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Vetted LangGraph Professionals
Pre-screened and vetted.
Intern Full-Stack/AI Engineer specializing in LLM applications and cloud-native web systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in NLP, fraud detection, and LLM applications
Mid-level AI/Data Engineer specializing in LLMs, RAG pipelines, and cloud data platforms
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Mid-level AI Software Engineer specializing in agentic AI, RAG, and data engineering
Mid-level Software Engineer specializing in AI and cloud data platforms
Entry-level Machine Learning Engineer specializing in LLM systems and AI infrastructure
Junior Software Engineer specializing in backend systems and logistics data pipelines
Mid-level AI Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Backend Software Engineer specializing in FinTech and distributed systems
Mid-level AI Engineer specializing in machine learning and generative AI
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.”
Venkata Tharun Seemakurthi
Mid-level AI Software Engineer specializing in automation, RAG, and data systems
“Founding AI engineer at an AI SaaS startup who built the full GTM knowledge and retrieval stack for non-technical teams, driving 60% less manual effort and 25% faster deployments. Also brings enterprise B2B SaaS integration experience from Wipro, including external API/documentation work for large-scale partner ecosystems.”
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.”
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”