Vetted Agile Professionals

“CTO-minded builder seeking to join a startup; previously created an AI-driven platform that abstracted away DevOps and infrastructure for drug discovery researchers. Emphasizes high-leverage, zero-to-one execution with managed cloud/open-source tooling, and a strong reliability/reproducibility mindset validated against existing scientific pipelines.”

Nikhil Reddy

Screened

Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms

San Francisco, CA5y exp

“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”

Krishna Reddy

Screened

Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants

New York, NY6y exp

“Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.”

michael rosenbloom

Screened

Executive technology services leader specializing in cloud, managed services, and outsourcing

Tel Aviv, Israel29y exp

“Operator with founder/COO/CEO experience in professional services, managed services, and cloud services (Adjoined Consulting, Virtustream, Lemongrass). Known for instrumenting businesses with real-time pipeline/backlog-to-resource planning systems and for building sales organizations end-to-end, including bookings-based comp plans that drove ~40% CAGR. As VC-backed non-founder CEO, scaled Lemongrass from ~$25M to ~$100M run-rate and applied AI to de-risk SOW/costing and to improve service desk efficiency and gross margin.”

“Technology-first venture builder with strong familiarity in the VC/accelerator landscape, specializing in greenfield innovation, M&A, and large-scale transformation/modernization. Described building a venture-funded retail banking greenfield startup to integrate lending-as-a-service for SME lending while meeting federal and local financial services compliance requirements.”

Brayden Tremper

Screened

Senior Software Engineer specializing in game UI systems and gameplay features

Olympia, WA4y exp

“Unity/C# game engineer with hands-on ownership of live-service systems, including a real-time multi-channel chat feature for Squid Game: Unleashed that launched alongside Squid Game Season 2 on Netflix and increased player retention and engagement. Brings a strong blend of mobile performance optimization, server-authoritative architecture, multiplayer systems, and practical experimentation with LLM-assisted narrative tooling.”

“Public speaker and technology strategist focused on how space will impact other industries, with audiences ranging from mid-career professionals to executives. Has operated across the startup ecosystem through Kauffman Foundation, Singularity University, and Starburst, and previously served as CTO at Gantri building process and ROI models to improve system performance. Especially compelling for early-stage, frontier-tech, or space-adjacent companies that need someone who can bring order to ambitious ideas.”

“Operator with consulting and startup experience who has led founder-level, zero-to-one initiatives across highly complex domains—from conceiving and launching an $80M, 80m maritime disaster-response vessel for Global Support & Development (Sergey Brin’s org) to acting as a cross-functional leader at Windfall Bio spanning regulatory, GTM, partnerships, and R&D. At Deloitte, owned the Omnia ESG software roadmap and drove >30% faster delivery through standardization/automation, and was tapped to train other managers on their operating cadence system.”

Shuvam Mitra

Screened

Mid-level Data Scientist specializing in anomaly detection and production ML

Pittsburgh, PA4y exp

“Interned at Backblaze building production AI systems for incident response and security operations, including an internal LLM-powered incident triage assistant that used Snowflake + RAG over historical tickets/postmortems and delivered results via Slack and a web UI. Emphasizes reliability (PII filtering, grounding, schema validation, fallbacks) and rigorous evaluation/observability (offline replay, partial rollouts, time-to-first-action metrics, Prometheus/Grafana).”

“ML/AI engineer with hands-on ownership of production computer vision and GenAI systems, spanning real-time public safety video analytics and RAG-based knowledge assistants. Stands out for translating research-oriented approaches into scalable, monitored production systems with clear business impact, including 50% latency reductions, 25% faster response times, and 40% lower document search time.”

“Product leader with notable experience launching Uber's first support chatbot, scaling it through localization, richer self-serve UX, and platform investments while driving measurable gains in CSAT and automation. Also brings regulated-industry experience from Eaze, where they led a seed-to-sale compliance integration, plus people management experience mentoring PM interns into full-time roles.”

“ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.”

“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”

Aniket Singhal

Screened

Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms

Seattle, WA8y exp

“Backend engineer with Amazon experience building large-scale, automated financial/accounting and pricing systems on AWS. Designed a fault-tolerant Step Functions + DynamoDB workflow platform handling 100K+ messages/sec to compute fair values and generate journal entries in under 3 seconds, and led safe API refactors using shadow mismatch testing. Also uncovered a major legacy pricing bug (tax vs non-tax swap) that cut mismatch rates from 5–10% to ~0.5% and materially improved price acceptance/business outcomes.”

Michael Kaufman

Screened

Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms

Seattle, WA5y exp

“iOS-focused engineer who led feature development for Amazon Books/Kindle (e.g., Series & Story So Far recaps, Kindle Memories) and introduced pure Swift packages while building sync and content download systems. Also has full-stack experience (React/TypeScript + Node with REST/GraphQL) and strong AWS operations (CDK/CI-CD, CloudWatch, canaries, autoscaling), plus founder experience at GLXY.ai shipping an early hardware MVP (weight sensors) under tight constraints.”

Jim Glassman

Screened

Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms

Houston, TX16y exp

“Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.”

“Talent/Recruiting Operations leader with large-scale, multi-region experience at Amazon and Home Depot, specializing in standardizing hiring workflows across 30+ sites. Known for building robust SOP/SLA frameworks and Power BI analytics (40+ dashboards) that drove a 30% time-to-fill reduction and cut agency reliance by 25%, plus leading enterprise ATS/tool integrations with cross-functional partners (IT, Security, Legal, Finance).”

“CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.”