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Vetted Artificial Intelligence Professionals
Pre-screened and vetted.
Poojitha MaheshShyla
Mid-level Java Backend Developer specializing in cloud-native microservices
“Backend-leaning full-stack engineer with Walmart experience building and operating high-volume media upload and processing systems. Strong in Java/Spring Boot, Postgres performance tuning (EXPLAIN/ANALYZE), and durable workflows using Kafka/Spring Batch with retries and idempotency, plus production ownership via monitoring and optimization; familiar with Next.js/TypeScript and modern React performance patterns.”
Jeff Cushler
Executive Technology & Product Leader specializing in Healthcare IT, SaaS, and Cloud Transformation
“Startup product/enterprise-stack builder who helped take Ventric Health from R&D to a market-launched healthcare product in 2024, operating in a $34M-raised, revenue-generating model leveraging Medicare C reimbursement through providers. Previously drove adoption of an integrated K-12 digital learning platform distributed to 100+ institutions over two years, with reported improvements in test scores.”
Corey Bowlby
Executive Product & Technology Leader specializing in FinTech SaaS, core banking, and payments
“Product/technology executive who has repeatedly built and scaled engineering organizations from early-stage startups to large enterprises (including Temenos with ~2,000 developers). Led major platform modernizations (monolith-to-microservices) to enable SaaS, resilience, and faster delivery, and launched an innovation hub to build proprietary neural-network biometric algorithms for a payments product enabling "wave of the hand" transactions.”
Shrey Bahadur
Intern Software Engineer specializing in full-stack web development and AI
“Software engineer with experience building internal tools and admin consoles, including a stealth startup database management console and a Fidelity internship project that transformed QA test coverage tracking from unwieldy Excel sheets into a clearer, more actionable UI. Strongest signals are end-to-end ownership, modular app design, and practical iteration based on user feedback.”
Rajeev Sai Nitturu
Mid-level Software Engineer specializing in cloud-native backend and AI systems
“Candidate takes a disciplined, developer-in-the-loop approach to AI-assisted coding, using AI primarily for brainstorming, suggestions, and optimization while retaining full ownership of architecture and final code decisions. They also actively stay current on AI developments through research papers, communities, and emerging tools.”
Jeff Craven
Director-level delivery executive specializing in enterprise SaaS, telecom, and platform deployments
“Enterprise SaaS implementation leader with broad cross-functional ownership spanning project management, sales engineering, customer success, and technical account management. Has delivered complex migrations and multi-release portfolios across 40+ enterprise customers, including utilities, telecom, and municipal environments, with strong experience coordinating high-stakes cutovers, integrations, and executive stakeholder communication.”
Greg Nilsen
Senior Product Leader specializing in AI-native SaaS platforms
“Product leader with deep experience modernizing complex, integration-heavy platforms in legal tech and healthcare. Notable for redirecting a legacy Thomson Reuters product from a cosmetic UI rewrite into an API platform that unlocked new markets, and for launching an AI-assisted 340B rebate product at SunRx with a 90% successful auto-resubmission rate. Combines strong technical depth, regulated-industry domain knowledge, and team-building experience.”
qichen liu
Entry-level engineer specializing in manufacturing, embedded systems, and computer vision
“Operations-to-engineering builder who turned a real dispatcher pain point into a live fleet-tracking and routing prototype using React, FastAPI, WebSockets, and mapping/routing tools. Also building AI workflow-automation products for non-technical office users, combining deterministic validation, sandbox replay, and LLM-assisted workflow splitting. Especially interesting for teams that value scrappy zero-to-one product ownership and practical automation.”
Agam Modasiya
Mid-level GNC Software Engineer specializing in robotics, autonomy, and controls
“Robotics software engineer with hands-on sim-to-real experience: built and deployed a reinforcement-learning vision policy at The Boring Company to align a robot end effector to tunnel lining engagement holes, owning the full pipeline (SolidWorks/URDF modeling, PyBullet + Stable-Baselines3 training, and on-machine deployment). Also modified ArduPilot and tested custom drone algorithms via ROS/Gazebo using MAVROS and VICON-based localization.”
Lauren Henry
Senior GTM Enablement & Revenue Leader specializing in sales coaching and scalable onboarding
“Senior Membership Manager at Chief who operated in a player/coach leadership role across US/UK teams. Partnered with CRO and RevOps to shift the business from a city-by-city model to a national GTM, scaling membership from 3,400 to 20,000+ and lifting conversion 10% through revamped workflows, enablement, and data-driven KPI dashboards.”
Sriman Ujhanthachhen
Intern Software Engineer specializing in AWS cloud architecture and GenAI systems
“AWS Solutions Architect intern who advised customers on securing a multi-tenant LLM-based SaaS, including isolation strategy tradeoffs and production guardrails against prompt injection. Has experience investigating a prompt-injection incident using logs/traces and TTP-style documentation, and designing scalable SDK/agent integrations via asynchronous worker architecture with prompt versioning.”
Avinash Pancheneni
Mid-level Machine Learning Engineer specializing in fraud detection and LLM applications
“Unreal Engine UI engineer focused on scalable, production-ready UI architecture (C++/Slate/UMG/CommonUI) with strong designer enablement via decoupled, interface-driven patterns and MVVM. Demonstrated measurable performance wins: replaced 200+ per-frame Blueprint bindings to cut UI prepass/paint from 4.2ms to 0.5ms and reduced VRAM by ~120MB using texture streaming proxies.”
