Vetted Cross-Functional Collaboration Professionals

“BI/analytics candidate with healthcare and product analytics experience spanning Honor Health and ASU. They’ve worked on messy multi-system hospital supply data and also owned analytics for an AI-powered tax assistant, with quantified outcomes including 97% faster search, 92% retrieval accuracy, 30% fewer ad hoc procurement requests, and 15% lower operational cost.”

“Growth marketer with strong end-to-end ownership across messaging, experimentation, and funnel systems for complex products and international expansion. They combine customer research, cross-functional sales/product alignment, and marketing automation to drive measurable outcomes, including 18% MoM customer acquisition growth, 40% lower MQL-to-SQL friction, and a 24% lift in SQL-to-opportunity conversion.”

Sri Mounika Jammalamadaka

Screened

Mid-level AI/ML Engineer specializing in GenAI, LLMs, and data platforms

Fairfax, VA6y exp

“Built and helped deploy a production RAG-based LLM assistant for HVAC anomaly diagnostics, partnering closely with field engineers and operations teams to make AI outputs trustworthy in real workflows. Stands out for practical post-launch optimization work—improving retrieval quality, reducing hallucinations, and stabilizing non-deterministic behavior—which contributed to roughly a 40% reduction in diagnosis time.”

“Software engineer currently building for a wealth management platform, with hands-on ownership across React/TypeScript front ends, Azure serverless backends, and SQL data systems. Stands out for turning hackweek concepts into production features, building observability infrastructure from scratch, and delivering measurable gains in latency, uptime, incident response, and client satisfaction.”

Jordan Griffin

Screened

Mid-level campaign manager specializing in ad operations and digital media

New York, NY6y exp

“Candidate comes from a large advertising campaign/client-facing environment rather than pure outbound sales, but demonstrates strong transferable strengths in stakeholder management, personalized communication, and performance-driven iteration. They regularly coordinate high-priority campaigns with senior client contacts and internal teams, tailoring updates and recommendations by audience to maintain alignment and trust.”

Brandon Bolds

Screened

Senior Project/Program Manager specializing in enterprise transformation and supply chain

Ardmore, PA15y exp

“Project leader who transitioned from government contracting, manufacturing, construction, and disaster recovery into enterprise SaaS implementations. Most recently served as a senior PM at Logic Factory leading complex supply chain optimization and logistics transformation programs for Fortune 500 clients like Kraft Heinz, Carvana, Amtrak, and Herbalife, including a 3-year, $4M implementation.”

“Full-stack web developer with experience building sophisticated browser applications in three very different domains: e-commerce for agents/farmers, AI-assisted medical imaging for Alzheimer's detection, and factory shopfloor management. Particularly notable for owning a complex manufacturing UI with real-time data, dashboards, alerts, and a microservices/event-driven architecture approach.”

“Full-stack engineer who built an early-stage social platform for scriptwriters (Scriptscape) from scratch, owning everything from React Native/React UX to Node/Postgres APIs and AWS deployment. Demonstrates strong production-minded engineering with CI/CD, observability, and scalability patterns (cursor pagination, indexing, background jobs), plus experience hardening flaky third-party integrations with idempotency and backfills.”

“Product/UX designer with experience digitizing Penske trucking operations and Ridecell fleet lifecycle/workshop orchestration systems. Designs complex, high-liability industrial workflows using a state-driven interaction model and a calm, high-clarity visual language, backed by targeted field research with drivers and ops teams and strong collaboration with engineers (React/Tailwind, Storybook, code-linked prototypes).”

“AI engineer who shipped a production KYC facial liveness/recognition pipeline (10k+ monthly verifications), including an on-prem, GPU-hosted Qwen3-VL vision-language fallback to detect spoofing/replay attacks. Also helped build a deterministic multi-agent orchestration layer powering a marketplace with Solana on-chain payments, abstracting blockchain complexity behind an API, and has experience translating real-world needs from non-technical stakeholders (construction) into practical document-reading solutions.”

“Senior Data Scientist in consulting who has built production RAG systems for insurance/annuity document search at large scale (100K+ PDF pages), emphasizing grounded answers, guardrails, and low-latency retrieval. Experienced in end-to-end MLOps for LLM apps—monitoring, evaluation sets, drift handling, and safe rollouts—and in orchestrating complex pipelines with Prefect/Airflow and deploying services on Kubernetes.”

“Backend/AI engineer who has shipped production LLM systems end-to-end, including an AI request-routing service (FastAPI + BART MNLI + OpenAI/Gemini) that improved accuracy ~25% after launch via eval-driven prompt/category iteration. Also built an enterprise document intelligence/RAG platform on Azure (Blob/SharePoint/Teams ingestion, OCR/NLP chunking, embeddings in Azure Cognitive Search) with PII guardrails (Presidio), confidence gating, and scalable event-driven pipelines handling millions of documents.”

