Vetted Recommender Systems Professionals

“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”

“ML/LLM engineer who has built and productionized a large multimodal LLM pipeline end-to-end—fine-tuning a 20B+ parameter model with distributed/FSDP training and deploying on Kubernetes via Triton for ~5x throughput. Strong focus on reliability and safety (monitoring with SHAP, guardrails, A/B testing) with reported ~22% relevance lift and reduced harmful/incorrect outputs, plus experience orchestrating ETL/retraining workflows with Airflow across S3/Snowflake/RDS.”

“Finance professional (Citi) blending strategic account work with hands-on analytics/automation: led Asia’s first digital banking conferences and delivered 6 institutional client acquisitions. Built self-serve dashboards/VBA tools and self-taught Python to create an ML classifier still used daily, and uncovered ~$5M in untapped annual revenue. Experienced partnering with compliance/legal and navigating sensitive regulatory information in FX markets.”

“VC-focused sourcing candidate with a multi-channel approach spanning technical research communities (GitHub/arXiv/Hugging Face) and LinkedIn, plus access to founder networks like NVIDIA Inception. Has experience initiating cold founder relationships and progressing them through intro calls into deeper technical and business diligence, with a structured weekly pipeline/partner update cadence and thematic notes on frontier technologies.”

Jared Hoffen

Screened

Senior AI Engineer specializing in LLM agents, RAG, and ML infrastructure

Las Vegas, USA12y exp

“Production-focused AI/ML engineer who has owned LLM agent and RAG systems end-to-end, from experimentation through deployment, monitoring, and iterative optimization. Stands out for building evaluation and observability layers around GenAI systems and delivering measurable gains in task success, regression detection speed, and token efficiency in production.”

“Engineer with experience at Reddit working on high-scale backend and infrastructure problems, including API redesign for products serving 150M+ daily active users. They also built a production AI agent for automated bug triage with 97% accuracy and substantial time savings, and have hands-on full-stack/AI side-project experience using React, TypeScript, Supabase, and LLMs.”

“AI/LLM engineer who built and productionized an internal RAG-based knowledge system that ingests diverse sources (PDFs, Markdown, Slack), scaled retrieval with distributed FAISS and parallel ingestion, and reduced hallucinations via re-ranking, grounding prompts, and post-generation validation. Also has hands-on orchestration experience with Airflow and Kubernetes for reliable ETL/model pipelines, monitoring, and staged rollouts; reports ~15% accuracy improvement and adoption as the primary internal knowledge tool.”

“Embodied AI/robotics ML engineer with hands-on experience deploying POMDP-based reinforcement learning controllers on real mobile robots and vehicle fleets. Strong in sim-to-real robustness (domain randomization) and production rollout practices (HIL, shadow-mode, canaries, safety instrumentation), and has published related work (mentions a NeurIPS paper).”

Ami Foelz

Screened

Principal Product Leader specializing in AI personalization, search, and e-commerce

Remote, US18y exp

“Product leader with experience building product organizations from scratch at both Amazon and LTK, with a strong focus on AI-powered search, discovery, personalization, and monetization. They combine strategic product leadership with hands-on UX and technical fluency, and have delivered measurable business impact including a 17% conversion lift and 21% revenue growth at LTK.”

“Product leader with 8+ years across AI, platform, data, and customer-facing products, including personalization, discovery, loyalty, digital ordering, and conversational AI. Notable wins include launching an AI recommendation engine for Baskin Robbins that lifted conversion 20% and AOV 12%, and improving Apple discovery feature adoption by 25% through phased delivery under complex data-quality constraints.”

“Product and engineering leader with experience spanning Mozilla, CDW, Interac, and EdTech, including launching Firefox Translations as a privacy-preserving on-device AI feature that reached 1M+ DAU in four weeks. Has also driven $21M in quarterly revenue through AI-powered enterprise device refresh programs and managed 3 cross-functional teams across product, design, QA, and engineering. Brings a distinctive mix of AI product execution, security/identity experience, and a human-centered mission orientation shaped by EdTech work and a Master's in Technology and Social Change.”

“Fintech engineer with high-ownership startup experience at Column, where they led a Go rewrite of a core banking API that cut transaction errors by 98% and increased throughput by 40%. Brings a rare mix of backend systems depth in compliance-sensitive money movement infrastructure and frontend platform experience building React design systems, with earlier experience at Meta on recommendation APIs and News Feed.”

Gemma Guan

Screened

Senior Data Analyst specializing in marketing analytics and digital strategy

9y exp

“Marketing and brand communications professional who has operated in a product-adjacent capacity and recently built a web app, Sync Circle, end to end as a graduate project. Brings a blend of digital customer experience, MVP product thinking, and research-data workflow experience, including AWS-based scraping and documentation practices relevant to structured, transparent research environments.”

“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”

“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”

Sandeep Rohilla

Screened

Principal Backend/Platform Engineer specializing in GenAI agent orchestration and LLM pipelines

San Francisco, CA19y exp

“LLM-focused engineer/sales-engineering profile with hands-on experience productionizing complex systems: scalable distributed architecture, multi-tenant monitoring, canary/shadow rollouts, and robust fallback strategies. Demonstrated real-time troubleshooting depth (p99 latency spikes traced to DB connection limits causing retry storms) and strong developer-facing communication via RAG workshops and live, customer-specific demos that helped close deals quickly.”