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Vetted Web Scraping Professionals
Pre-screened and vetted.
Michael Kaufman
Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms
“iOS-focused engineer who led feature development for Amazon Books/Kindle (e.g., Series & Story So Far recaps, Kindle Memories) and introduced pure Swift packages while building sync and content download systems. Also has full-stack experience (React/TypeScript + Node with REST/GraphQL) and strong AWS operations (CDK/CI-CD, CloudWatch, canaries, autoscaling), plus founder experience at GLXY.ai shipping an early hardware MVP (weight sensors) under tight constraints.”
Mid-level Program/Product Manager specializing in AI, SaaS strategy, and go-to-market
Senior strategy and operations leader specializing in FinTech, media, and investment strategy
Senior Customer Success & Technical Account Leader specializing in AI/ML infrastructure
Junior Software Development Engineer specializing in AWS automation and data pipelines
Lawrence Cheng
Mid-Level Backend Software Engineer specializing in FinTech platforms
“Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.”
Rakshak Shah
Intern Software Engineer specializing in cloud, AI, and systems programming
“AWS intern who significantly evolved a Drift Audit Service backend (Control Tower/EventBridge context) to make drift findings more explainable and reduce false positives by adding a verification step in Lambda before event ingestion. Demonstrates strong API design fundamentals in Python/FastAPI (contracts, idempotency, security controls) and careful rollout practices (feature flags, canaries, phased deployments).”
Rishi Machanpalli
Intern Software Engineer specializing in AI/ML and platform security
“IAM/platform engineer with experience at DocuSign and Siemens who ships production-grade systems end-to-end: built a secure AWS serverless internal employee-profile API (OAuth2/Cognito/WAF) that cut data retrieval from weeks to near-instant and sustained ~2,800 RPS at ~75 ms. Also delivered production AI workflows, including a GPT-4o + Playwright crypto-scam detection agent and an NLP ticket-routing system improved to ~86.7% accuracy with strong monitoring and incident mitigation practices.”
Elvis Rodriguez
Mid-Level Software Engineer specializing in Python, data pipelines, and FinTech systems
“Software/data engineer with experience at Google and on Bloomberg-related financial data modernization, building Python pipelines that convert legacy financial datasets into modern structures and iterating based on client feedback (e.g., adding historical change tracking for private placement data). Also built an internal Google usage-metrics dashboard pipeline using Protocol Buffers and scaled execution via sharded parallel cron jobs while scheduling off-hours to avoid impacting a testing tool.”
Intern Software Engineer specializing in backend APIs and iOS development
Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML
Intern Full-Stack Software Engineer specializing in LLM-integrated web apps and microservices
Senior MarTech Software Engineer specializing in AI automation and digital analytics
Senior Full-Stack Engineer specializing in Python, cloud platforms, and scalable web systems
Senior AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Mid-Level Software Development Engineer specializing in cloud infrastructure and automation
Senior AI/ML Engineer specializing in Generative AI and LLM applications
Senior Marketing Analytics & Digital Strategy Professional specializing in data-driven performance optimization
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Muhan Zhang
Junior AI Software Engineer specializing in LLM pipelines, OCR, and RAG
“Built and shipped a production LLM pipeline for nursing home Medicare reimbursement (PDF OCR + fact extraction + keyword RAG + QA) that reportedly increased payouts by ~$1K/month per patient. Strong in LLM ops/benchmarking (ground truth, LLM-as-judge, cost/I-O tracking) and pragmatic optimization—swapped retrieval approaches, fine-tuned a small model to cut OCR cost 90%, and migrated workloads to Azure/Temporal to scale nightly processing 10x.”
Shardul Jeurkar
Intern Applied AI/Software Engineer specializing in computer vision and full-stack platforms
“Built production LLM systems focused on reliability and safety, including a plain-English deployment tool that generates validated plans and provisions to Kubernetes while preventing unsafe actions via schema enforcement and plan/execute separation. Also created multi-LLM workflows (LangGraph) and stakeholder-friendly demos at Bosch, including a PyQt/FastAPI/CUDA app comparing SAM2 vs SAMWISE for on-device object detection with intuitive UX for business users.”
Chaithanya Konda
Mid-level Data Engineer specializing in multi-cloud analytics platforms
“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”