Vetted Performance Optimization 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).”

“Project lead who partners with PM and customers to gather requirements, adjust project plans, and deliver new functionality that drives customer satisfaction and revenue. Has experience building features end-to-end and presenting successful technical demos to engineering and management audiences; no stated experience with LLM/agentic systems.”

“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.”

“Google backend engineer with strong experience in large-scale identity, membership, and access-control systems. Notable work includes reconciling customer IDs across 2B+ roster records and leading a 0-to-1 Drive sharing feature to classify external users as crossover members, with a strong emphasis on correctness, rollout safety, and low-latency service design.”

“Solutions/implementation-focused engineer with payments expertise (Adyen headless Magento integrations, 3DS components) who also builds and troubleshoots agentic LLM workflows using the OpenAI Agents SDK. Experienced in pre-sales technical validation and in tailoring live demos/workshops—e.g., pivoted a Quantum Metric workshop from custom JavaScript instrumentation to no-code analytics based on audience needs.”

“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.”

“Engineering leader with hands-on product and platform experience spanning AI-powered web forms, multi-region Azure/OpenAI architecture, and full-stack team scaling. They also remain close to production systems, citing a concrete debugging example involving iOS WebView local storage behavior causing token loss in embedded mobile web forms.”

“Gameplay engineer/designer with Unity experience spanning a Peloton open-world multiplayer cycling game (progression, difficulty normalization via FTP, replayability through medals/cosmetics) and a mixed reality soccer training game using a motion-tracked ball. Known for pragmatic, metrics-driven tuning (session length/mission duration), rapid playtest-led iteration, and cross-discipline execution including performance tooling (LOD batch editor) and phased multiplayer implementation planning.”

“Frontend-leaning full-stack engineer who built an internal real-time operations dashboard from 0→1 using React, TypeScript, Redux Toolkit, Material UI, and Node.js integrations. Stands out for hands-on performance tuning at scale—profiling and fixing excessive re-renders, optimizing live-update UIs, and iterating post-launch with caching, pagination, and observability.”

“Frontend engineer from Amazon Advertising who owned a sophisticated React/TypeScript ad creative builder used by advertisers and ad ops teams. Stands out for combining deep browser-level debugging with product-minded UX improvements that reduced support escalations and made complex multi-placement ad configuration faster and more reliable for power users.”

“JavaScript/TypeScript engineer from Ridgeline who built a retry feature for failed staging-to-production promotions with pre-promotion health checks. Brings a backend-scaling mindset to runtime performance work (metrics-first bottlenecking, Big-O analysis, async/parallelism, caching) and leverages Cursor/AI tooling to ramp quickly on large codebases.”

Abhishek Masurkar

Screened

Senior Frontend Engineer specializing in scalable web apps and UX

Mumbai, India15y exp

“Frontend/UI lead who drove an end-to-end Angular redesign at Ketto.org, creating a scalable design system and internal component library with 90%+ unit test coverage and ongoing performance work (FCP/TTI, SSR/CDN/caching). More recently at Google, built a complex React+TypeScript UX research platform syncing video playback with interactive transcripts (notes/tags/highlights) and shipped features via PRD-driven, phased rollouts with dogfooding and in-app feedback.”

“Data engineer focused on building and operating reliable Airflow-orchestrated pipelines into BigQuery, including daily billing ingestion (~1GB/day) and ad platform (Facebook/LinkedIn) data collection. Implemented end-to-end data quality checks plus org-wide incident response automation integrating PagerDuty, Slack, and Jira, and has experience executing large backfills (4–5TB) via time-window batching.”

“Long-tenured Intel engineering leader with 27 years of experience spanning hardware-near software through cloud and web layers, including Chromebook and AI platform work. Particularly compelling for senior platform or AI infrastructure roles: he led cross-functional efforts to unify Intel's oneAPI stack across PC, embedded, and data center environments and helped drive LLM inference performance from roughly 11 to 22 tokens per second.”

“Product leader with experience spanning global health, startup growth, and AWS enterprise systems. Most notably led a telehealth AI initiative at Orbis that launched in 4 months, validated against historical patient cases at 99.9% match to human consults, and evolved from a support feature into a standalone consult product and app. Brings a strong human-centered AI perspective, using automation to extend expert capacity rather than replace professionals.”

“Early-stage full-stack engineer who built Dokai's core web spreadsheet product and key AI features with just a two-engineer team. They combine strong product ownership with practical LLM integration experience, including reducing onboarding from a week to five minutes and solving difficult reliability and memory issues in production.”

“Technical co-founder of Aldata AI for nearly three years, building an AI platform that ingests 100+ engineering data sources to analyze team behavior and correlate it with business outcomes. Combines hands-on architecture leadership, fast startup execution rhythms, and revenue-driven product prioritization, with prior experience in larger corporate environments like Chase.”