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Vetted NumPy Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data pipelines and analytics (AWS/Azure)
Mid-level Data Engineer specializing in big data pipelines and cloud data platforms
Mid-level Healthcare Data Analyst specializing in claims, EHR, and population health
Mid-level Business Intelligence Engineer specializing in AI-powered analytics
Mid-level Revenue Operations Analyst specializing in business analytics and Salesforce
Senior Data Scientist specializing in ML engineering and cloud analytics
Mid-level AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level Software Engineer specializing in AI-driven full-stack systems
Mid-level AI Engineer specializing in machine learning and generative AI
Staff Software Engineer specializing in distributed systems, blockchain, and AI/ML platforms
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Ashutosh Khatavkar
Mid-level SDET/Software Engineer specializing in test automation and CI/CD
“AAA game QA professional from Ubisoft (For Honor) with deep live-service multiplayer experience. Known for owning network/competitive integrity risks and building a custom network simulation tool to reliably reproduce desync issues, accelerating debugging and saving 100+ hours. Strong end-to-end QA process skills spanning test planning, triage, regression, and release verification using JIRA/TestRail.”
Likitha Kukunarapu
Mid-level Applied AI Engineer specializing in data engineering and healthcare AI
“Built production LLM agents spanning document Q&A, financial insight generation, and ERP-like operational data workflows, with a strong focus on reliability, grounding, and evaluation. Stands out for translating LLM systems into measurable business outcomes, including 70%–80% support workload reduction and a fallback-rate improvement from 18% to 8% through targeted RAG iteration.”
Ramesh Ramanathan
Executive HR and IT consultant specializing in talent, operations, and AI-enabled business functions
“High-volume full-desk recruiter who specializes in driving difficult searches to close with tight process discipline. In one standout example, they filled a highly niche Swahili-speaking video journalist role in DC by moving beyond job boards and networking into diaspora communities nationwide, ultimately relocating and closing a candidate from Maine.”