Vetted Automation Professionals

Atharv Sankpal

Screened

Mid-level Data Analyst specializing in financial and healthcare analytics

Baltimore, MD4y exp

“Analytics professional with experience at JPMorgan and Deloitte, focused on financial and risk data. They stand out for building scalable SQL/Python data pipelines, KPI and forecasting dashboards, and retention/cohort metrics that improved reporting reliability, forecast accuracy, and planning speed.”

“Outbound-focused candidate with experience spanning EV charging/business development and e-commerce agency outreach. They combine cold calling, digital marketing, and message testing to generate qualified conversations, including booking local business owners to speak with a CEO about EV charger installation and app-host partnerships.”

“Currently serving as VP of Technology since January 2025, this candidate was brought in to build a fintech lending platform from the ground up, including hiring a global team and delivering a unified AI-enabled platform. They combine executive-level ownership with hands-on architecture work, including a customer-facing document agent and Plaid integration, and emphasize pragmatic AI adoption tied to measurable engineering productivity.”

George Toutoungi

Screened

Executive operations leader specializing in CPG, SaaS, and logistics

New York, NY11y exp

“Operator-first leader with experience spanning startup analytics, GM/COO-style P&L ownership, and operational transformation in high-growth environments. Built the analytics backbone at Point Pickup, partnered with PE on unit economics, and at Manic Panic drove 20%+ YoY revenue growth while cutting OpEx 17%+ by installing SOPs and better procurement forecasting.”

“Frontend engineer who built a multi-tenant unified login experience in Next.js/React/TypeScript serving four lines of business, including passkeys, MFA, and AI-powered internationalization. They also drove a major production performance win by redesigning tenant resolution with Redis edge caching, cutting TTI from 2 seconds to 300ms while adding fail-safes for reliability.”

Nanyie Temlong

Screened

Director-level Product Executive specializing in enterprise SaaS, AI, and cloud modernization

Washington, DC17y exp

“Product leader focused on enterprise AI and data platform transformation, with a track record of rebuilding mission-critical analytics systems into governed, cloud-based platforms that delivered about $40M ROI. Particularly strong in trustworthy AI product design—combining governance, explainability, and human-in-the-loop workflows—and in leading cross-functional teams to ship high-impact enterprise products.”

“Exited founder who spent 12 years building and operating The Konery, scaling it from a parents’ kitchen into a nationally distributed CPG manufacturing business in Brooklyn and selling it in 2025. Deep hands-on operator with end-to-end CEO experience, including doubling capacity through machinery implementation and running SQF certification for five years with two perfect audits.”

“Music editor/composer working in Pro Tools and Cubase with experience on BBC's "Mammals" (including BTS segments), shaping documentary storytelling through stem-based edits, custom tension builds, and thematic payoffs. Blends technical mix discipline (headroom, -13 to -15 LUFS targets, QC) with hands-on sound design—recording and transforming original sounds into bespoke SFX using synths, plugins, and pedals.”

“Backend/ML engineer who built an end-to-end greenwashing detection system for corporate ESG reports: Python preprocessing pipeline, logistic regression + fine-tuned DistilBERT models, and a Dockerized FastAPI inference service optimized for latency. Internship experience maintaining GitLab CI/CD for TypeScript services (Jest/Playwright), improving pipeline stability and test determinism; familiar with Kubernetes/GitOps concepts and AWS CLI/SSO.”

“Built a production internal LLM/RAG assistant at CVS Health to cut time spent searching long policy and clinical guideline PDFs, combining fine-tuned BERT/GPT models with FAISS retrieval and a FastAPI service on AWS. Demonstrates strong real-world reliability work (document cleanup, hallucination controls, monitoring/drift tracking with MLflow) and close collaboration with non-technical clinical operations teams via demos and feedback-driven iteration.”

“Former mechanical engineering professional who pivoted into business development and drove major international growth through strategic partnerships (helping scale headcount from a few to 300+ in 2–3 years). Now finishing an MBA (graduating in May) and building a recruiting/hiring-manager-focused product—prototype complete, validating demand, and aiming to launch an MVP within ~2 months before fundraising.”

Prasanth Sai

Screened

Mid-level Data Engineer specializing in cloud lakehouse/warehouse pipelines

4y exp

“Data engineer with HCA Healthcare experience building and operating end-to-end AWS-based pipelines for clinical and operational reporting (50–100 GB/day), serving curated data into Redshift/Snowflake for Power BI/Tableau. Emphasizes production reliability (Airflow SLAs/retries/alerting, logging/observability) and strong data quality controls (reconciliations, schema/null/duplicate checks), and has shipped versioned REST APIs to expose warehouse data to downstream systems.”

