.png){kind=logo}
Vetted Recommender Systems Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Senior Software Engineer specializing in AI infrastructure and distributed systems
Principal Data Scientist specializing in Generative AI and MLOps
Senior Machine Learning Engineer specializing in GenAI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Executive technology leader specializing in AI, LLMs, search, and platform engineering
Senior Full-Stack Engineer specializing in cloud-native web and mobile applications
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Abhay Murjani
Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps
“Data/ML engineer with experience at American Express and Amazon, owning an end-to-end rewards redemption/liability ML pipeline (~200GB) with rigorous regulatory/audit validation and quarterly executive reporting. Also built web-scraped product datasets with anti-bot protections at a startup and helped modernize an authn/authz service using AWS, plus led early-stage migration work from an internal warehouse to GCP with CI/CD and cloud observability.”
Christopher Vezzuto
Principal Enterprise Architect specializing in product strategy and global platform modernization
“Engineering/technology leader from Ticketmaster who drove a domain-driven modernization strategy for legacy commerce platforms while launching new revenue features (add-on sales like merch/parking/hotels). Rebuilt and scaled teams post-COVID by reorganizing around business domains and implementing federated architecture governance, including a distributed-saga-based order orchestration approach that improved resilience and enabled partial-order success.”
Shuju Sun
Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment
“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”
Hansraj Pabbati
Senior Software Engineer specializing in AI/LLM systems and cloud backend platforms
“Built and owned an end-to-end AI-powered natural-language-to-SQL deployment within Oracle OCI/Autonomous Database, including enrichment pipelines, RAG-based retrieval, SQL generation APIs, and post-launch monitoring. Stands out for combining LLM production engineering with strong guardrails, stakeholder management, and operational rigor around accuracy, latency, hallucination mitigation, and reliability.”
Shubham Singh
Mid-level AI/ML Engineer specializing in speech, computer vision, and agentic GenAI
“Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.”
Amy Russ
Director-level Applied Science & AI/ML leader specializing in LLMs, RAG, and MLOps
“Active in the venture ecosystem as a Rogue Women's Fund fellow and angel investor, with memberships in Gaingels and Angel Squad (HustleFund). Interested in founding a company to leverage extensive experience, and evaluates ideas through market need and economic viability of the target population.”
Sanjana Reddy
Mid-level Backend Software Engineer specializing in cloud-native microservices
“Product-minded software engineer with experience shipping AI-powered financial insights (spend forecasting, cashflow, credit optimization) and building real-time analytics systems using React/TypeScript and FastAPI. Has designed microservices with RabbitMQ/gRPC and strong observability (Prometheus/Grafana/OpenTelemetry), and also built an internal Figma plugin adopted by designers that reduced export time by 50%.”
Yili Jin
Intern Software Engineer specializing in data systems and machine learning
“Internship experience at TikTok and nCino, with hands-on work spanning production Python data pipelines, recommendation-system feature workflows, Salesforce Apex automation, and flaky UI automation for a live stock recommendation platform. Stands out for a reliability-focused approach: anticipating failure modes, instrumenting observability, and turning ambiguous business processes into maintainable automated systems.”