Vetted Software Development Professionals

“Senior product leader with a track record of transforming legacy and labor-intensive products into AI-native, high-growth platforms across automotive SaaS, legal tech, enterprise software, and UCaaS. Most notably, they rebuilt CallRevu’s call analysis engine to replace human review with AI, cutting processing costs by 93% and reducing turnaround from 30 minutes to under 3 seconds, while also launching a new adjacent product line.”

Michael Yudanin

Screened

Director-level Engineering Leader specializing in AI/ML and enterprise software

San Ramon, CA19y exp

“Engineering leader with 20+ years of experience who still codes daily, currently directing AI-driven knowledge management systems at eGain. He stands out for combining large-scale people leadership with deep technical ownership of LLM/NLI pipelines and for a track record of turning complex operational problems into high-impact systems, including a manufacturing platform that boosted throughput 4x and expanded across 11 plants.”

“Has experience improving an ad server workflow by standardizing genre selection with templates, enabling reuse across multiple accounts and measuring success via hours of manual labor saved. Also delivered an internal technical demo on a device-metrics-to-AWS-CloudWatch logging workflow using whiteboarding and PowerPoint to onboard a new team.”

Vedant Kharwal

Screened

Intern AI/ML Engineer specializing in Generative AI and applied machine learning

Mumbai, India1y exp

“New graduate with hands-on LLM work building a RAG pipeline (HNSW, lexical reranking/boosting, ReAct) and optimizing it through ablation to dramatically reduce latency. Also building a modular personal assistant with a custom wake word model, router-driven agent selection, and integrations like Spotify with secrets managed via .env.”

“Senior sales executive with deep experience leading large-territory public sector and enterprise sales teams across healthcare, government, and services. Stands out for combining strategic sales transformation—territory design, compensation redesign, CRM/predictive KPI systems, and rapid hiring—with proven results including $80M+ ARR, a $200M+ backlog, an $80M business turnaround, and a $750M complex outsourcing deal.”

Olivier Meyer

Screened

Executive product leader specializing in AI-enabled B2B SaaS platforms

Herndon, VA31y exp

“Product leader with experience both scaling enterprise platforms and building product organizations from zero. At PerformYard, they introduced AI across HR/performance workflows, built the first PM, design, and QA teams, and applied deep BI/analytics expertise to unblock a stalled reporting product. They also led technically complex platform work at VBrick, including a WebRTC-based peer-to-peer distribution capability for large-scale enterprise video delivery.”

Ranfei Pang

Screened

Mid-level Software Engineer specializing in AI systems and FinTech

Boston, MA4y exp

“Amazon warehouse-tools engineer with strong full-stack and GenAI systems experience, spanning large-scale provisioning platforms and internal LLM/chatbot products. They’ve owned systems end to end, including React/TypeScript frontends, Java/AWS backend orchestration, and Bedrock-based RAG architectures, with measurable impact on latency, token cost, validation quality, and operational support load.”

“Software engineer intern at Nutanix who independently shipped and maintained an internal smoke-test/failure-analysis dashboard, integrating failure data from multiple upstream systems (e.g., Jira, Jenkins, CircleCI) via REST APIs. Also has prior data-science experience building Postgres-based asset management analytics with automated reporting and indexing for faster time-series retrieval.”

“Robotics software intern (Summer 2025) at Ola Krutrim working on 2W/4W ADAS: integrated an ASM330LHH IMU over I2C, performed camera-LiDAR intrinsic/extrinsic calibration, built an interactive calibration GUI, and optimized a camera-LiDAR fusion pipeline (cut latency from ~500ms to ~200ms) including CUDA parallelization and Kalman filter-based lane tracking. Strong ROS 2 background with URDF/Gazebo simulation and custom ROS2 Arduino bridge work for hardware control.”

“Frontend engineer who led Take-Two’s first direct-to-consumer e-commerce platform, setting up a React/Next.js monorepo with CI/CD and semantic releases. Built a centralized, SSR-based payment micro-frontend (iframe + postMessage) integrating providers like PayPal/Braintree and Xsolla while meeting legal constraints around sensitive data, and drove measurable performance gains (~40% faster loads) through SSR and multi-layer caching (including Redis).”

Nkechi Iregbulem

Screened

Principal VC investor specializing in enterprise software, AI, and deep tech

San Francisco, CA5y exp

“Early-stage VC investor focused on proactive, outbound founder sourcing (heavy LinkedIn and stealth-founder alerts), with a track record that includes sourcing a unicorn investment through cold outreach. Has experience nurturing cold founder relationships into active deal flow (including early conversations with a Hermeus co-founder) and running a fast-moving pipeline with CRM, memos, and automated follow-ups; interested in pre-seed/seed, pre-consensus AI/frontier tech investing.”

Mustafa Ali

Screened

Mid-level Software Engineer specializing in backend systems and AI

Boston, MA4y exp

“Founding/early backend engineer at ATICA Global who built the company's core hotel property management platform from an empty repo into a production system used by 500+ hotel clients. Combines strong backend architecture with pragmatic product execution, including a dynamic pricing engine that increased partner revenue 17% YoY and an AI-powered sentiment pipeline processing 200K+ reviews/month.”

“Senior engineering leader who scaled a global organization from 15 to roughly 100 people and operates comfortably at both executive and hands-on architecture levels. Has led SaaS platform improvements, AI-based compliance workflow automation with LLM observability, and consumer-facing product modernization using analytics-driven UX decisions.”

Lionzy Tanis

Screened

Mid-level Product Manager specializing in cloud, AI, and enterprise systems

Dallas, TX7y exp

“Product/operations-focused transformation professional with experience spanning AWS/Oracle cloud environments and regulated healthcare revenue workflows. Stands out for translating messy business problems into deployable solutions, including AI-enabled concepts using AWS Polly, Bedrock, and OpenAI, while grounding decisions in compliance, data integrity, and stakeholder adoption.”

“Game engineering leader/player-coach who recently shipped Netflix/Boss Fight’s mobile hit Squid Games Unleashed, owning live ops scheduling (XML/JSON to C# in Unity) and storefront integrations while reviewing 6–8 engineers’ code. Experienced in client-server reliability work (The Sims 4 time-sync incident) and in speeding delivery via process redesign (gated approvals), with a coaching style informed by 6 years teaching improv theater.”