Vetted Artificial Intelligence Professionals

Jared Alessandroni

Screened ReferencesStrong rec.

Executive CTO specializing in AI, cloud platforms, and scaling SaaS products

21y exp

“NYC-based startup founder/CTO who sold products to Omnicom and Sprinklr, then built an AI-powered cultural insights engine inside Omnicom using AWS Lambda + ML to process ~1M items/day and reached ~$1MM ARR in year one. Former senior leader at Sprinklr managing 200+ people globally, delivering enterprise martech solutions with SLAs and high-reliability social data pipelines (Twitter firehose).”

“Senior enterprise and public sector sales leader with deep experience running large multi-country organizations across Latin America and the Americas, including $300M+ P&L ownership. At Motorola Solutions, they transformed a transactional sales model into a strategic solutions engine, growing revenue from roughly $55M to over $300M in two years while driving major market share gains and leading complex government modernization deals.”

“Senior executive-operations leader who has run CEO-office functions at BNY (Head of the CEO Office) and supported scaling leadership teams at Public as Chief of Staff to Co-CEOs/Head of People. Known for building operating cadences (MBRs, offsites), creating decision-driving templates, and executing high-stakes weeks combining board governance, CEO travel/client engagements, and external communications with strong discretion.”

“P&G operator who is also building and selling an AI receptionist (voice agent) SaaS for healthcare/service clinics, using EHR + calendar API compatibility to target accounts and letting the Voice AI run parts of the demo to prove value. Has already closed and deployed to two clients in the last two months, with production impact via reduced front-desk overhead and automated scheduling/FAQs, and brings a structured, scalable deployment/process mindset from global WMS rollouts.”

Alexander Altieri

Screened

Senior Corporate Lawyer & Strategic Advisor specializing in M&A and capital markets

New York, NY9y exp

“Corporate transactional/M&A attorney with private equity deal experience who runs cross-functional workstreams across tax, finance/lending, restructuring, and benefits, and is trusted as an "outside in-house counsel" for C-suite needs (board materials, equity, annual reports). Previously led day-to-day operations at a custom-apparel startup, automating fulfillment and scaling a nationwide campus-manager program (25+ hires) while improving fulfillment speed and driving $2M+ annual revenue growth.”

“Unity/C# gameplay engineer from Rec Room who owned end-to-end systems spanning downloadable avatar content delivery (Addressables + auth/CDN), build automation/CI for asset bundles, and creator tooling (Avatar Studio). Also implemented AI-driven localization and generative mesh features, and has deep multiplayer experience with Photon and Photon Quantum across VR (Meta Quest) and mobile platforms, citing a 20% retention lift from faster content delivery and customization.”

“Alliance leader with experience at both AWS and Equinix who built and commercialized multi-megawatt GPU/AI infrastructure opportunities in partnership with Oracle. Strong in structuring contract models (including Federal reseller scenarios), value-based negotiation to defend pricing, and navigating hyperscaler-style procurement (RFPs, security/compliance, multi-year budgeting) while coordinating architects/SEs and customer stakeholders.”

“Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.”

“Four-time founder with hands-on experience inside angel- and venture-backed executive teams, plus accelerator mentorship experience. Brings a practical, customer-validation-driven approach to company building, with strong insight into early-stage team dynamics and investor ecosystems.”

“Robotics/ML engineer with internship experience at Valeo building a deep-learning prototype to replace parts of a legacy SLAM backend for autonomous parking, focused on making models run reliably in real time on embedded hardware (quantization/distillation + TensorRT). Also brings strong MLOps/deployment experience (Docker, Kubernetes on AWS EKS, CI via GitHub Actions) and has supported patent filing by explaining the technical approach to legal stakeholders.”

“Commercial/GTN leader with GCP experience managing multi-year, multi-megawatt AI/GPU infrastructure commitments, owning segment P&L and governance for take-or-pay/reserved capacity. Drove a major client partnership scaling ARR from $50M to $100M in 18 months by aligning Product/Engineering, GTM, and infra teams and building flexible, margin-protective commercial structures. Known for speeding hyperscaler procurement/security reviews (FedRAMP/SOC2, IAM, data residency) and operationalizing multi-region delivery with landing zones and IaC.”

“Operations leader with experience scaling a fast-growing, startup-like government organization (tripled headcount in two years) by implementing OKRs, operating cadences, reporting structures, and decision/escalation frameworks. Has led complex process turnarounds (including a debt-collection overhaul with legal coordination and an appeals board) and advises executives on high-stakes public communications during critical-infrastructure cybersecurity incidents using data-driven decisioning.”

Ravikanth Kasamsetty

Screened

Executive AI/ML Engineering Leader specializing in cloud-native SaaS and GenAI platforms

23y exp

“Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.”

Dhaya Lakshminarayanan

Screened

Executive Operations Leader specializing in AI, climate tech, and high-growth organizations

San Francisco, CA20y exp

“Operator who has repeatedly stepped into founder-level, cross-functional ownership at startups—running full HR (recruiting, onboarding, benefits) with AI-driven process automation, and later serving as interim VP People & Culture during an executive transition. Also managed cap table, 409A, equity grants, and day-to-day investor relations, and built company-wide ELT goals/KPIs and operating rhythms tied to board-approved strategy.”

Sammy Datwani

Screened

Executive biotech leader specializing in microfluidics, diagnostics, and life science tools

Pleasanton, CA25y exp

“Biotech founder building a de-novo protein sequencing company, originally incubated by Versant Ventures and now focused on life science tools and clinical diagnostics. Has raised capital from institutional VCs, strategic investors, and a foundation, and brings unusual ecosystem depth through mentoring at IndieBio, Berkeley SkyDeck, and Biotools Innovator, plus board service with Life Science Angels and VC diligence advisory work.”

“Serial entrepreneur who has created several companies, brought them to market, raised as much as $15M, and achieved exits before moving on to new ideas. Combines an academic and institutional background spanning Harvard, MIT, Mass General Brigham, and the Department of War with two decades of consulting experience, and is especially motivated by building impactful technology.”

Aditya Sawant

Screened

Mid-level Software Development Engineer specializing in robotics and cloud-based device management

North Reading, Massachusetts3y exp

“Amazon Robotics engineer who deployed and scaled the Lumos camera-based package scanning work cell across EU sort centers (100+ work cells in 5+ sites), enabling remote launches via detailed runbooks and troubleshooting. Strong in AWS IoT/edge systems, with hands-on incident recovery (restored 34 down work cells) and secure multi-compute certificate provisioning using IoT Jobs, ACM/CA, and custom roles; delivered ~75% per-cell cost reduction vs Cognex-based approach.”