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Vetted Streamlit Professionals
Pre-screened and vetted.
Intern Software Engineer specializing in AI/ML and LLM retrieval systems
Senior Technology Consultant specializing in cloud, data engineering, and AI solutions
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Ashish Ernest Jeldi
Senior Data Scientist specializing in LLMs, agentic AI, and MLOps
“Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.”
Yernar Smagulov
Mid-level Software Engineer specializing in autonomous vehicle operations and test automation
“Hands-on Python/IoT engineer with experience spanning research labs and autonomous vehicles (Zoox), focused on making data/decision-support systems reliable in production. Has deployed and Dockerized Python tools with pinned dependencies, built sensor-based on-prem data collection systems (aquafeed evaluation), and troubleshot telemetry issues down to a failing switch port using logs, multimeter checks, and network diagnostics.”
Dhruv Arora
Senior Generative AI Implementation Consultant specializing in RAG and agentic AI on cloud
“LLM/RAG practitioner who built an AWS-based enterprise document search and summarization platform with RBAC and scaled it to 10K+ users, solving relevance issues via contextual chunking and hybrid retrieval. Also designed agentic workflows for a telecom forecast-validation use case using sub-agents, tool APIs, and strict context management, and has proven pre-sales influence (supported a $300K manufacturing deal with a roadmap-driven pitch).”
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.”
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI
Mid-level Backend Software Engineer specializing in FinTech payments, risk, and real-time systems
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Junior AI Prompt Engineer specializing in LLMs, RAG, and conversational AI
Intern Software Engineer specializing in AI/ML and LLM applications
Mid-level AI/Software Engineer specializing in NLP pipelines and LLM-driven automation
Senior AI/ML Engineer specializing in Generative AI and LLM applications
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps
Staff Platform/ML Engineer specializing in agentic AI, RAG, and cloud infrastructure