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Vetted Elastic Stack (ELK) Professionals
Pre-screened and vetted.
Sam Sharif
Senior AI Engineer specializing in machine learning, GenAI, and MLOps
“Built an end-to-end agentic population health strategy copilot for healthcare leadership, turning broad chronic disease questions into structured, evidence-backed strategy briefs. Stands out for combining healthcare domain knowledge with production-grade GenAI implementation, including LangGraph orchestration, Databricks/MLflow deployment, human review, and quality gates focused on citations, metrics, risks, and safety.”
Nikita Sipeikin
Mid Backend Java Developer specializing in high-load FinTech systems
“Java developer with hands-on experience using AI coding tools heavily in day-to-day development, estimating roughly 60% AI-generated output in a recent shipped feature. Brings practical debugging and testing experience, including performance testing and resolving Spring Boot circular dependency issues through architectural changes.”
Harsh Patel
Mid-level Full-Stack Software Engineer specializing in AI and FinTech
“Built AI-powered products across both healthcare and financial services, including a privacy-conscious assistant for elderly health check-ins and a production RAG system for high-stakes financial document analysis. Stands out for combining full-stack engineering with strong LLM reliability practices—grounding, structured outputs, fallback handling, monitoring, and human-in-the-loop controls—while delivering measurable impact on accuracy, speed, and system performance.”
Charmi Dharmendrakumar Parmar
Mid-Level Software Engineer specializing in full-stack and cloud-native systems
“Backend/full-stack engineer who owned a cloud-native, AWS-based microservices backend for an HRIS product used by ~10,000 users, including onboarding and workflow orchestration. Strong production focus on event-driven architecture, idempotency/retries, observability, and developer-friendly API design (OpenAPI, versioning, JWT), plus hands-on Selenium automation for resilient checkout-style flows.”
Faisal Hayat
Senior Python Full-Stack Engineer specializing in AI-powered backend systems
“Backend-leaning full-stack engineer with startup experience building AI-powered products and ERP/SaaS platforms. They’ve delivered Python/FastAPI/Django and React systems on AWS, including an AI document processing platform and business workflow tools used by thousands of users, with strong hands-on depth in database optimization and production operations.”
Mid-Level Java Developer specializing in Spring Boot microservices and cloud-native apps
Senior Software Engineer specializing in FinTech and compliance platforms
Mid-level Full-Stack/Backend Engineer specializing in cloud microservices and ML platforms
Senior DevOps Engineer specializing in multi-cloud infrastructure and data pipelines
Senior Software Engineer specializing in Golang backend, cloud-native systems, and LLM/RAG platforms
Senior Full-Stack & DevOps Engineer specializing in cloud-native microservices
Senior DevOps & Cloud Engineer specializing in AWS/Azure automation and Kubernetes platforms
Senior Backend/Full-Stack Engineer specializing in cloud-native microservices and data streaming
Senior AI/ML Engineer specializing in NLP, computer vision, and MLOps
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and MLOps
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Senior Full-Stack & DevOps Engineer specializing in cloud-native web applications
Senior Software Engineer specializing in Python, AI/LLM platforms, and cloud-native APIs
Senior Full-Stack Engineer specializing in cloud-native microservices and FinTech systems
Senior Site Reliability Engineer specializing in Kubernetes reliability and cloud infrastructure
Mid-Level Full-Stack Software Engineer specializing in microservices and data-driven solutions
Mid-Level Full-Stack Software Engineer specializing in Java microservices and React