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Vetted Exploratory Data Analysis Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in ML, computer vision, and data engineering
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and GPU-accelerated deep learning
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Mid-level Financial Analyst specializing in risk, regulatory reporting, and forecasting analytics
Junior Robotics & AI Engineer specializing in autonomous systems and machine learning
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Junior Robotics Engineer specializing in ROS2 autonomous systems and perception
Mid-level QA Engineer and Full-Stack Developer specializing in Apple platforms and ML
Senior Machine Learning Engineer specializing in MLOps and LLM/Agentic AI systems
Intern Data Scientist specializing in analytics and healthcare data
Senior Data Scientist specializing in LLM products, voice agents, and FinTech risk modeling
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and big data on cloud platforms
Mid-level Business Analyst specializing in finance, data analytics, and AI infrastructure
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”
Surya Vardhan
Junior Operations Data Analyst specializing in KPI dashboards and SLA reporting
“Manufacturing/quality-focused professional with experience at Sikorsky Aerospace supporting aircraft parts production for clients such as Boeing and Cobham. Drove data-driven process improvements (cleaned/visualized production data) and redesigned material usage to cut delays by ~20% and reduce waste, while coordinating across production, inspection, QC, and delivery readiness.”
Shreyas Darade
Mid-level Data Scientist specializing in business intelligence and machine learning
“Internship experience building a production LLM-powered podcast operations agent that automated lead intake (HubSpot), guest research, scheduling (Calendly), meeting-summary evaluation (Gemini), and human approval via Slack bot—while retaining rejected candidates for future outreach. Also contributed to ideation of a multi-agent orchestration framework with parsing and task routing, and emphasized reliability via structured prompts, HITL feedback, and prompt-based test sets.”