“Enterprise CSM with strong integration and expansion experience, including standing up a full Salesforce integration in ~2 weeks and using benchmark-driven success plans to materially improve renewal performance. Demonstrated land-and-expand impact by growing an account from $24k to $240k ARR and influencing product development (QuickBooks integration) to remove customer friction and support contract extension.”

Likhith Kumar Yaramala

Screened

Junior Backend/Cloud Software Engineer specializing in microservices and DevOps

India2y exp

“Cloud/DevOps-focused engineer with strong Linux production operations experience, deploying microservices to AWS on Docker/Kubernetes. Has built and operated secure CI/CD (GitHub Actions/Jenkins) and Terraform IaC workflows with approvals, remote state, and drift detection, and has hands-on incident recovery experience in containerized environments; limited direct IBM Power/AIX/PowerHA exposure.”

“Engineering leader/player-coach who redesigned A/B testing and observability infrastructure for real-time audio/video features at 90M+ DAU scale, using Kafka-based ingestion and horizontally scalable aggregation for near real-time metrics. Managed 10–15 engineers, drove >20% infrastructure cost reduction without user-experience regressions, and led major peak-traffic incident response with lasting reliability improvements (load testing, capacity planning, alerting, pre-mortems).”

Jason Sipula

Screened

Executive Technology Leader & Strategic Architect specializing in cloud-native platforms

Sacramento, CA15y exp

“Technology leader with experience driving multi-year transformations at Jewelry Supply, including migrating a legacy custom e-commerce platform to SaaS and leading a 3-year ERP program from requirements through implementation and training. Also led a major architecture shift from self-hosted virtualized infrastructure to cloud Kubernetes with a strong DevOps/DevEx focus, emphasizing stakeholder buy-in and scalable processes for distributed engineering teams.”

Cody Feda

Screened

Principal Full-Stack Engineering Leader specializing in forward-deployed SaaS platforms

San Francisco, CA14y exp

“Hands-on builder and workshop facilitator focused on getting LLM/agentic and dev-tools products from prototype to production. Has delivered iterative production deployments for a construction client (estimating/invoicing on EC2), debugs LLM regressions with monitoring plus prompt optimization, and has facilitated multiple developer workshops while helping founders improve onboarding and time-to-first-success using tools like PostHog.”

Mikhail Sharapov

Screened

Senior Game Designer specializing in gameplay systems, progression, and mobile core loops

Buenos Aires, Argentina8y exp

“UE5 gameplay/animation scripter who built a shipped, data-driven modular third-person locomotion framework primarily in Blueprints, owning animation blueprint logic, movement-state architecture, and designer-facing tunables. Addressed shipping-quality issues like animation popping/state desync under rapid direction changes and network-latency simulation using buffered transitions, velocity smoothing, and debug visualization, while aligning data flow/ownership with engineering, animation, and QA.”

Sufyan Shaikh

Screened

Director of Growth Marketing specializing in multi-channel acquisition and attribution

Remote, Canada9y exp

“Growth and partnerships leader spanning creator ecosystem and B2B SaaS GTM. Drove measurable revenue outcomes by combining performance-based creator deals (including whitelisting/retargeting and geo lift testing) with a repeatable demand engine using Google Search, LinkedIn ABM, AI-personalized outbound, and HubSpot automation—scaling MRR from $15K to $110K and lifting trial-to-paid conversion from ~3.4% to ~9% via persona-based onboarding.”

“Full-cycle sales candidate in the real estate/multifamily space who has exceeded a $150K monthly net revenue quota for the past 3 months. Stands out for combining high-volume outbound execution with detailed building-operations knowledge, allowing them to tailor messaging to owners, property managers, and operations leaders and win meetings through consultative, highly personalized outreach.”

Andrew Franz

Screened

Intern sports marketing professional specializing in athlete partnerships and sponsorships

Kernersville, NC2y exp

“Baseball-lifelong candidate with hands-on exposure to athlete representation through internships at Rosenhaus Sports Representation and Covenant Sports Group. Has already helped players with NIL deals, recruiting conversations, and summer-ball placement, including one player who joined a top summer team and committed to Wake Forest three months later.”

“Unity/C# engineer with hands-on ownership of a server-backed resource loading pipeline that kept build size small, preserved UI responsiveness via parallel services, and handled dynamic asset replacement with ghost objects and memory cleanup. Also brings a pragmatic, architecture-first approach to AI/LLM integration, emphasizing provider abstraction, testing, cost control, and guardrails for hallucinations.”

“Works in airline day-of-operations scheduling, where they manage flight attendant schedule modifications under tight time constraints and FAR regulations. Their experience centers on preventing crew legality violations, coordinating with controllers and pilot teams, and using schedule codes to ensure delay-related pay is captured accurately.”

Meghana Divve

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native enterprise applications

Tampa, FL6y exp

“Built and launched a production internal AI support assistant at CompuCom, focused on reducing time spent searching across systems by combining retrieval, internal tool use, and grounded LLM responses. Stands out for pragmatic zero-to-one execution: scoped the product in phases, prioritized safety over premature autonomy, and iterated using real user feedback to improve relevance, usability, latency, and cost.”