Vetted SQL Professionals

Hailey Tu

Screened

Intern-level business consulting candidate specializing in strategy and process improvement

Atlanta, GA1y exp

“Georgia Tech graduating senior and student leader who turned campus professional programming into real-world outreach experience, securing startup sponsorships and building external partnerships through cold outreach. Combines relationship-building and communication strengths with structured market research experience, including a Sweetgreen strategy project with 187 survey responses and a GE Vernova process-improvement project focused on automation and cost savings.”

Srinivas Vasudevan

Screened

Junior Software Engineer specializing in distributed systems and FinTech

Durham, NC3y exp

“Built an end-to-end payment fraud monitoring dashboard with a React/TypeScript frontend, GraphQL backend, Redis hot path, and a production RAG chatbot, while solving real-time latency and scaling issues. Also shipped an OCR system on AWS EKS for a live manufacturing line at Troxler, improving production accuracy by 15% with custom preprocessing and model tuning.”

“Senior product leader with a track record of transforming legacy and labor-intensive products into AI-native, high-growth platforms across automotive SaaS, legal tech, enterprise software, and UCaaS. Most notably, they rebuilt CallRevu’s call analysis engine to replace human review with AI, cutting processing costs by 93% and reducing turnaround from 30 minutes to under 3 seconds, while also launching a new adjacent product line.”

“Backend-focused AI engineer with enterprise experience building startup-style internal products at JPMorgan Chase. He helped create an AI-powered financial research platform for analysts, leading retrieval and multi-agent orchestration work that cut research prep from hours to under 20 minutes while scaling across large volumes of SEC filings and earnings transcripts.”

Yaritsa Hernandez

Screened

Senior Technical Product Manager specializing in merchandising and supply chain systems

Remote, OR9y exp

“Product/operations-focused leader with hands-on experience driving automation and internal AI solutions in complex enterprise environments at Nike. They stood out by identifying critical SAP S/4HANA gaps after go-live, designing cross-functional solutions that removed manual work and protected order flow, and by building a Databricks-based chatbot to make technical and merchandising knowledge more accessible.”

Sanjay Santhanam

Screened

Mid-level AI Software Engineer specializing in LLMs and FinTech data systems

San Jose, CA4y exp

“Backend/AI systems engineer focused on productionizing agentic document-processing workflows for large financial PDFs. They describe owning deployments end-to-end, combining Python, Redis, LLM function calling, RAG/ReAct-style orchestration, and strong reliability practices to deliver 80% faster processing, reduce parsing errors from 12% to ~1%, and sustain 99.9% uptime in high-concurrency environments.”

“Customer-facing technical pre-sales operator with experience spanning conversation intelligence, fraud/AML, martech personalization, and SEO SaaS. Stands out for turning complex enterprise evaluations into credible implementation paths, with measurable impact including a 33% reduction in deployment timelines, $5.4M+ ACV account support, and direct influence on seven-figure pipeline and deal outcomes.”

“Built end-to-end AI features across both fitness and insurance domains, including a full-stack personalized workout recommendation system and a production RAG-based insurance QA assistant at Relevance Labs. Stands out for combining backend/distributed systems skills with practical LLM architecture, evaluation, and risk-aware human-in-the-loop design; notably reduced unnecessary LLM calls by 40% while improving latency and answer reliability.”

“Senior GTM and marketing executive with 20+ years leading growth strategy across Fortune 500 brands and startups in sectors including automotive, telecom, retail, finance, and logistics. Notable highlights include leading an automotive GTM initiative tied to $200M+ opportunity capitalization, serving as CMO for a $550M organization, and creating a novel embedded insurance product for a marketplace that later became an industry standard.”

“ML engineer with production experience at Goldman Sachs and Medtronic, focused on real-time AI systems in fraud detection and healthcare. Brings a rare mix of backend ML infrastructure, MLOps, and product-minded UX thinking, including dashboard and API design that made complex model outputs usable for analysts and clinical users.”

“Frontend engineer with experience building real-time trading operations dashboards in React and TypeScript, focused on dense operational data, performance tuning, and maintainable component design. They have production experience optimizing large-data UIs and academic exposure to map-based weather applications using Google Maps and Mapbox, while currently requiring future H-1B sponsorship.”

Michael Yudanin

Screened

Director-level Engineering Leader specializing in AI/ML and enterprise software

San Ramon, CA19y exp

“Engineering leader with 20+ years of experience who still codes daily, currently directing AI-driven knowledge management systems at eGain. He stands out for combining large-scale people leadership with deep technical ownership of LLM/NLI pipelines and for a track record of turning complex operational problems into high-impact systems, including a manufacturing platform that boosted throughput 4x and expanded across 11 plants.”

