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Vetted Google Gemini Professionals
Pre-screened and vetted.
Executive Product Leader specializing in digital transformation and FinTech
Senior Sales Engineer specializing in enterprise SaaS and integration solutions
Executive engineering leader specializing in AI, FinTech, and cloud platforms
Emily Hottal
Director-level Product Leader specializing in AI, data, and customer engagement SaaS
“Senior product leader at Airship driving both major platform modernization and the company's AI transformation. They led a contact-centric rebuild touching nearly the entire customer engagement platform, then built an AI recommendations product on Vertex/Gemini with a design-partner rollout model. They also bring rare depth across analytics, experimentation, personalization, and email marketing, plus experience rebuilding PM teams and shaping product strategy with executive leadership.”
Christina Flores
Director-level Executive Operations & Administrative Leader in government, nonprofit, and private office settings
“Executive operations/project leader who managed cross-entity priority initiatives for Eric Schmidt’s family office, driving alignment through structured reporting and dashboards. Led a board-level digital transformation at ACC, moving a 14-member Board of Trustees from paper processes to board software, and brings high-discretion experience supporting Senator Warner.”
Bryan Holland
Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems
“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”
Emmanuel Ngalima
Mid-Level Software Engineer specializing in geospatial AI and cloud security automation
“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Executive product and technology leader specializing in AI, data platforms, and cloud transformation
Jayeetra Bhattacharjee
Mid-level AI/ML Engineer specializing in LLMs, NLP, and analytics automation
“AI/ML Engineer (TCS) who built and deployed a production LLM-powered audit transaction validation service to reduce manual review of unstructured transaction records and comments. Implemented a LangChain/Python pipeline for extraction/normalization and discrepancy detection, with strong production reliability practices (decision logging, dashboards, labeled eval sets) and a human-in-the-loop auditor feedback loop to improve precision/recall under strict data-sensitivity and near-real-time constraints.”
Lavrenti DeLavrenti
Director-level Technology Leader specializing in cloud-native platforms, AI/ML, and SaaS
“Engineering leader (Director/VP level) who has repeatedly aligned product and engineering through ROI-driven quarterly roadmaps and strong stakeholder communication, including board presentations. Built a parallel cloud team to migrate an on-prem product to the cloud, credited with delivering $9M ARR, and led a Python monolith-to-serverless event-driven microservices transformation. Currently manages distributed teams across Mexico, India, and the US using pod-based structures, clear KPIs, and a supportive accountability culture.”
Rob Wlaschin
Director-level Engineering Manager specializing in AI platforms, FinTech, and Healthtech
“Serial entrepreneur building three distinct products: a context-aware AI chatbot, a connected TV companion-screen platform with an implementation client, and gamerogue.net, a mobile-optimized web-based virtual tabletop marketplace currently seeking funding. Brings hands-on fundraising experience, familiarity with the VC/accelerator ecosystem including YC, and a notably pragmatic approach to validating ideas based on existing market demand rather than speculative adoption.”
Alexander Meyer
Senior/Lead Game Developer specializing in Unity and cross-platform multiplayer games
“Veteran Unity game developer with extensive multiplayer networking experience (Photon PUN2/Quantum/Fusion, Unity Netcode), including work on Payday: Crime War and an in-development arena battler using Invector + PUN2. Also builds cloud backends for Unity titles (Azure/PlayFab/Firebase, SQL, CI/CD) and actively uses multiple AI assistants to speed up architecture and implementation.”
HimavardhanReddy Donuru
Senior Front-End/UI Lead specializing in enterprise web applications
“Frontend/UI lead with enterprise-scale experience on Verizon's vendor portal, a complex workflow system for fiber infrastructure contracts used by vendors, inspectors, and managers. He combines React micro-frontend architecture, TypeScript, and UX optimization to streamline demanding operational workflows, including reducing contract turnaround time from one week to two days and improving power-user efficiency with keyboard shortcuts and copy interactions.”
Abnik Ahilasamy
Intern LLM/GenAI Engineer specializing in RAG, agentic systems, and low-latency inference
“Interned at Larsen & Toubro where they built and deployed an agentic RAG document question-answering system to reduce time spent searching documents and improve trustworthiness. Implemented ReAct-style multi-step orchestration with LangChain/LlamaIndex plus evidence-bounded generation, grounding/citations, and rigorous evaluation—cutting latency ~40%, hallucinations ~35%, and unsafe outputs ~40% while collaborating closely with non-technical business/ops stakeholders.”
Alex Nguyen
Junior Applied AI Engineer specializing in LLMs, RAG, and agentic systems
“Co-founded a healthcare AI startup building and deploying software directly with end users, emphasizing rapid shipping, deep user interviews, and workflow-first adoption. Has hands-on production deployment experience on AWS (including diagnosing a silent AWS App Runner failure caused by an ARM vs amd64 Docker build mismatch) and is motivated by customer-facing, travel-heavy roles to keep engineering tightly connected to real-world usage.”
Sai Ganesh nelluri
Mid-level Generative AI Engineer specializing in LLM systems and RAG
“Currently at Huntington Bank, built a production-grade RAG system that helps business/operations teams get grounded answers from large volumes of internal enterprise documents. Owns ingestion and FastAPI backend, tuned hybrid BM25+vector retrieval and chunking for relevance, and evaluates reliability with metrics and observability (LangSmith, CloudWatch, Prometheus/Grafana) while partnering closely with non-technical stakeholders.”
Cristian Vega
Senior AI/ML Engineer specializing in Generative AI and RAG
“ML/NLP practitioner at Morf Health focused on unifying fragmented healthcare data by linking structured patient/encounter records with unstructured clinical notes. Has hands-on experience with transformer embeddings, vector databases, and domain fine-tuning, plus rigorous evaluation (precision/recall) and human-in-the-loop validation with clinical SMEs to make pipelines production-grade.”
HIMANSHU SHARMA
Mid-level AI Solutions Engineer specializing in enterprise GenAI and automation
“Built and shipped multiple production LLM/agentic systems, including an agentic RAG NL-to-SQL analytics app that cut manual reporting from 9 hours/week to 15 minutes by grounding on schema-aware retrieval and robust fallback/monitoring. Also implemented a LangChain supervisor-orchestrated enterprise IT automation agent that routes requests for search, identity validation, and action execution, and created a RAG search tool spanning Jira/Confluence/SharePoint for operations stakeholders.”
Hrishikesh Gawde
Mid-level Software Engineer specializing in AI and FinTech platforms
“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”
Aditya Rao
Mid-level Software Engineer specializing in backend, AI, and distributed systems
“Software engineer with 4.5 years of startup experience across programmatic advertising, health tech e-commerce, and automobile diagnostics, plus both bachelor's and master's degrees in CSE. Built an agentic global supply chain platform in a hackathon using a highly structured AI-first workflow, and has hands-on experience designing multi-agent debate systems, rollout safeguards, and observability-driven production fixes.”