Vetted GitHub Professionals

“Currently at Berryble AI, this candidate is building an LLM-based real-time interview analysis engine using FastAPI, WebSockets, fine-tuned models, and GCP/Cloud Run. They stand out for using AI and agent workflows pragmatically to accelerate development while keeping human ownership over architecture, security, reliability, and maintainability, and they are also pursuing a master's in applied machine learning.”

“ML/AI engineer with strong production depth across classical ML, MLOps, LLM/RAG, and scalable Python data platforms, with experience at Cisco and Accenture. Stands out for tying technical decisions to measurable business outcomes, including $1.2M annual savings, 40% faster support resolution, and broad internal adoption of shared engineering frameworks.”

“AI/ML engineer with production experience across both classical ML and Generative AI, including a real-time banking fraud detection platform at Deloitte and a RAG-based cybersecurity threat analysis feature at Accenture. Stands out for owning systems end-to-end—from feature pipelines and model tuning through deployment, monitoring, retraining, and API/platform reliability—with measurable impact on fraud accuracy, false positives, and SOC analyst efficiency.”

“Entrepreneur building a bootstrapped AI-native manufacturing company that combines agentic AI, LLM-assisted CAD/CAM, and in-house CNC machining to speed up hardware iteration. Comes from an early-stage enterprise SaaS background and evaluates opportunities like an angel investor, with strong fluency in VC dynamics and founder-market-team fit.”

“AI engineer and current tech lead building a RAG-based multi-agent QA platform for financial document analysis at significant scale (40,000-50,000 documents). They combine Python, CrewAI, FastAPI, Hugging Face embeddings, Pinecone, and AWS SageMaker to deliver retrieval, calculation, summarization, forecasting, and visualization workflows, while leading a small cross-functional team.”

“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.”

“Candidate has built multiple zero-to-one AI/full-stack products spanning bioinformatics search, rental marketplace semantic search, and an SDR agent for a hospitality startup. Particularly strong at turning LLM/embedding concepts into usable products with modular workflows, explainable outputs, and production-minded infrastructure.”

“Founder-owner of BoostChat who built a production AI ticket-routing platform for service businesses, bridging Telegram customer chats to contractor workflows in Revolt with measurable gains in speed and satisfaction. Also stepped from QA analyst into a lead software engineer role at Con Edison, helping modernize a legacy mapping platform.”

“Front-end/full-stack engineer with hands-on ownership of a sophisticated healthcare digital ID card platform at Centene, spanning React/Next.js UI and Spring Boot BFF architecture. Stands out for combining browser-level debugging, reusable component design, and secure multi-system integration to improve mobile usability, reduce production issues, and support adoption of digital member ID cards.”

Yuchen Shen

Screened

Junior Full-Stack Engineer specializing in AI and graph-based applications

Sunnyvale, CA2y exp

“Front-end engineer with experience at Walmart and Sam's Club building sophisticated browser-based UIs, including an internal AI chat experience that combined chat, document rendering, editing, and visualization in one workflow. Stands out for pairing modular React/TypeScript architecture with hands-on browser performance debugging and Apollo/GraphQL optimization for highly interactive enterprise interfaces.”

“Frontend-focused engineer with experience spanning healthcare, enterprise analytics, and real-time trading products. They have owned React/TypeScript dashboard surfaces end-to-end, including a hospital patient dashboard that cut latency by 50%, and have also shaped backend WebSocket contracts to make real-time systems scale.”

“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.”

“Frontend-focused React/TypeScript candidate with hands-on experience building personalized product discovery and recommendation modules that balance relevance, performance, and maintainability. They show strong practical judgment around rendering optimization, responsive CSS, accessibility, and using DevTools/Profiler data to improve production UX.”

Keerthana Kondabathini

Screened

Senior Full-Stack Engineer specializing in healthcare and financial platforms

5y exp

“Software engineer with experience spanning healthcare platforms at UnitedHealth Group/Optum and B2B SaaS systems at Zoho. Has worked on a startup-like internal product for intelligent medical document processing using microservices on Azure, while also building React dashboards, backend APIs, and Python automation to support clinical and business operations.”

Vasudev Konde

Screened

Mid-level Full-Stack Java Developer specializing in APIs and cloud microservices

Phoenix, AZ5y exp

“AI/LLM engineer who has shipped a production document-intelligence agent that automated internal support workflows using RAG, tool calling, and robust fallback controls. Stands out for combining hands-on architecture with measurable business impact: 85% faster query resolution, 35% lower LLM cost, 40% fewer LLM calls, and enough automation to avoid adding 2-3 support engineers.”

“Banking infrastructure engineer who owns large-scale IBM Power/AIX (AIX 7.x, VIOS, HMC/vHMC) environments with hundreds of LPARs and deep PowerHA/SAN recovery experience. Also builds modern cloud delivery platforms—Azure DevOps/Jenkins CI/CD and Terraform for AWS/Azure (EKS/AKS, networking, security)—bridging legacy mission-critical systems and cloud-native automation.”

Ramon Villacorta

Screened

Senior QA & Live Ops Configuration Manager specializing in console and mobile games

Culver City, CA14y exp

“Game industry QA tester with several years of experience supporting multiple AAA titles, including multiplayer ownership and work spanning pre-alpha through gold master and post-launch updates. Known for proactive edge-case exploration—e.g., finding and documenting a late-stage crash tied to a mission timer interaction—backed by strong evidence capture (video, crash dumps) and thorough verification/regression practices.”

“CTO-for-equity founder who partners with non-technical co-founders to bring AI-powered product ideas to market, emphasizing financial viability and go-to-market planning over "just an MVP." Currently working with two other founders (CEO/Sales and CPO/industry expert) to launch a SaaS platform, leveraging AI coding tools (Cursor/Windsurf) for extremely fast, production-ready iteration with daily releases.”

“Full-stack engineer focused on high-throughput document/financial data platforms, building Angular/React front ends and Spring Boot microservices with Python/Flask services for heavy processing. Experienced in designing non-blocking, asynchronous workflows (Celery/RabbitMQ) and deploying containerized systems to AWS ECS with auto-scaling and CloudWatch monitoring.”

Harshal Sawant

Screened

Senior AI Engineer specializing in LLMs, RAG, and MLOps on multi-cloud

8y exp

“Built and productionized a secure internal RAG-based AI assistant (LangChain/FastAPI/FAISS on GCP), tackling real-world issues like latency, retrieval speed, and hallucinations—delivering 25% faster retrieval and 99.9% uptime. Also implemented scalable, reliable ML retraining orchestration with AWS Step Functions/SageMaker/Lambda and partners closely with compliance analysts to iteratively refine prompts and outputs to meet governance standards.”

Bradley Willson

Screened

Senior Linux Systems Engineer specializing in hardware qualification and Bash test automation

Seattle, WA14y exp

“Former software tester with historical exposure to AIX 5.2 and Solaris 9 (circa 2001) and extensive Linux experience dating back to 1994. They indicated their background is primarily in testing and server hardware validation rather than IBM Power/AIX/Solaris operations and migrations.”