Medi Val

Screened

Executive technology leader specializing in AI, digital strategy, and business transformation

Toronto, Canada25y exp

“Candidate reports being highly familiar with the venture capital and accelerator landscape, citing past experience working with VC-related environments at WINR Games and BioSymetrics. The interview ended early when the candidate withdrew their application, so detail is limited.”

Ashrita Mishra

Screened

Mid-level Data Analyst specializing in analytics, ETL, and cloud data platforms

Jersey City, NJ4y exp

“Data analyst with 4 years of experience spanning banking and retail/marketing analytics. Has hands-on experience building churn analytics pipelines in SQL and Python, optimizing large-query performance, and turning stakeholder-aligned metrics into recurring dashboards and business actions.”

“Aspiring founder focused broadly on the AI space, with no startup yet and novice familiarity with venture capital and accelerators. They are actively acclimating to the startup ecosystem through hackathons and meetup groups and express a strong all-in commitment to entrepreneurship.”

Meet Vyas

Screened

Mid-level Software Engineer specializing in full-stack systems and AI applications

Tempe, AZ3y exp

“Software engineer with 3 years at Gap Inc. who led a major modernization from monolith/legacy frontend to a React and Spring Boot microservices architecture, delivering 25% cost savings, 30% faster releases, and 50% performance gains. Also built a 0→1 startup product, MealShare AI, using managed cloud services to rapidly launch a real-time food redistribution platform.”

“Engineer focused on AI-assisted software development and enterprise legacy modernization, with hands-on experience designing multi-agent workflows for code analysis, business logic extraction, BRD generation, and validation. Stands out for combining prompt design and agent orchestration with strong engineering discipline, including testing, CI/CD, and human review checkpoints.”

“Public sector sales leader with deep experience selling AI traffic management solutions to municipal, county, and state agencies. At FlowLabs.ai, they grew revenue from $1.5M to $7.5M in less than a year, built a scalable government sales process, and managed 40+ client relationships while navigating complex procurement and rescuing a high-stakes UDOT deployment.”

Muhammad Ali

Screened

Senior Full-Stack Engineer specializing in cloud-native FinTech and AI systems

Virginia, USA9y exp

“DevOps-focused engineer with 8 years of hands-on experience in early-stage startup environments, working on small teams to modernize CI/CD and Kubernetes deployments. They report reducing release times from hours to minutes, improving reliability and production recovery, and building backend APIs and automation for an internal SaaS platform shaped by security, scale, and compliance requirements.”

“Infrastructure/Platform engineer with deep production ownership of large IBM Power/AIX estates (70 LPARs, dual VIOS, HMC across two data centers), including live DLPAR tuning and PowerHA clustering for Oracle/WebSphere. Also brings modern DevOps/IaC experience—built GitHub Actions pipelines deploying to Kubernetes with OIDC/Vault secrets and implemented Terraform to provision AWS EKS/VPC/IAM/ALB/RDS with drift detection and controlled rollouts.”

“Serial healthcare entrepreneur who has founded three ventures across nuclear pharmacy and radiology/imaging, including building a nuclear pharmacy in a 500-mile underserved region and personally managing NRC regulatory compliance. Also built an early virtual radiology practice with remote radiologists and SaaS-only infrastructure, using a highly metrics-driven approach to opportunity assessment and capital formation via strategic partnerships.”

Rocky Vienna

Screened

Executive Technology & Operations Leader (CIO/CTO/COO) specializing in PE value creation

10y exp

“Operations transformation leader with private-equity due diligence experience who rebuilt KIO Networks’ operating model using ITIL/COBIT/ISO 27001, stood up a PMO, and standardized tooling across countries—helping shift the business from co-location to managed services/cloud and improving EBITDA from -7% to +4% in 18 months. Also serves as a board member/mentor at EvoNexus and UCSD Rady, coaching founders on ICP, GTM, pricing, and investor readiness.”

“Experienced tech operator who has spent years transforming and rebuilding software foundations inside companies, and has developed a sharp point of view on the shortcomings of legacy accounting software. Currently building an internal portal to unify CRM data while implementing DevOps and AI-assisted development practices, with a longer-term vision for a modern accounting CRM/platform with integrations, APIs, marketing, and telephony built in.”