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Vetted Streamlit Professionals
Pre-screened and vetted.
Intern Data Scientist specializing in NLP and Large Language Models
Mid-level AI/ML Engineer and Developer Educator specializing in GenAI, RAG, and AI community building
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Harinee Mohanakrishnan
Junior AI/ML & Cloud Software Engineer specializing in LLM applications
“AI engineer (2+ years; pursuing an online MS at UIUC) who has shipped an AI-powered voice screening platform end-to-end on GCP with strong production monitoring and measurable hiring-process impact (80% reduction in unqualified pass-through; ~50+ hours saved per role). Also built and deployed an AWS-based context-aware hybrid search system using OpenSearch as a vector store, and has hands-on experience with multi-agent LLM orchestration (ReAct) and structured-output guardrails.”
“Built and deployed a production RAG-based LLM Q&A and summarization platform for internal documents, emphasizing grounded answers with structured prompting and citations to reduce hallucinations. Experienced orchestrating end-to-end LLM workflows with LangChain plus cloud pipelines (Azure ML Pipelines, AWS), and runs iterative evaluation using both metrics (accuracy/hallucination/latency/cost) and real user feedback to drive reliability.”
Yash Vishe
Junior Software Engineer specializing in LLM systems, data engineering, and ML
“Backend/ML systems engineer with experience at SDSC, UCSD, and Media.net, building production semantic dataset/model discovery using embeddings + Solr KNN and LLM-based intent/reranking at 5M+ dataset scale. Emphasizes offline/online separation for predictable serving, has delivered measurable gains (23% retrieval accuracy, 38% latency reduction) and helped secure a $3M+ NSF grant.”
Pratik Jaiswal
Mid-level AI/ML Engineer specializing in financial services ML and MLOps
“ML engineer/data scientist with M&T Bank experience who built a production reinforcement-learning portfolio analytics tool for wealth management, emphasizing near real-time performance via batch/serving separation and robust generalization through stress-scenario backtesting and RL regularization. Strong MLOps background (Airflow, Grafana, MLflow) and proven ability to drive adoption with non-technical stakeholders using KPI alignment and SHAP-based explanations.”
Senior Data Scientist specializing in GenAI, LLM systems, and production ML
Junior Software Engineer specializing in full-stack development and data engineering
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Intern-level Software Engineer specializing in backend systems and applied AI
Mid-Level Software Engineer specializing in full-stack TypeScript/React and platform tooling
Mid-level Backend/Platform Engineer specializing in distributed systems and data platforms
Mid-level Machine Learning & Generative AI Engineer specializing in enterprise RAG and MLOps
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Entry-Level AI Support Engineer specializing in ML tooling and full-stack debugging
Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics