Vetted Stakeholder Management Professionals

“AI/LLM engineer with recent production experience at UnitedHealth Group building an end-to-end RAG system over structured EMR data and unstructured clinical notes, including evidence retrieval, GPT/LLaMA-based reasoning, and a validation layer for reliability. Strong in orchestration (Kubeflow/Airflow/MLflow), prompt engineering for noisy healthcare text, and rigorous evaluation/monitoring with gold-standard benchmarking, plus close collaboration with clinical operations stakeholders.”

“B2B SaaS growth marketer who was the first marketing hire and built the foundational brand and acquisition engine from 0-to-1, using customer-journey mapping, rigorous channel testing, and strong cross-functional alignment. Has launched an existing product into a new adjacent market via a multi-channel campaign and optimized spend by prioritizing CAC, conversion, and lead quality. Also has experience marketing monetization/distribution platforms to creators and developers, emphasizing values-aligned messaging for the creator ecosystem.”

“Talent Acquisition/Recruiting Operations leader with 10+ years in TA and 6–7 years leading ops teams (up to 5 direct reports). Drove an enterprise-wide, global redesign of EchoStar’s recruiting and selection process, focusing on automation and process streamlining, and has led major HR/TA system implementations (Workday, Dayforce, iCIMS) across ATS/HRIS, onboarding, and payroll.”

“ML practitioner with hands-on experience in healthcare time-series modeling (CGM-based blood glucose prediction) including a novel ICA-based blind source separation approach and robust data-cleaning for noisy, missing sensor data. Also built an embeddings + LLM-powered podcast recommendation workflow using YouTube transcript scraping and Vellum AI document indexing, with a strong emphasis on production-grade engineering practices (TDD, monitoring) and realistic rolling validation for forecasting.”

“Operations/product-and-engineering leader who has repeatedly retooled early-stage/growing orgs (Open English, Metrc) to scale by implementing Scrum/Kanban, building metrics-driven decision systems, and upgrading teams with experienced product/engineering leadership. At Metrc, used data to drive executive alignment, established scrum teams and a 2-week cadence within 30 days, and helped burn down years of backlog/bugs while improving customer survey feedback within 3 months.”

“Senior enterprise architecture and engineering leader (Sr. Director / Principal Architect) who has owned enterprise IT strategy and governance for a $100M budget and partnered directly with C-suite stakeholders. Led a cruise-industry employee/crew digital transformation, scaling to 10 agile teams (~70 people) using SAFe/TOGAF and making architecture decisions optimized for low-connectivity environments (local database to avoid internet authentication).”

“HR/People leader with hands-on experience building HR infrastructure from scratch and driving adoption through collaborative change management. Strong labor relations background, including serving as a union-management liaison and supporting high-stakes contract negotiations with transparent, multi-scenario financial proposals to prevent strike action. Also applies people analytics to succession planning and coaches leaders to improve effectiveness.”

Ann-Marie Waterman

Screened

Executive Higher Education Administrator specializing in operations, finance, and enrollment management

Baltimore, MD29y exp

“Higher-education operations leader (Assistant Dean at Howard University School of Business; inaugural Associate VP of Student Affairs/Enrollment Management at University of the District of Columbia) known for rebuilding and modernizing internal operations under constraint. Delivered measurable results including sustaining fiscal integrity across three budget cycles post-staff reduction and improving admissions throughput (+25% applications, 50% faster decisions) through process re-engineering, automation, and cross-functional governance.”

Saniya Shinde

Screened

Mid-level Data Scientist specializing in NLP, LLMs, and RAG systems

Washington, DC4y exp

“Built and deployed a production-style vision-language pipeline that generates structured medical reports from chest X-rays using BioViLT embeddings, an image-text alignment module, and BiGPT fine-tuned with LoRA, delivered via Streamlit and hosted on AWS EC2. Also collaborating experience presenting EDA findings, feature importance, and model performance to Ford managers while working with vehicle parts data at Bimcon.”

Upasana Pandey

Screened

Senior Product Designer specializing in enterprise, AI-driven, data-heavy products

Dallas, TX6y exp

“Product/UX designer who has led end-to-end design systems for high-impact, multinational products—most notably a live African Union policy tracking platform used by 11 countries. Experienced translating complex, regulated workflows into intuitive experiences (including a gamified pediatric vaccination journey) and collaborating closely with engineers using component-based design systems and Agile delivery.”

Ravi Bijinepalli

Screened

Senior ADAS/Autonomous Vehicle Validation Engineering Manager

Columbus, Ohio8y exp

“Controls and automated-vehicle engineer from the EcoCar EV Challenge who led an 8-person team implementing ACC and lane-centering directly on a vehicle (1st place result). Strong in CAN-based debugging, simulation-to-real deployment (Simulink to C++/dSPACE), and distributed robotics communication using DDS, with additional exposure to multi-agent RL and control barrier functions for coordinated driving.”