“Staff software engineer at Indeed specializing in high-scale financial and invoicing platforms, including a major 8-team migration that moved invoicing for $6B in revenue to a new accounting vendor. Combines deep distributed-systems experience with pragmatic technical leadership and has also built AI bots that cut SDLC lead time from 20 days to under 7.”

“Built and productionized an LLM-powered clinical assistant at a healthcare startup, re-architecting a prototype into a robust RAG system on AWS with guardrails, citations, monitoring, and automated tests for clinical reliability. Works closely with clinicians to convert workflow feedback into evaluation criteria and iterative system improvements, and has hands-on experience debugging agentic systems in real time (including during live client demos).”

“Backend engineer focused on scalable, security-first platform architecture—recently built an end-to-end centralized access-control system that launched successfully with ~50k early adopters and was designed to support ~10x traffic growth. Experienced in production authn/authz (token verification, handoff/session migration), and in de-risking migrations via feature flags, phased rollouts, A/B testing, and Splunk-based monitoring.”

“Backend engineer with hands-on experience building Flask REST APIs (auth, CRUD, S3 media uploads) and driving measurable Postgres/SQLAlchemy performance gains (p95 reduced to 200–400ms by eliminating N+1s and switching to keyset pagination). Implemented multi-tenant isolation with strict tenant scoping plus Postgres RLS, and built an OpenAI-powered quiz generation pipeline using queued workers, structured JSON outputs, and Celery/Redis optimizations to stabilize high-throughput workloads.”

“CMU candidate with hands-on experience taking LLM concepts from research prototypes toward production-ready designs (structured outputs, guardrails, failure-scenario evaluation). Also partnered with sales/customer teams at Mazecare to drive adoption with Dontia Alliance (largest dental clinic chain in Singapore) and engaged Singapore government stakeholders, bridging clinical workflow needs with IT security/integration concerns.”

“Built and deployed an on-prem, HIPAA-compliant LLM pipeline for oncology-focused clinical note generation and decision support, emphasizing grounded differential diagnosis and explainable reasoning via RAG to reduce hallucinations. Also created a LangGraph-based multi-agent academic paper search system integrating Tavily, arXiv, and Semantic Scholar with an orchestrator that routes tasks to specialized sub-agents.”

“Sourcing/procurement-focused candidate who owned vendor selection and risk planning for an IoT pressure/temperature gauge prototype, partnering with a procurement expert on negotiations. Demonstrates strong operations/process mindset by fixing a sales-to-production handover bottleneck with a simple checklist and managing milestones via master trackers and RACI.”

“JavaScript/React-focused engineer with meaningful open-source impact: redesigned cache key normalization for a client-side data fetching/caching library using deterministic hashing, added robust test coverage, and collaborated closely with maintainers through GitHub PRs/issues. Also drives measurable runtime improvements by profiling hot paths, refactoring core abstractions, and validating with benchmarks/load tests; has taken ownership of unowned initiatives like improving relevance/ranking in an internal search platform.”

“Built a production LLM-powered RAG agent for healthcare/insurance operations that retrieves and summarizes patient medical documents with grounded citations, scaling to ~4.5M records. Addressed medical shorthand and terminology by fine-tuning ~120 lightweight DistilBERT models by specialty and validating entities against SNOMED/RxNorm, while using SHAP/LIME and human-in-the-loop review to make decisions explainable to stakeholders.”

“AI engineer with production experience building a high-accuracy (98%) fraud detection system operating at real-time latency (1–2s) over millions of transactions, using a multi-model pipeline approach to meet performance constraints. Also implemented Airflow-orchestrated workflows (DAGs, retries, alerts) to replace brittle cron scripts and is currently pursuing a master’s project on real-time ASL-to-text conversion.”

“Lifelong basketball player with extensive exposure to elite Southern California high school basketball (Servite/Trinity League) and familiarity with college recruiting through close connections, who applies a structured PFF-style evaluation lens to scouting. Comfortable identifying talent via film and in-person viewing and proactively engaging prospects through social media outreach; also brings experience working demanding overnight/on-call schedules from Amazon last-mile logistics.”

“Data/analytics professional with experience across manufacturing and enterprise environments (Wisconsin School of Business project with CNH Industrial; roles/projects at Ascensia Technologies, S&C, and Adobe). Has hands-on work combining warranty/lifecycle tables with technician free-text notes using TF-IDF + tree models (XGBoost/Random Forest), and deep experience in entity resolution/reconciliation across mismatched financial systems using Python/SQL and fuzzy matching, with production-grade pipeline practices in Azure Data Factory/Databricks.”