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Vetted GPT Professionals
Pre-screened and vetted.
Mid-level Software & ML Engineer specializing in cloud data platforms and MLOps
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Senior Software Engineer specializing in event-driven microservices and GenAI for payments
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Mid-level Full-Stack Software Engineer specializing in cloud-native systems and GenAI
Mid-level Software Engineer specializing in AI platforms and distributed systems
Director-level AI product leader specializing in healthcare technology
Mid-level GenAI/ML Engineer specializing in LLMs, RAG, and agentic AI
Jacob Boyle
Senior business analytics consultant specializing in pricing and go-to-market strategy
“Consultant with an unusual blend of federal contracting, cybersecurity engagement leadership, and PE-backed commercial strategy work. Completed a Master's in Business Analytics while working full time, then drove analytically intensive pricing and go-to-market projects at Blue Ridge, including a tax software engagement with $13-27M projected first-year impact and a self-identified $3-4M opportunity.”
Senior Data Engineer specializing in multi-cloud data platforms and generative AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Executive product and technology leader specializing in AI, data platforms, and cloud transformation
Johanna Bernal
Mid-level Merchandising & Inventory Planning professional specializing in lighting and home retail
“Merchandising/sourcing professional from World Market with deep experience building and optimizing home/fashion partnerships end-to-end—using tariff-driven margin pressure to shift sourcing outside China while maintaining design elevation. Highly metrics-driven across OTB, SKU productivity, margin/IMU, full-price sell-through, attachment rate, and digital conversion, and comfortable managing 50+ vendor negotiations simultaneously.”
Naga Gayatri Bandaru
Mid-level AI/ML Engineer specializing in MLOps and production ML systems
“Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.”
Soham Patel
Mid-level Machine Learning Engineer specializing in healthcare NLP and MLOps
“ML/AI practitioner in healthcare (Syneos Health) who has deployed production clinical NLP and risk models. Built a BERT-based physician-note information extraction system on Docker + AWS SageMaker (reported ~42% retrieval improvement) and automated retraining/deployment with Airflow and drift detection, while partnering closely with clinicians to drive adoption (reported ~18% readmission reduction).”
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.”
Sarthak Singh
Mid-level Full-Stack Engineer specializing in cloud-native systems and LLM applications
“Customer-support/engineering background spanning Informatica PowerCenter ETL and IBM demos/workshops, with hands-on experience hardening data workflows for production (error tables/reject links, validation, restart strategies, alerting, performance tuning). Also demonstrates a clear, systems-level approach to diagnosing LLM/agentic workflow issues (prompt/RAG/tooling/memory) using instrumentation and iterative fixes, and has partnered with sales on POCs by defining success metrics and mapping solutions to customer architectures.”
Hruday Vuppala
Junior Software Engineer specializing in Full-Stack and ML for FinTech
“Full-stack engineer with fintech trading-platform experience who shipped and operated a real-time portfolio P&L/performance feature end-to-end (React + Node/WebSockets + MongoDB) on AWS, including significant performance tuning under peak trading load. Also built a Spark-based trading analytics pipeline with idempotency and reconciliation for auditability, and has a personal React/TS + Node/Express project (Artsy) with JWT auth and schema-evolution practices.”
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.”
Nikitha Kommidi
Mid-level AI/ML Engineer specializing in fraud detection, NLP, and MLOps
“Built a production real-time fraud detection and customer-support automation platform at Citibank, tackling extreme class imbalance (reported ~1:5000) and strict latency constraints. Combines hands-on MLOps (Airflow, Kubernetes, MLflow; Snowflake/Spark/S3 integrations; CI/CD model promotion) with cross-functional delivery to Risk & Compliance focused on interpretability and reducing false positives.”