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Vetted Generative AI Engineers in Texas
Pre-screened and vetted in Texas.
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Harish Gaddam
Mid-level AI/ML Engineer specializing in LLM agents and RAG systems
“LLM/agentic systems builder at Verizon who deployed a LangGraph-orchestrated multi-agent ticket-automation platform with RAG (FAISS) to replace brittle rule-based bots. Improved routing correctness by ~30–40%, hit ~300ms latency targets via model routing, and reduced ops workload by ~60% through tight iteration with non-technical stakeholders and strong testing/observability practices.”
Sri Harshitha Yannam
Junior Software Engineer specializing in AI/ML and cloud platforms
“LLM/agent engineer who shipped a production "Memory Assistant" at HydroX AI, building a LangChain/LlamaIndex RAG memory pipeline on ChromaDB/FAISS with robust fallbacks (BERT/BART), prompt-injection mitigation, and 99.9% uptime monitoring. Also built a multi-step customer support agent using Rasa + OpenAI Assistants API with structured tool calling, guardrails, and human-in-the-loop escalation, and has experience hardening agents against messy ERP data via Pydantic validation, idempotency, and transactional outbox patterns.”
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and multi-agent systems
Senior Generative AI Engineer and Data Scientist specializing in enterprise ML and RAG systems
Mid-level Generative AI Developer specializing in LLM apps and RAG for FinTech and payments
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic AI
Sujeeth Rajkumar
Mid-level Generative AI Engineer specializing in LLMs and enterprise AI
“Built and owned an enterprise LLM/RAG document intelligence platform for PNC Financial Services in a compliance-heavy environment, focused on grounded answers over internal finance and policy documents. Stands out for combining GenAI product delivery with production engineering discipline, delivering 60% faster document review and materially better answer quality while creating reusable FastAPI-based AI services for multiple teams.”
Siva Manikanta Lakumarapu
Mid-level AI/ML Engineer specializing in Generative AI and NLP
“AI/LLM engineer with production experience building secure, scalable compliance-focused generative AI systems (GPT-3/4, BERT) including RAG over internal regulatory document bases. Has delivered end-to-end pipelines on AWS with PySpark/Airflow/Kubernetes/FastAPI, emphasizing privacy controls, monitoring, and iterative evaluation (A/B testing). Also partnered closely with bank compliance officers using prototypes to refine NLP summarization/classification and reduce document review time.”
Venkata Surendra Kommineni
Senior AI/ML Engineer specializing in Generative AI and agentic systems
“Built and deployed an agentic RAG assistant in production to automate enterprise knowledge search and multi-step workflows with tool calling, tackling real-world issues like hallucinations, retrieval accuracy, and latency. Demonstrates strong LLMOps and orchestration depth (MLflow, Airflow, LangGraph/LangChain/LlamaIndex) plus a metrics-driven approach to agent testing/evaluation and cross-functional delivery with business stakeholders.”
Senior Generative AI Engineer specializing in LLM applications and cloud-native AI platforms
Mid-level Generative AI Engineer specializing in LLM applications and RAG
Mid-level Generative AI Engineer specializing in LLM agents, RAG systems, and workflow automation
Bhavana G
Mid-level GenAI Engineer specializing in AI agents and RAG systems
“Built and deployed a production LLM-based RAG agent platform adopted by multiple business teams (Marketing, GTM, Recruiting, Customer Support) to automate knowledge search, Q&A, and content generation. Emphasizes production-grade reliability (grounding/validation/guardrails), rigorous evaluation/monitoring, and cost-aware scaling via model tiering, prompt/retrieval optimization, and caching using LangChain/LangGraph orchestration.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and full-stack development
Senior GenAI Engineer specializing in enterprise LLM systems and RAG platforms
Pranav Marla
Mid-level AI/ML & Full-Stack Engineer specializing in LLM agents and generative AI
“LLM/agent builder who shipped a live consumer AI-agent app (kalpa.chat) that visualizes complex reasoning as interactive graphs and abstracts multi-provider model usage via a unified wallet. Professionally has applied LangChain/LangGraph to IVR parsing and to scaling a football video-generation pipeline at DAZN, including shipping a VAR-specific retrieval/order fix via SQL after iterating with a non-technical PM.”
Gayatri Devi Dasari
Mid-level GenAI/ML Engineer specializing in LLM systems and RAG chatbots
“Built and shipped a production agentic LLM analytics platform that lets non-SQL business users query relational databases in plain English via a RAG + LangChain/LangGraph workflow and FastAPI service. Emphasizes safety and reliability with guardrails (validation/access control), testing/evaluation frameworks, and performance optimization (caching, monitoring, Dockerized scalable deployment), reducing dependency on data teams and speeding analytics turnaround.”