Samantha Pinheiro

Screened

Mid-level Growth & Business Development Operator in Financial Services and Defense Tech

Remote3y exp

“Sales/business development operator who has repeatedly built outbound motions from scratch—most recently launching a B2B recruiting GTM at Pinnacle Private Credit, generating 50+ relationships, a $50K+ pipeline in 5 weeks, and closing 7 enterprise agreements with C-suite financial services stakeholders. Also co-founded a defense tech startup (multi-sensor aerial threat detection), led investor outreach to 100+ investors, and applies AI/ML both for outreach personalization (ChatGPT/Claude) and product work (sensor fusion/threat detection).”

Poorna Vishnu

Screened

Mid-level AI Engineer specializing in LLM workflows and agent-based systems

Texas City, TX4y exp

“LLM/agent workflow engineer with production experience at T-Mobile, focused on scalable agent architecture and robust real-time evaluation/monitoring pipelines. Partnered closely with marketing and product to automate customer engagement and other business workflows, translating AI capabilities into measurable KPI impact via dashboards and continuous performance tracking.”

Krishnamraju Penumatsa

Screened

Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines

Fort Worth, TX6y exp

“Data engineer currently at American Airlines who built and owned end-to-end flight operations and booking data pipelines (batch + real-time) using Azure Data Factory, Kafka, Spark/Databricks, Synapse, and Snowflake—processing hundreds of GBs/day. Strong focus on reliability and data quality (idempotency, checkpointing, retries, validation/alerts) and delivered near-real-time analytics powering Power BI dashboards; previously helped stand up an early-stage data platform at Sysco on AWS (Glue/S3/Redshift) with Airflow and Jenkins CI/CD.”

“Analytics professional with Bank of America experience analyzing the digital card replacement journey at scale, transforming 20M event records across 900K clients into actionable reporting and recommendations. Stands out for combining SQL/Python data engineering, customer journey analytics, and executive-facing storytelling strong enough to get senior leadership to adopt most of their proposed app improvements.”

“Analytics-focused candidate with experience owning end-to-end data projects across AI transcription, retail forecasting, and transportation revenue analytics. They combine strong SQL/Python pipeline skills with dashboarding and stakeholder alignment, citing measurable impact including 60% lower ETL latency, 18% better forecast accuracy, and 25% operational efficiency gains.”

Udirno Chaudhuri

Screened

Mid-level Data Analyst and Product professional specializing in FinTech and AI applications

Santa Cruz, CA4y exp

“Payments/product-focused operator with hands-on experience owning complex bank connectivity deployments at Paystand, including a migration that raised connection success from under 50% to 79%. Also built a production-grade multi-agent document intelligence system on AWS Bedrock for structured enterprise document extraction, combining real-world fintech domain pain points with modern LLM architecture.”

Michael Yeung

Screened

Mid-level Software Engineer specializing in FinTech trading platforms

San Francisco, CA4y exp

“Built and deployed internal trading tools at Wells Fargo that reduced manual production-support dependency for trader configuration workflows. Brings hands-on experience in financial systems, data quality, and production incident resolution, including building 400+ SQL validation rules and designing an internal RAG assistant for engineering documentation.”

“Lifecycle/CRM marketer with experience at Fandango and Young & Reckless, owning high-volume multi-brand campaign calendars and building Braze-based email/SMS/push journeys. Stands out for tying lifecycle strategy to measurable business impact, including 14% lift in email-attributed revenue, 18% CLTV improvement, and 22% higher activation through behavior-based experimentation.”

“AI/LLM-focused builder with internship experience at Curated, where they owned a voice AI support deployment end-to-end and built a RAG-based internal knowledge assistant. They pair practical production instincts with measurable outcomes, including a 30% reduction in human-handled support tickets, a 20-point NPS improvement, and a 40% reduction in manual document search across five teams.”

Michael Boaz

Screened

Senior Software Developer specializing in cloud-native and event-driven architecture

Atlanta, GA24y exp

“Built and shipped production LLM/agent systems on AWS for internal developer support and IT observability use cases, including a Claude-based support tool grounded in internal documentation and a cost-optimized ServiceNow integration. Stands out for combining agent design, cloud architecture, CI/CD, chaos testing, and observability to make non-deterministic systems reliable and maintainable in production.”

“Backend engineer with hands-on ownership of Spring Boot microservice deployments in Freddie Mac's mortgage workflow domain, including measurable gains in reliability and MTTR. Brings strong production debugging skills around distributed transaction pipelines and has also built a full-stack AI chatbot project using React, Express, and Google Gemini API.”

“Sales leader with multi-state revenue ownership in consumer services and partnership-driven growth, including turning HairClub into the top-performing region with 22%+ YoY growth. At Bluegreen Vacations, led complex retail partnership expansion across 40+ locations by building disciplined operating models, cross-functional alignment, and phased scaling strategies.”

“Former Harris County leader turned consulting partner with strong public-sector transformation experience, including a $2.5M Azure-based analytics modernization for Harris County Public Health and governance-heavy infrastructure work on the Harris County Flood Warning System. Also managed multiple concurrent quantum computing optimization and machine learning engagements, showing an unusual blend of government modernization, executive stakeholder management, and frontier-tech delivery.”