Vetted Stakeholder Communication Professionals

Peter Gluck

Screened ReferencesStrong rec.

Principal Software Engineer specializing in scalable, secure multi-platform systems

La Crescenta, CA14y exp

“Engineering leader and former CTO/Disney|ABC engineering manager who built white-label mobile app architecture that supported a branded app and successful exit, and later scaled Disney Channel brand app teams across iOS/Android/web and major OTT platforms. Led kid-safety architecture for DisneyNOW (“Junior mode” with PIN) and partnered with product/legal on COPPA compliance, emphasizing maintainable tech choices and strong execution processes.”

Neel Sen

Screened ReferencesStrong rec.

Executive product leader specializing in AI, platforms, and growth

Florham Park, NJ13y exp

“Innovation leader with 8 years managing Verizon's innovation arm, working closely with venture teams, innovation studios, and early-stage startups across multiple markets. Currently building a homeowner-focused AI startup with a working backend prototype using LLM and multimodal AI, combining enterprise product lifecycle experience from Cisco with 0-to-1 venture building.”

“Former McKinsey consultant with MBA consulting experience who led financial/budgeting work and helped shape a nonprofit fundraising GTM strategy. Built targeted corporate outreach, tailored messaging by stakeholder, and used HubSpot-driven pipeline tracking to help secure roughly $50K in partner funding.”

“Engineering leader and hands-on architect from Sony Pictures Entertainment who has led large-scale platform modernization, digital supply chain delivery, and multiple GenAI/RAG initiatives in media and rights-management domains. Notable for combining people leadership with deep AWS/LLM architecture work, including a 1M+ record GenAI title search system and AI-driven contract insights that reportedly helped unlock a 20% revenue increase.”

Brian Sanders

Screened

Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines

Chicago, IL12y exp

“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”

Madhurya Taneja

Screened

Mid-level strategy consultant specializing in private equity and investing

Delhi, India5y exp

“Candidate appears to operate at the intersection of founder sourcing, early-stage company evaluation, and hands-on growth support. They combine investor-style discovery with practical execution—using tools like PitchBook, Crunchbase, Notion, and Airtable, and have examples spanning AI/robotics and fintech where cold outreach led to founder relationships, customer opportunities, and marketing initiatives.”

“Senior finance and risk transformation leader with 25+ years across top-tier global banks including Morgan Stanley, Goldman Sachs, and Citi. Stands out for leading high-stakes regulatory, governance, and model risk programs—ranging from consent order remediation to Basel RWA analysis and firmwide model inventory buildouts—with measurable impact such as managing $200B in retail exposure mapping and earning a CFO excellence award.”

“Full-stack engineer with strong startup experience across small distributed teams, owning everything from React UIs to Go services and Python data pipelines. He stands out for designing stable APIs and data models in ambiguous compliance-heavy environments, with measurable impact including a 38% reduction in manual cleanup and a 27% drop in customer-visible incidents. He has also worked deeply in B2B SaaS at Ashby, supporting mission-critical recruiting workflows where data correctness, permissions, and integration stability were essential.”

“Engineering leader (ActiveCampaign, Yalo) with a track record of scaling both systems and orgs: grew an engineering team from 90+ to 200+ (30+ scrum teams) while re-architecting a marketing automation platform from batch to near real-time. Led major infrastructure shifts (RabbitMQ to Kafka, multi-region redundancy) and reports outcomes including 600%+ throughput gains, 99.99% uptime, and business growth from ~80K to 185K customers with revenue surpassing $200M over ~3 years.”

Kaushik Mukherjee

Screened

Executive technology leader specializing in search, ads, and data/AI platforms

Bangalore, India

“Engineering/technology leader with payments (UPI) scale experience who built fraud and growth systems for tens of millions of daily transactions while keeping CAC and cost guardrails. Scaled an engineering org from 12 to 155 in a year using platform + pod structures, and institutionalized canary deployments with auto-rollback (cutting degradations ~75%) while leveraging GenAI for code and test automation.”

Pavithra Kollu

Screened

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and search systems

San Francisco, CA5y exp

“Backend/ML infrastructure engineer with experience at Perplexity and Meta building production evaluation, monitoring, and retrieval systems for AI search, autonomous agents, and LLM-powered workflows. Particularly strong in turning messy manual quality-review processes into reusable Python/FastAPI automation with measurable impact, including major gains in search relevance, latency, and grounded answer quality.”

Vinay Ramrupe

Screened

Mid-level AI/ML Engineer specializing in LLM and enterprise generative AI

San Francisco, CA5y exp

“ML/AI engineer focused on taking LLM systems from experimentation to reliable production, including enterprise copilot and RAG-based knowledge retrieval use cases. Stands out for combining data pipelines, model training, inference optimization, automated evaluation, and safety guardrails, with cited impact including 20% throughput gains and 30% less manual evaluation effort.”

“Full-desk recruiter who has owned end-to-end searches (example: Senior Business Intelligence Engineer) and operates in high-throughput environments with multiple shifting reqs. Differentiates through hands-on process unblocking (notably interview scheduling) and a metrics-driven approach—tracking inclined/conversion rates by stage to balance pipeline health and drive offers to close.”

Steve Black

Screened ReferencesStrong rec.

Principal Product Manager specializing in consumer engagement, AI, and connected fitness

Laguna Beach, CA15y exp

“Product leader with experience across Nike, Adidas, Bowflex, and startups, including serving as the first digital product hire at FluidLogic. Stands out for launching a connected hardware-plus-software product from zero to one in just 90 days, while also building AI-powered consumer features and aligning the entire company around digital strategy.”