.png){kind=logo}
Vetted LoRA Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and anomaly detection
Junior Software Engineer specializing in AI/ML and full-stack systems
Mid-Level Software Engineer specializing in full-stack, cloud, and LLM systems
Junior Software Engineer specializing in AI/ML and full-stack development
Senior Data Scientist specializing in Generative AI, NLP, and ML for banking and healthcare
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Senior Machine Learning Engineer specializing in Generative AI and LLM systems
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
GOWRI SHANKAR ANANTHULA
Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG
“ML/NLP practitioner who built a retrieval-augmented generation (RAG) system for large financial and operational document sets using Sentence-Transformers (all-mpnet-base-v2) and a vector DB (e.g., Pinecone), with a strong focus on retrieval evaluation and chunking strategy optimization. Experienced in entity resolution (rules + embedding similarity with type-specific thresholds) and in productionizing scalable Python data workflows using Airflow/Dagster and Spark.”
Ankita Mungalpara
Mid-level Data Scientist specializing in Generative AI and multimodal systems
“Recent J&J intern who built a conversational RAG agent and led a shift from a monolithic model to a modular RAG workflow, cutting response time from several days to under a second by tackling data fragmentation, context retention, and embedding/latency optimization. Also worked on a large (7B-parameter) multimodal VQA pipeline for healthcare research and stays current via NeurIPS/ICLR and open-source contributions.”