Vetted PHP Professionals

Justin Edwards

Screened

Senior Product Manager specializing in GTM systems and data infrastructure

New York, NY14y exp

“Solutions-oriented technical consultant with enterprise experience spanning Bank of America cloud migration and large-scale marketing architecture redesigns at Disney Streaming and SiriusXM. Stands out for combining pre-sales solutioning, compliance-heavy enterprise integration, and hands-on building—including a self-built gen AI child nutrition app that evaluates 1.4 trillion meal combinations in about 4 seconds.”

“Built and productionized an LLM-based PDF extraction pipeline for Medicaid policy documents by fine-tuning Gemini Flash 2.0 and deploying via Vertex AI, adding validation/guardrails to improve trust and reliability. Also built and scaled a SaaS platform (cnotes) for cable operators and regularly partners with customers and sales teams through interactive demos, rapid iteration, and real-time workflow debugging.”

“UX/product designer in a medical laboratory B2B portal context who prototypes beyond Figma—built a GPT-based settings chatbot to address findability and low settings adoption, iterating through 11 tested versions with regression safeguards and structured prompts to mitigate instruction truncation/hallucinations. Also redesigned clinic order management by separating doctor vs assistant experiences and introducing step-based status views for a long, multi-stage lab order lifecycle; former full-stack engineer who improves design-to-dev handoffs via templates and readiness rituals.”

“Cornell master’s student (CS/Stats) focused on research-heavy ML projects: implemented a sparsity-driven RL approach (DAPD + Soft Actor-Critic) that maintained stable learning even with ~95% of weights removed in OpenAI Gym continuous-control tasks. Also worked on diffusion-based computer vision with conditioning and latency-focused U-Net choices, and scaled unsupervised community detection on a 50k-node/800k-edge Reddit graph via BFS subgraph sampling.”

Belal Beydoun

Screened

Intern Full-Stack Software Engineer specializing in AI and data analytics

Detroit, MI2y exp

“Software engineer focused on real-time, low-latency AI pipelines: built an end-to-end mobile-to-backend image classification system using React Native/Expo, Node.js, gRPC, MySQL, and Google Vision AI, optimizing throughput and latency. Also integrated an AI model into a real-time field workflow at DTE via Node.js + Azure Databricks, adding data cleaning/validation and safe fallback logic for reliability in operations.”

Kanaka Chalam Volety

Screened

Staff DevOps/SRE Engineer specializing in AWS, Kubernetes, and GitOps

San Jose, CA24y exp

“Infrastructure-focused engineer with Vonage experience modernizing early-stage cloud architecture (Terraform modularization, blue-green deployments, containerization, and zero-downtime database migration planning to Aurora). Also built a local end-to-end side project, Vastu AI, combining a custom-trained YOLO model (Roboflow-labeled data) with a locally hosted LLM via Ollama to generate a vastu compliance report from floor-plan images.”

Suloni Praveen

Screened

Entry-Level Software Engineer specializing in data engineering and ML systems

Los Angeles, CA0y exp

“Built an end-to-end Next.js/TypeScript LLM-based scientific PDF analyzer using local Ollama/Llama inference to prioritize privacy and cost, producing structured research artifacts (e.g., authors/methods/findings) with ~92% extraction accuracy. At Qualtrics, helped replace a batch pipeline with a real-time, low-latency ML inference service (Python/Go on Kubernetes) using Redis caching, Grafana-based observability, and graceful fallbacks to protect UX during failures.”

Rayhaan Mohamed

Screened

Intern Software Engineer specializing in AI and full-stack development

Alpharetta, GA1y exp

“Early-career software engineer with internship experience at CirrusLabs building a voice-enabled CRM workflow that integrated Google Text-to-Speech and GPT-based processing for automated deal creation. Stands out for a reliability-focused approach to AI integrations, including validation, structured logging, prompt refinement, and hardening asynchronous API/UI behavior in real-world application flows.”

“Data engineer with a Master's in Data Science who has owned 30+ customer-facing K-12 SIS migrations end-to-end, building ETL, validation, and SOP-driven deployment processes in a PII-sensitive environment. Also brings recent hands-on agentic AI experience from a biotech capstone, where they led a production-oriented NLP-to-SQL + RAG support system that handled about 30% of support queries in testing.”

