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Vetted Agentic AI Professionals
Pre-screened and vetted.
Shreya Jena
Mid-level Software Engineer specializing in distributed backend systems and search platforms
“Backend/data-systems SWE (2 years) who has built production ETL/streaming workflows (Kafka, Debezium, Elasticsearch) and troubleshot real SQL performance regressions caused by indexing/type issues. Also ships full-stack personal projects in Next.js App Router + TypeScript with Postgres, emphasizing reliability via constraints, idempotency, and strong observability (Grafana/Kibana).”
David Lee
Executive Technology Leader (CTO/CIO) specializing in cloud modernization, AI automation, and enterprise systems
“Exploring entrepreneurship with two concepts: a K-beauty skincare line tailored to the Indian market and darker complexions, and a tech-enabled services business helping legacy companies adopt AI safely. Has early-career experience working with Battery Ventures as an investor in the startup Fasturn and a point of view on deeper VC/studio operational partnership models.”
Abhirup Chakraborty
Junior Software Engineer specializing in backend systems, AI, and search
“Built a complex graph-based search engine to find connections between people and has hands-on experience designing multi-agent coding pipelines that move features through implementation, test generation, testing, and sanity checks. Stands out for treating AI agents like an engineering team, with shared-memory coordination, queue signaling, and completeness-focused guardrails to improve reliability and reduce ambiguity.”
Santhosh padamatinti
Senior Engineering Manager specializing in data platforms, microservices, and enterprise GTM analytics
“Engineering leader (player-coach) recently at Autodesk driving a major sales-motion transformation spanning account hierarchy, commissions/quotas, and downstream financial/sales forecasting impacts. Led cross-functional design with enterprise architects and shipped the end-to-end release, using POCs and Anaplan what-if modeling to validate a risky hierarchy change while coordinating delivery across India/Singapore teams and instituting structured Jira-based tech debt/support tracking and automation (dbt, GitHub Copilot).”
Mid-level Strategy Consultant specializing in enterprise technology and financial services
Executive engineering and product leader specializing in Healthcare AI and cloud platforms
Junior Software Engineer specializing in AI platforms and backend systems
Director-level Enterprise Technology Architect specializing in cloud networking and AI platforms
Mid-level computational biologist specializing in AI, data systems, and healthcare analytics
Executive technology leader specializing in AI, cloud platforms, and enterprise SaaS
Mid-level AI/ML Engineer specializing in LLM agentic systems and MLOps
Senior Product Manager specializing in B2B SaaS MarTech/AdTech and AI automation
IT Infrastructure & Operations Executive specializing in hybrid cloud, data centers, and resilience
Director-level Engineering Leader specializing in Trust, Security, and Agentic AI
Executive AI strategy and engineering leader specializing in healthcare and federal AI
Senior Software Engineer specializing in LLMs, RAG, and conversational AI systems
Junior Software Engineer specializing in LLM systems and software supply-chain security
Mid-level Machine Learning Engineer specializing in LLMs and ML at scale
Senior Data Scientist / Machine Learning Engineer specializing in production AI systems
Mid-level AI/ML Engineer specializing in financial services and generative AI
Mid-level AI/ML Engineer specializing in cloud MLOps and agentic RAG systems
Senior Data Scientist specializing in LLMs, Agentic AI, and MLOps