indexing/query rewrites, integrated an LLM (LangChain + OpenAI) for explainable “chat with the pipeline” functionality, and designed an AWS EC2+SQS architecture for scalable, isolated per-user processing.”
Abhinav Sharma
Mid-level Technical Consultant specializing in Appian delivery and data/AI workflow automation
“Appian consultant/engineer focused on insurance and financial services modernization and AI-enabled workflows. Built and productionized an AI-driven insurance submission intake system (email ingestion, classification/extraction, HITL review) cutting processing time from 2+ hours to under 10 minutes, and delivered semantic smart search with guardrails and UAT-driven ranking improvements. Also partnered with a global bank CTO org, running sessions with 200+ senior leaders to automate regulatory/board metric reporting via platform integrations and attestation.”