Vetted SQL Professionals

“Product-minded full-stack engineer who has built AI-heavy systems spanning Next.js/TypeScript frontends, Python/FastAPI backends, queues, databases, and workflow infrastructure. Stands out for combining strong technical depth with UX instincts—improving trust in AI assistants, shipping ambiguous client features quickly, and creating reusable primitives for AI generation and analysis products.”

“ML/AI engineer with hands-on ownership of a production LLM/RAG system at Goldman Sachs, focused on workflow automation and large-scale document search for operational teams. They combine strong MLOps and backend engineering skills with practical GenAI evaluation and safety practices, and cite measurable impact including 22% better task guidance accuracy and sub-second search across millions of records.”

“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.”

“Senior business analyst/project manager with broad enterprise implementation experience across multiple business functions and platforms, including ERP, custom web apps, AI chatbot deployment, and ITSM asset migration. Stands out for owning projects end-to-end, using iterative requirements workshops and visual process mapping, and finding practical configuration workarounds when out-of-the-box systems fall short.”

“Veteran software engineer with an unusual path from founding a game development company and shipping dozens of games to rebuilding a B2B product data platform after bankruptcy reduced engineering to a two-person skeleton crew. Particularly strong in legacy modernization, data synchronization, enterprise UI/backend architecture, and customer-safe migrations where old and new systems must coexist in production.”

“Entrepreneurial operator with experience building two bootstrapped ventures, spanning both operations-heavy business execution and creative production. Through Kellogg MBA work and current exposure at Equiseed, they combine startup ecosystem knowledge with a highly practical, customer- and unit-economics-driven approach to founding.”

PavanKumar Varkala

Screened

Mid-level Full-Stack Engineer specializing in AI-driven web applications

Jersey City, NJ4y exp

“Built and shipped an AI-driven operational workflow platform at Adobe that handled 12k+ monthly requests using React, Node.js, TypeScript, OpenAI APIs, PostgreSQL, Redis, and RAG. Stands out for combining full-stack product ownership with production-grade LLM architecture, evals, and human-in-the-loop controls, delivering measurable gains including 38% higher accuracy and 40% less manual triage.”

Keerthi Pericherla

Screened

Mid-level Full-Stack Developer specializing in cloud-native FinTech applications

Remote, USA5y exp

“Frontend engineer with HCL Tech experience building loan operations dashboards and React/TypeScript data-heavy interfaces. Stands out for combining maintainable component architecture with hands-on performance tuning, including a reported 30% load-time improvement in a production visualization-heavy application.”

“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.”

“Frontend-focused product engineer with hands-on experience designing and shipping real-time dashboards and alerting systems in regulated domains like banking and healthcare. Has led both UX/design and implementation work, combining React/TypeScript and Angular frontend expertise with Kafka-driven event architectures, performance optimization, and production monitoring.”

“Frontend-focused product engineer with experience at IBM and Intel building internal enterprise platforms, especially incentive and employee operations workflows. They repeatedly describe owning both UX/design decisions and the React frontend implementation, with strong emphasis on reusable components, API integration, and shipping ambiguous workflow products into production.”

“Built a student-focused course planning tool called Dolphin Planner and appears to have owned it end-to-end, from full-stack implementation to UX refinement. Stands out for solving a real campus scheduling problem, optimizing React rendering performance, and iterating based on direct observation of classmates using the product.”

Uma mahesh

Screened

Mid-level AI Software Engineer specializing in Generative AI and healthcare automation

NC, USA5y exp

“Backend/AI engineer with 5+ years spanning ServiceNow, Cognizant, and GE Healthcare, where they built agentic AI and RAG systems for safety-critical medical device workflows. Particularly compelling for teams needing production LLM systems in regulated environments: they combine cloud deployment and evaluation rigor with HIPAA-aware privacy controls, explainability, and measurable business impact.”

Ziyu Wang

Screened

Mid-level Full-Stack Engineer specializing in AI platforms and agents

New York, NY4y exp

“Front-end engineer focused on high-performance real-time browser applications, with hands-on ownership of an AI-integrated education platform and interactive admin tooling. Stands out for deep browser fundamentals knowledge and measurable UI performance gains, including a 40% reduction in client-side response latency.”

“Frontend engineer with strong React/TypeScript depth who built a schema-driven onboarding platform in Next.js and Apollo GraphQL to support client-specific workflows without duplicating forms. Demonstrates solid performance instincts, having diagnosed and improved lag in a production cart/order dashboard using React DevTools Profiler, memoization, debounced filters, and state isolation.”

“Product leader with 10 years in regulated life sciences who has moved from building compliant manufacturing and validation capabilities at Illumina to shipping live AI products. Unusually combines deep FDA/EU MDR/ISO 13485 domain knowledge, hands-on scientific research experience, and practical RAG-based product development for regulatory and manufacturing workflows.”

“Full-stack engineer who described a sophisticated forum platform spanning Next.js, NestJS, MongoDB, MySQL, PostgreSQL, RabbitMQ, and AWS. Stands out for strong systems thinking: they designed for type safety, eventual consistency, idempotent async moderation, analytics scalability, and production reliability, while also driving an architectural refactor that reduced new post-type delivery from multi-day work to about half a day.”

“Platform-focused engineer/technical program leader working in silicon/wafer validation environments, with hands-on experience securing access to sensitive test results and engineering tooling. Has implemented RBAC/least-privilege controls with Azure Entra ID, Key Vault, PAM and integrated Checkmarx into dev workflows, while also deploying ML services on AKS using Bicep/Helm/Docker and Azure DevOps CI/CD with strong monitoring and incident response practices.”

“Robotics software engineer with UC Irvine capstone experience building an autonomous rover end-to-end: ROS 2 navigation (slam_toolbox + Nav2) on Jetson Xavier, depth point-cloud integration for obstacle avoidance, and an on-device speech-to-action interface that converts natural language into Nav2 goals. Also has prior full-time experience integrating a safety assurance decision engine into distributed autonomous drones over secured mesh networks, emphasizing reliable communication under real-world network constraints.”

“Backend/data engineer focused on AWS-based Python services and data pipelines: built a Django/DRF user management/auth platform deployed with serverless AWS (Lambda/API Gateway) and event-driven workflows (Step Functions/EventBridge), with CloudFormation + Jenkins for automated delivery and Secrets Manager/Parameter Store for secure config. Also delivered AWS Glue ETL from S3 to RDS with schema evolution controls and incident-driven improvements, and has demonstrated measurable SQL tuning impact (minutes-to-seconds).”

“Early-career robotics engineer who has integrated LLM/NLP command interfaces (OpenAI/LLaMA) into ROS-controlled industrial manipulators and built data-driven controls for underwater soft robotic actuators. Combines hands-on fabrication (balloon actuator with embedded copper traces) with sensor debugging (IMU/Aurora) and simulation work in Gazebo, with practical exposure to edge deployment constraints on Jetson Nano and model quantization.”

“LLM/RAG practitioner who productionized an LLM-driven customer communication and transaction understanding system at PayPal, emphasizing privacy/compliance guardrails and large-scale data normalization. Experienced in real-time debugging of hallucinations via retrieval pipeline tuning and in leading hands-on developer workshops and sales-aligned POCs to drive adoption.”