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Vetted Data Scientists in Texas
Pre-screened and vetted in Texas.
Andrew Santoli
Senior Data Engineer/Data Scientist specializing in ML platforms, cloud data, and blockchain analytics
Nikita Makkena
Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics
Bhanu Kiran
Mid-level Data Scientist & AI Engineer specializing in NLP, LLMs, and predictive analytics
“AI Engineer with production experience building an LLM-powered conversational scheduling assistant (rules-based + OpenAI GPT agents) and improving responsiveness by ~40% through architecture optimization. Strong in orchestration (Airflow), containerized deployments, and data quality (Great Expectations/PySpark), with prior work automating population health reporting pipelines (Azure Data Factory → Snowflake) and delivering insights via Tableau to non-technical stakeholders.”
Varshitha Pendyala
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
“Built a production "Mini RAG Assistant" for internal document Q&A, focusing on grounded answers (anti-hallucination), retrieval quality, and latency/cost optimization. Uses LangChain/LangGraph for orchestration and applies a metrics-driven evaluation loop (including reranking and semantic chunking improvements) while collaborating closely with product stakeholders.”
Manideep Madavaram
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and LLM retrieval systems
Harshini Nimmala
Mid-level Data Scientist specializing in NLP, computer vision, and MLOps
Mitanshi Vyas
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems
Vamsi Krishna
Senior Machine Learning Engineer specializing in MLOps and Generative AI
“Built and deployed a production generative-AI copilot at Tungsten that automates invoice/form extraction template creation, reducing weeks of manual model-building work. Combines fine-tuned LLMs (PyTorch/HuggingFace) with OpenCV layout grounding to reduce hallucinations, and runs an end-to-end Kubeflow-based MLOps pipeline with drift monitoring, canary releases, and automated retraining.”
Sudheer Vadlamudi
Mid-level AI Engineer specializing in Generative AI and LLM agent systems
Adarsh Kanduri
Mid-level AI Engineer specializing in Generative AI agents and LLM production systems
Naga Tharun
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and MLOps
Sai Sanjana Das Thigulla
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
Nikhitha Pendlijeevi
Mid-level AI/ML Engineer specializing in Generative AI, multi-agent RAG, and FastAPI backends
Habtom Desta
Mid-level Data Scientist specializing in Python, ML, and BI dashboards
“Data/NLP practitioner who builds production-oriented pipelines for unstructured text: entity extraction, topic modeling (LDA/BERTopic), and semantic search using Sentence-BERT embeddings with FAISS. Emphasizes rigorous evaluation (coherence/silhouette + manual review), entity resolution with validation, and scalable workflow orchestration using Airflow/Prefect with Spark/Dask.”
Rutvik Gadhiya
Mid-level AI/ML Engineer specializing in NLP, LLMs, RAG, and MLOps