.png){kind=logo}
Vetted Problem Solving Professionals
Pre-screened and vetted.
Tanmayee Chandanam
Mid-level Data Scientist specializing in recommender systems, NLP, and real-time ML pipelines
“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.”
YAKKALI PAVAN
Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”
Steven Herron
Executive product leader specializing in technology strategy and product delivery
“Enterprise product leader focused on rebuilding complex operational platforms and AI-assisted workflow systems for support and operations teams. Particularly strong in messy, cross-functional transformation work—aligning engineering, design, operations, leadership, and compliance around measurable outcomes—and brings a clear human-centered AI philosophy centered on augmenting expert judgment rather than automating it away.”
Senior Software Test Engineer specializing in cross-platform QA and data-driven testing
Senior Performance Marketing Leader specializing in paid search and growth analytics
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Senior Software Engineer specializing in cloud-native microservices and AI-enabled products
Executive hospitality & real estate leader specializing in global hotel operations and asset management
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/LLM integration
Mid-level investment and economic analyst specializing in venture capital and FinTech
Director-level product leader specializing in AI-driven healthcare and enterprise SaaS
Director of Operations & Engineering specializing in advanced manufacturing and EV production
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Mid-level AI/ML Engineer specializing in LLM, RAG, and multimodal systems
Senior Software Engineer specializing in cloud microservices and data pipelines
Junior Data Scientist & Data Engineer specializing in ML and scalable data pipelines
Mid-level Full-Stack Engineer specializing in scalable web platforms and AI/ML tooling
Karan Mehta
Director-level Business Operations & GTM Strategy leader specializing in analytics and performance
“ZS consultant/product owner who repeatedly turns vague GTM performance goals into decision-centric analytics products and operating rhythms. Has scaled analytics initiatives from pilots into $1M+ platforms with 100+ leader adoption, and tied measurement tools to material business outcomes (e.g., $10M+ incremental revenue impact) through change management and cross-functional alignment.”
Tathya Shah
Intern software engineer specializing in AI, NLP, and cloud systems
“Full-stack builder with a strong hackathon track record who has shipped user-facing products in healthcare and geopolitical risk analysis. Built a telehealth symptom-to-care routing app using Python NLP and a React/TypeScript stack, and also created OrbisScope, a HackRU 2025-winning platform that analyzed 1M+ records from 30+ live RSS feeds with 98% predictive accuracy.”