Benjamin Feldman

Screened

Director-level application development leader specializing in FinTech and digital transformation

Boston, MA16y exp

“Hands-on engineering leader in a private-company/startup-like environment who builds full-stack financial systems and leads small teams. Notably replaced a failed third-party banking platform with an in-house Azure-based product integrating major bank APIs, driving $200K-$300K in annual savings and major workflow automation and performance gains.”

“Product-minded full-stack engineer with experience shipping engagement features and core communication systems at DribbleUp and Expys. Stands out for combining rapid MVP execution with rigorous iteration: delivered a leaderboard feature that lifted engagement by 8% initially and 20% overall, built a chat MVP in 3 days, and has hands-on experience deploying LangChain-based concierge agents with evals and human review.”

“Built full-stack features for an AI healthcare copilot at Prompt Opinion, combining React/Next.js, Node/Express, PostgreSQL, and LLM/MCP integrations over FHIR-compliant patient data. Stands out for healthcare data interoperability knowledge, production ownership, and measurable impact, including scaling chatbot throughput and improving model response accuracy by 30% through better MCP tool architecture.”

“Software engineer with strong end-to-end ownership of search and listing systems (React/TypeScript frontend with Node.js + Spring Boot backends), focused on shipping fast while managing risk via feature flags, testing, and metrics. Demonstrated measurable UX/performance wins (reduced latency and search abandonment) and built internal observability tooling (dashboard + alerts) that improved incident response. Experienced with microservices reliability patterns including idempotency and dead-letter queues.”

“Part-time founder building a bootstrapped IT startup in the R&D phase, running multiple product iterations and cost/benefit analyses to validate uniqueness and monetization potential. Has prior experience working for venture capital firms and is familiar with how accelerators operate, with a strong focus on finding investors who can be true thought partners for rapid pivots.”

jiayu Zhao

Screened

Junior Quantitative Analyst and Full-Stack Engineer specializing in FinTech and web platforms

Chicago, IL6y exp

“Backend/distributed-systems engineer with AI infrastructure experience who built an AI-driven video generation platform, focusing on an asynchronous FastAPI-based orchestration layer between user APIs and heavy inference services. Strong in production instrumentation and latency/concurrency optimization; actively learning ROS 2 but has not yet worked on physical robotics or ROS-based deployments.”

Cuichan Wu

Screened

Junior Full-Stack Software Engineer specializing in scalable, AI-powered web apps

Bettendorf, IA1y exp

“Frontend-leaning engineer with production React experience and hands-on Next.js App Router patterns (Server/Client Components, Route Handlers, caching/revalidate decisions). Has built internal sales dashboards and optimized both React UI performance and SQL Server-backed analytics queries, and previously created an onboarding framework at Adobe that evolved into a configurable, multi-team reusable platform in a lean environment.”

Adam Safran

Screened

Engineering Director specializing in platform modernization, microservices, and cloud reliability

Pleasant Hill, CA26y exp

“Former founder (ran a custom web development shop in Los Angeles) with extensive startup experience and a solid working understanding of the VC ecosystem. Helped build and scale a team at Turo from founding member to ~10 people, and is motivated by ownership, impact, and originating ideas—interested in the venture studio model and disciplined about rapid validation and execution.”

“Hands-on engineering leader who has scaled teams quickly (hired 20 engineers in 4 months) and led major architecture shifts including monolith-to-microservices and serverless, async AI-driven medical data ingestion/search. Also drove a versioned-inventory redesign with auditability and rollback that reduced operational errors by 22%, and demonstrates strong incident response with clear stakeholder communication.”

Mark Parolisi

Screened

Executive technology leader specializing in digital publishing and media platforms

Greater New York City Area, NY18y exp

“Engineering leader in digital media/news with 8 years leading globally distributed teams supporting 24+ consumer and internal web applications. Distinguishes himself as a hands-on player-coach who standardized tooling across teams, built an in-house authentication and entitlements platform, and led AI systems for newsroom draft generation and taxonomy workflows that improved efficiency and engagement.”

“Software engineer with a recent pivot toward AI engineering, combining traditional full-stack web development with multi-agent AI application work using React, Flask, LangChain, and LangGraph. Has experience improving internal platform integrations, scaling production systems, and building revenue-impacting features such as an order tracking module credited with a 20% revenue increase.”

“CTO/AI executive with repeated 0-to-1 leadership and founder experience across banking software, cloud, and fintech. Most recently, as a fractional CAIO, built a 50+ person team and launched 3 products in 9 months generating $10M+ new revenue; previously founded Trilogy (200+ clients in 7 countries) and created cloud tech that helped drive a $35M acquisition by VMware.”