Vetted Reporting Professionals

“Backend/platform engineer with strong ownership of production systems, including a full Azure migration from a VM-based monolith to a containerized, event-driven microservices architecture. They combine cloud infrastructure, LLM/RAG optimization, and pragmatic stakeholder management, with measurable wins including 90% infra cost reduction, faster deployments, and significantly improved latency and token efficiency.”

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.”

“Performance marketer managing multiple high-spend accounts across Grouped Stalls and Donor Media, overseeing $100K+/month across Google Ads (Search/Shopping/Display/YouTube), Microsoft Ads, Meta, TikTok, and affiliate networks (Rakuten, ShareASale). Experienced in both e-commerce (ROI/ROAS-driven) and lead generation (CPL/CPA-driven) programs, with a structured A/B testing and budget reallocation approach grounded in statistical significance and MoM/YoY analysis.”

Vedant Singh

Screened

Junior Cloud Platform Software Engineer specializing in AWS, Kubernetes, and CI/CD

Concord, CA2y exp

“Cloud/platform engineer with hands-on delivery across Azure and AWS, including standing up a CIS-compliant Azure environment and integrating Azure OpenAI Foundry to automate finance invoicing. Has scaled platform capabilities across large org footprints (dynamic CI/CD pipelines for ~94 teams across 200+ repos) and replaced a $1M/year vulnerability patching vendor by building an internal AWS-based patching and monitoring solution for ~1000 servers.”

“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.”

“Applied AI/ML engineer with hands-on production experience building a RAG-based AI assistant for pharmaceutical maintenance troubleshooting using LangChain + FAISS/Pinecone, including a custom normalization layer to handle inconsistent terminology and duplicate document revisions. Also built Airflow-orchestrated pipelines for document ingestion/embeddings and predictive maintenance workflows (SCADA ETL, drift-based retraining), and partnered closely with production supervisors/quality engineers via Power BI dashboards and real-time alerts.”

“MarTech-focused enterprise CSM/strategic account leader with 7 years advising enterprise retailers, specializing in discovery-to-conversion workflows and API-driven integrations. Demonstrated ability to turn transactional vendor relationships into strategic partnerships using Tableau/Looker insights, cross-functional execution with Product/Engineering, and measurable outcomes (25% revenue lift, 15% YoY growth, 35% faster deployments) that support renewals and expansion.”

Jade Butler

Screened

Senior Talent Acquisition & Recruitment Leader specializing in full-cycle hiring and onboarding

Jersey City, NJ16y exp

“Recruiting leader who managed 12 direct-report technical and corporate recruiters, focused on developing recruiter capability (training, coaching, candidate management) and driving strategy execution. Partnered closely with HRBPs on learning & development planning and implemented an ATS workflow change that improved hiring-manager feedback speed and candidate experience. Comfortable engaging executive stakeholders on sensitive compensation/incentive decisions.”

Sonam Chhatani

Screened

Mid-level AI Engineer specializing in causal inference and LLM research

New York, USA8y exp

“LLM engineer who has deployed a production system combining LLMs with causal inference (DoWhy) to enable counterfactual “what-if” analysis for experimental research, including a robust variable-mapping/validation layer to reduce hallucinations. Also partnered with non-technical operations leadership at Irriion Technologies to deliver an AI-assisted onboarding workflow that cut onboarding time by 50% and reduced manual errors by ~40%.”

Alex Kubicek

Screened

Senior Performance Marketing Manager specializing in paid media and growth acquisition

Atlanta, GA17y exp

“Paid media performance marketer with experience running $50K+/month Meta/Instagram campaigns in healthcare (revision bariatric surgery), optimizing for patient CAC and booked surgeries rather than just CPL. Uses creative-first testing (testimonial/video-led) and conversion signal feedback via Meta Pixel + Conversion API, and applies a structured full-funnel budget allocation approach across Meta/Google/TikTok.”

“Early-stage venture/accelerator operator and co-founder (Decade Ventures) with a systems-driven approach to high-volume founder sourcing and pipeline management. Built non-obvious dealflow channels via international trade missions and embassy networks (Canada, Israel, Netherlands, Singapore, Australia) while running a corporate accelerator at Spring (UK water-sector innovation center). Strong in founder discovery, evidence-based evaluation, and creating standardized partner updates that reduce decision friction.”

“Analytics candidate with hands-on experience turning messy retail/customer data into clean reporting tables using SQL and PostgreSQL, then extending the work into Python-based reusable analysis workflows. They have applied segmentation, cohort analysis, and retention metric design to support dashboards and improve targeting, engagement, and repeat purchase performance.”

