Vetted SDLC Professionals

“Senior engineering leader with experience across cybersecurity, retail commerce, consulting, and media platforms, combining large-scale org leadership with hands-on architecture depth. Notable for driving measurable cloud modernization outcomes—multi-million-dollar cost savings, major latency and MTTR reductions, and compliance-heavy transformations—while also leading AI/NLP and consumer product simplification initiatives.”

“Engineering leader and player-coach with a long tenure leading 5 teams/17 engineers, combining organizational leadership with hands-on SQL, architecture, and production incident work. Particularly notable for shipping AI-powered lead engagement systems like an intelligent voice agent, while also driving operational improvements such as release cadence standardization, team restructures, database migrations, and major rules-engine performance gains.”

Emily Wood

Screened ReferencesStrong rec.

Director-level Product Management leader specializing in digital media, edtech, and e-commerce

Boston, MA15y exp

“Product leader with experience as the first product manager at Harvard Business Review, where they grew into Director of Product and built out the PM team. More recently, they shipped an AI-enabled learning pathway curation tool using RAG and have been driving platform centralization and human-centered AI strategy in enterprise learning.”

Nagsen Dahat

Screened

Executive engineering leader specializing in FinTech platforms and cloud-native systems

New York, NY18y exp

“Motivated by the desire to work independently after spending significant time working for others. Demonstrated notable discipline and follow-through by completing a Master's program with great grades while managing a full-time job, family with two children, and a social life.”

Lissa Miller

Screened

Director-level Product Leader specializing in 0-to-1 B2B SaaS and AI platforms

Danville, CA20y exp

“Product leader with experience spanning Apple and healthcare AI, including leading the global Apple Relay partner portal now used across 80+ countries and building LLM-powered clinician documentation tools at Xolv. Stands out for combining large-scale platform execution, measurable business impact, and a human-centered approach to AI in regulated environments.”

“Candidate is a hands-on engineer using AI as a controlled coding partner rather than an autonomous decision-maker. They have practical experience designing and leading structured multi-agent coding pipelines with specialized roles for code generation, review, and test coverage, and show strong judgment around reliability through schemas, guardrails, reviewer gates, and manual validation.”

“Meta engineer who emphasizes AI-native development workflows, using Claude Code heavily to ship UI and performance fixes quickly. Notable examples include a location-aware ad relevance feature that increased CTR and revenue, and a vehicle insights chatbot whose UX improved through metric-driven prompt tuning.”

Zahaan Khan

Screened

Mid-Level Full-Stack Software Engineer specializing in ads transparency platforms

San Jose, USA6y exp

“TikTok engineer (4 years) who built and owned multiple ad transparency platforms used by internal teams and advertisers worldwide. Strong full-stack profile spanning Next.js/TypeScript + Redux frontends, a secure/optimized BFF layer, and event-driven backend workflows (Kafka, retries/DLQ, Redis idempotency) with heavy emphasis on observability and performance; cites a 20% moderation efficiency gain on a modernized legacy tool.”

“Product leader with experience at Amazon and Shift4 who specializes in untangling complex legacy financial systems and turning them into scalable, config-driven platforms. Notably rebuilt Shift4's fee logic into a single source of truth that cut engineering effort by 35% and later exposed it through an AI-powered support experience for merchants and internal teams. Also brings hands-on people management, having created a detailed leveling and career-development framework for engineers.”

“Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.”

“Front-end engineer who significantly owned the Microsoft Teams personal copilot web experience for enterprise customers, including real-time streaming chat powered by WebSockets and bot infrastructure. Stands out for combining browser UI architecture, accessibility/localization work across 30 languages, and strong production telemetry/incident ownership for reliability at scale.”

“Built and shipped production AI systems spanning customer support automation at Uber, privacy-preserving federated health modeling on iOS, and an open-source semantic search layer for Postgres. Stands out for combining strong LLM/product instincts with rigorous eval design, measurable production impact, and zero-to-one execution across backend, mobile, and developer infrastructure.”

ALEXANDER SHEYNER

Screened

Executive IT & Enterprise Architecture leader specializing in portfolio transformation, data/AI, and M&A

Boston, MA35y exp

“Fractional CTO supporting early-stage teams in the UAE and Ukraine to build platforms using an "Agentic OS" approach—one focused on reducing friction across patient/provider/payor engagement and another on enforcing transparency for international rebuilding investments to reduce fraud. Also exploring an alternative-energy feedstock plantation opportunity in Armenia with multi-industry downstream revenue potential; has created project-specific investor pitch decks and is actively engaging potential investors.”

“Product/operations-focused builder exploring an AI-based vacation planning app (early-stage). Previously drove a large-scale fulfillment-center automation initiative impacting 1.2M associates, reducing peak-season ad-hoc hiring and delivering ~$39MM in annual savings through a metrics-driven, cross-functional execution approach.”