Vetted Dashboarding Professionals

Avanishika Revelli

Screened

Junior Software Engineer specializing in backend, cloud, and robotics automation

2y exp

“Graduate Research Assistant in Robotics at Arizona State University who built an end-to-end LLM-driven task execution framework enabling collaborative robots to convert high-level natural language instructions into safe, executable ROS actions. Implemented robust monitoring, failure detection, and automatic replanning, and addressed real-world issues like timestamp/frame-transform mismatches and heterogeneous robot interoperability using adapter nodes.”

Victoria Magaziner

Screened

Senior QA Automation Engineer specializing in end-to-end test automation for FinTech and automotive platforms

Los Angeles, CA9y exp

“QA Engineer with 8 years owning end-to-end quality on high-traffic, live fintech and automotive platforms (Fuse Autotech), specializing in critical financial and e-signing workflows. Combines API testing (Postman), log observability (Kibana/Logz.io), and disciplined Jira/Xray processes to accelerate triage and shorten release cycles (1 week to 3 days) while reducing production issues and integration/regression defects with measurable impact.”

Haider Zahoor

Screened

Mid-level Game/Software Engineer specializing in Unity & Unreal cross-platform development

San Jose, California6y exp

“Unity/VR developer who has shipped on Meta Quest (SideQuest) and built standalone PCVR medical applications used with real patients. Built a fully solo roguelike twin-stick shooter with a highly modular ScriptableObject/state-machine architecture, including custom build-time tooling to overcome Unity runtime constraints. Uses AI selectively (e.g., Claude) to generate editor tooling like a match-3 level designer to speed up level production.”

“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.”

“Built a production multi-agent RAG assistant using LangChain/LangGraph with OpenAI embeddings and FAISS, focusing on retrieval quality and latency (Redis caching, parallel retrieval, precomputed embeddings). Experienced orchestrating ETL/ML pipelines with Airflow and Databricks Workflows, and has delivered an AI assistant for business ops to extract insights from policy/compliance documents through close non-technical stakeholder collaboration.”

“Game QA professional with AAA experience on Counter Strike Online, owning high-risk areas like matchmaking and server stability end-to-end (test planning through release verification). Has led cross-platform mobile QA for complex multiplayer titles with third-party integrations and tight deadlines, and strengthens coverage via automation and disciplined JIRA-based triage and reporting.”

“Enterprise Customer Success professional with end-to-end ownership from onboarding through renewal, delivering strong measurable outcomes (35% adoption lift, 45% key feature usage lift, 95% CSAT, and 100% renewal). Experienced partnering cross-functionally with Product/Engineering/Sales to resolve integration issues and shaping roadmap via PRDs/user stories, with martech analytics/workflow expertise including Slack automation that improved lead engagement by 30%.”

Ramya Jonnala

Screened

Principal/GenAI Engineer specializing in LLMs, RAG, and MLOps

Plano, TX9y exp

“Built a production AI-powered university marking system that automates question generation and grading from PDF course materials using a RAG pipeline (S3 + Pinecone) orchestrated with LangChain/LangGraph and deployed on AWS ECS via Docker/ECR and GitHub Actions CI/CD. Addressed a key real-world LLM challenge—grading consistency—by implementing rubric-based scoring, retrieval re-ranking, and standardized context summarization, validated against human instructors.”

Asad Abdul

Screened

Mid-level Full-Stack Developer specializing in AI-driven cloud-native applications

Laguna Niguel, CA4y exp

“Full-stack engineer with healthcare/ops analytics experience at PatientXpress, shipping a real-time operational dashboard end-to-end (React/TypeScript + Node/Postgres on AWS) that cut manual reporting by 50%. Strong in performance and reliability work—pagination/caching, Postgres indexing/partitioning, Terraform-based AWS provisioning, CI/CD with GitHub Actions, and production incident response with improved monitoring (CloudWatch/Prometheus).”

“Salesforce-focused engineer with hands-on ownership of complex Sales Cloud and Service Cloud solutions, including automated lead-to-opportunity lifecycle workflows, LWC-based lead management UIs, and Aura case management consoles. Stands out for making thoughtful architecture tradeoffs between Flow and Apex, with strong attention to scalability, governor limits, UX performance, and post-release monitoring.”