“Performance marketer with 5 years managing paid search and YouTube for Disney theatrical and streaming releases, including an $8M YouTube budget for Moana 2. Brings rare large-scale entertainment media experience with strong full-funnel strategy, rigorous testing, and measurable results such as 949M impressions, 186M earned views, 40% engagement, and a 4% conversion rate.”

“Currently acts as a tech lead for a team of AI agents building a mobile application, with agents handling requirements, design, development, testing, documentation, and JIRA/Confluence updates. Stands out for combining multi-agent orchestration with strong human-in-the-loop review and a clear interest in AI governance and authorization controls.”

“Recruiting leader who manages a team of 3 and remains hands-on with high-impact executive searches. Experienced as a client-facing TA partner to HRBPs, hiring managers, and C-suite stakeholders, using talent mapping, competitive intelligence, and compensation/offer consulting to close critical roles. Drove measurable process improvement by streamlining an interview loop from 7 rounds to 3 to reduce candidate drop-off and improve time-to-fill.”

“Data/ML engineer from HCLTech who modernized enterprise data by linking fragmented financial and supply-chain data across SAP/SQL Server/Snowflake using NLP entity linking and embeddings (FAISS). Delivered measurable impact including ~40% reduction in manual error-log triage and entity-linking accuracy improvements from ~86% to ~93%, with results surfaced in Power BI for real-time analytics.”

“Full-stack/ML-leaning engineer who has shipped production-grade real-time analytics and an internal AI support assistant using RAG over enterprise documentation. Demonstrates strong systems thinking across scalability, reliability, observability, and LLM safety/evaluation (thresholded retrieval, RBAC, response validation, regression-gated evals), with concrete iteration based on performance metrics and user feedback.”

“Cloud/infrastructure engineer with strong production operations background across AWS, Azure, and Kubernetes, supporting 30+ enterprise workloads for ~40,000 users. Demonstrated incident leadership (hybrid AKS-to-AWS routing outage) with a reported 60% MTTR reduction, plus hands-on CI/CD (Jenkins) and Terraform-based IaC for AWS (VPC/EC2/EKS). Lacks direct IBM Power/AIX/PowerHA experience but emphasizes transferable ops and troubleshooting skills.”

Brad Marshall

Screened

Executive Technology Consultant specializing in Microsoft BI and Azure cloud migrations

29y exp

“Has experience working with venture capital firms evaluating target companies for potential acquisitions, focusing on technology maturity, technical stack, and team/human resources assessment.”

“Senior engineer with experience at Micro Focus/HPE (now OpenText) supporting enterprise customers on monitoring platform deployments, upgrades, and ongoing product use. Brings hands-on expertise in operations agents, agentless integrations, security-related upgrade troubleshooting, and cross-functional escalation with engineering to keep customer environments stable and successful.”

Bryanna Arreola

Screened

Senior Digital Marketing leader specializing in fashion e-commerce and brand growth

Los Angeles, CA8y exp

“CRM/lifecycle marketer with hands-on ownership of promotional campaign calendars and Braze-based welcome journeys across email and SMS. Demonstrates a structured execution process using Asana, plus practical personalization and testing experience that improved engagement and lifted AOV through product recommendations.”

Venkata Sai Niranjan Nadipineni

Screened

Senior Salesforce Developer specializing in Lightning and enterprise CRM

New Jersey, USA8y exp

“Salesforce-focused candidate with hands-on ownership of end-to-end Service Cloud automation, including Apex schedulable jobs for inactive portal user tracking, warning notifications, deactivation, and reporting. Demonstrates strong architectural judgment across Apex, LWC, and Aura, with particular strength in scalable design, performance optimization, and rigorous testing/debugging in complex Salesforce environments.”

“Healthcare software sales candidate with hands-on experience building outbound campaigns, refining ICP and messaging in a small, iterative environment, and selling AI-enabled EMR capabilities. Demonstrates strong consultative discovery in nuanced care settings like home health and home care, with measurable outbound results including a 12% reply rate, 5-10 demos, and 25% demo conversion.”

“Lifecycle/CRM marketer at Datazoic who builds post-onboarding activation and retention programs end-to-end, partnering with Analytics for behavioral segmentation and running rigorous A/B tests across messaging, timing, and CTAs. Also orchestrates cross-functional product feature rollouts (Product/Creative/Analytics) to align customer messaging with in-product experience, driving high engagement and fewer customer inquiries.”