Vetted Data Science Professionals

“Backend/data engineer focused on AWS-based, low-latency event processing for market data and social-signal sentiment systems. Has led a monolith-to-event-driven migration with feature-flagged incremental rollout, and emphasizes production-grade security (OAuth2/JWT, secrets management, Supabase RLS) and data integrity (deduplication/idempotency) under high-volume spike conditions.”

“Candidate is targeting a CTO Venture Studio role and positions themself as a technical partner to founders rather than a founder personally. They demonstrate strong fluency in early-stage startup evaluation, especially around validating whether a product truly tests the business hypothesis and whether the underlying technology can scale significantly.”

Stephanie Freedman

Screened

Senior product specialist specializing in FinTech, legal tech, and enterprise SaaS

New Jersey, USA11y exp

“Product leader with experience rebuilding fintech/legal-tech products through direct customer research, especially in credit and restructuring workflows. She has shipped an NLP-driven restructuring risk product for public companies, improved adoption through UX simplification and training, and has worked across users ranging from junior analysts to law firm partners and managing directors.”

“Backend/data engineer with hands-on production experience across Azure and AWS: built FastAPI + PostgreSQL services with Azure AD OAuth2/JWT auth and strong reliability patterns (timeouts, retries, correlation IDs). Delivered AWS Lambda/ECS solutions with Terraform/CI-CD and cost controls (SQS buffering, reserved concurrency), and built/operated AWS Glue ETL pipelines into Redshift while modernizing legacy SAS reporting into Python microservices with parity testing.”

“Early-career engineer who built a self-directed production-grade security scanning/analysis pipeline that normalizes multi-scanner results, correlates CVEs, and uses an LLM to generate exploit hypotheses—then hardened it for real-world reliability (timeouts, confidence scoring, feature flags, graceful degradation). Also integrated a real-time audio ML model into Discord/Zoom and debugged intermittent latency/dropouts across Python inference, virtual audio drivers, and network jitter; experienced with IAM integrations (Entra ID/Salesforce) and cloud tooling (AWS/Docker/Kubernetes).”

Arpit Singh

Screened

Director-level Head of Technology specializing in e-commerce platforms and digital transformation

Dubai, UAE13y exp

“B2B product builder with prior experience taking products from 0-1 and scaling to revenue; previously implemented e-commerce search and turned it into a monetized paid-results/bidding platform requiring architectural changes and GTM alignment. Now exploring a startup idea focused on retention and upsell for B2B companies, targeting the underserved long-tail partner segment and already validating the gap with industry leaders and POC conversations.”

“Bootstrapped founder of FAMRO LLC with 15+ years spanning startups and corporate roles, including COO experience at an AI/ML startup that built a retail marketing analytics product using camera feeds. Also worked on a clean-tech venture, EnerIO, which won 1st position from Pakistan and was invited to pitch at the GCIP/GEF event in San Francisco in 2015.”

“Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.”

Gowhith Gandem

Screened

Intern Software Engineer specializing in distributed systems and backend engineering

Remote, USA1y exp

“Frontend engineer with hands-on experience building real-time collaborative and visualization-heavy React applications, including a document editor using WebSockets, Redis, and PostgreSQL. Demonstrates strong performance instincts, with a concrete example of reducing dashboard load time from 3.2s to 2.1s at MegaViz while improving responsiveness for streaming data interfaces.”

Jonathan Lee

Screened

Director-level Engineering Leader specializing in agentic AI systems

Austin, TX19y exp

“Engineering leader and hands-on architect who built a team from scratch and owned everything from architecture and security to DevOps and deployment. Has led sophisticated AI/agentic systems in legal-tech and operations, including demand-letter automation, news/content generation, and human-in-the-loop fax routing, while also guiding major infrastructure and enterprise telephony transitions.”

“ML engineer with hands-on experience building production AI systems spanning agentic AI, RAG, LLM automation, fraud detection, and predictive analytics. At Origami Risk, they designed and implemented an enterprise RAG platform end to end using LangChain, LangGraph, vector search, and AWS Bedrock to improve internal knowledge retrieval, reduce manual effort, and raise response quality across teams.”