Nipul Jayasekera
Senior Software Engineer specializing in integrations, test automation, and CI/CD
“Full-stack engineer with production experience building a security integrations portal in Next.js (App Router + TypeScript), using server components and typed route handlers as a secure proxy to multiple third-party security vendors. Demonstrated ability to scale performance significantly (server-side re-architecture for 1M+ datapoint dashboard filtering; Postgres query tuning from 1–2s to <200ms) and to own features post-launch (reliability, caching/background sync, and rapid onboarding of new integrations) in a pre-Series B through post-Series C environment.”
Mohammed Siddique
Executive Operations & Strategy leader specializing in global digital transformation
“Global operations/program leader from PSI who ran concurrent transformation initiatives across US/APAC/EMEA—AI-driven proctoring automation, vendor consolidation, and BI/exec dashboards—while overseeing delivery of millions of exams in 120+ countries. Known for KPI-based governance (RACI, steering cadences, shared dashboards) that drove measurable outcomes: +20% throughput, $5M annual cost reduction, and 30% reduction in executive meeting load with faster decision cycles.”
Shao Rong Su
Senior AI Research Engineer specializing in LLM agents and predictive maintenance
“At Delta Electronics, partnered with automotive firmware teams to productionize an LLM-based coding assistant for identifying safety standard violations and generating bug-fix guidance. Built an agentic workflow with stepwise context extraction, similarity search, and a separate judge model for scoring reasoning/retrieval, and drove internal adoption through pain-point discovery and tailored technical demos using real firmware code.”
Jackson Dike
Entry-Level Software Engineer specializing in Machine Learning and AI
“Master’s-level candidate with an academic project portfolio, including ownership of a Python-based video game recommendation system using unsupervised clustering. Has hands-on experience designing the system approach and validating recommendation quality with test cases, plus teaching assistant experience instructing Git/GitHub workflows; limited exposure to Kubernetes, GitOps, and large-scale infrastructure.”
Kanaka Chalam Volety
Staff DevOps/SRE Engineer specializing in AWS, Kubernetes, and GitOps
“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.”
Aditya Jaiswal
Intern Software Engineer specializing in cloud, DevOps, and applied AI
“Full-stack engineer with startup ownership experience (Aiir) building 15+ TypeScript/Go microservice APIs on GCP Cloud Run with Kafka-based async event streaming and React CRM integrations for billing/analytics. Strong post-launch operator who tuned Oracle performance (partitioning/indexing/query optimization) and validated a 23% retrieval-time reduction via AWR, and has a quality/DevSecOps mindset (94% Pytest coverage, GitHub Actions, SonarQube, Twistlock, CloudWatch) including migrating 18+ production CI/CD pipelines.”
Michael Cohen
Executive Data & AI Leader specializing in enterprise SaaS and marketing analytics
“AI strategy and execution consultant currently doing contract/ad hoc work and planning to formalize the business with partnerships, GTM strategy, pro forma financials, and marketing/tech investments focused on AI productivity, governance, and security. Background includes founding startup teams, M&A/integration, and operating leadership in VC-backed scale-ups (Insight Ventures, EIP, Zetta Ventures) plus C-suite experience in a global PE-backed holding company, with 20+ years of published work in prediction and decision systems.”
Muralitharan Velayuthan
Executive technology leader specializing in BSS, digital transformation, and telecom systems
“Candidate has a business plan and has been actively fundraising for about one month by reaching out to targeted VCs. They are early in learning the VC/accelerator landscape, pragmatic about entrepreneurship, and open to either founding their company if funded or joining an existing company if a strong opportunity arises.”
Kristina Shen
Intern-level Data Scientist and ML Engineer specializing in analytics and AI systems
“Early-career analytics candidate with hands-on experience in SQL/Python data pipelines, Tableau reporting, and marketing engagement analytics across internship and startup settings. Stands out for combining rigorous data quality practices with practical AI system design, including an end-to-end GPT-4 grading capstone that emphasized explainability and human oversight.”
Francois Odienne
Director of Engineering specializing in SaaS platforms, AI-first product development, and telecom
“Technology leader with venture-backed company experience at LogicMonitor, where they aligned engineering strategy with business growth and long-term platform scalability. Demonstrates strong familiarity with the VC/studio/accelerator ecosystem and a thoughtful founder mindset centered on validating real problems, innovative solutions, and execution capacity.”
Michael Miller
Executive technology leader specializing in model risk and regulatory technology
“Candidate is pursuing a CTO role and has helped multiple startups turn early technology concepts into concrete, real-world technical requirements. They cite a systems science and mathematics background, along with experience at JPMorgan Chase, and appear strongest in technical strategy, concept fleshing, and identifying strong people to help teams succeed.”
Amit Dharam
Junior AI/ML Software Engineer specializing in backend systems and cloud deployment
“Built multiple end-to-end automation and data systems, including an Accio RAG pipeline combining PDF parsing, FastAPI, Neo4j, and vector search, plus Selenium-based scraping for a virtual try-on product. Stands out for reliability-minded engineering: automated testing, structured logging, validation layers, and a data-driven approach to debugging flaky automation that improved CI pass rates to over 98%.”