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Vetted Transformers Professionals
Pre-screened and vetted.
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.”
Jareena kowsar shaik
Mid-level Machine Learning & GenAI Engineer specializing in LLMs, RAG, and NLP
“Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.”
Bharath TVS
Senior Data Scientist specializing in NLP, LLMs, and Computer Vision
“Applied NLP/ML engineer with experience at KeyBank and Novartis building production document intelligence and entity-resolution systems in finance and healthcare. Has delivered end-to-end pipelines (Airflow + AWS) using transformers (DistilBERT/Sentence-BERT), vector search (FAISS/Milvus/Pinecone), and human-in-the-loop labeling to achieve measurable gains (40%+ faster queries; up to 88% F1 and 93% precision/90% recall in entity linking).”
Janvitha Mandyam
Mid-level AI/ML Engineer specializing in Generative AI and NLP
“GenAI/LLMOps practitioner who deployed a production RAG-based customer service and knowledge retrieval system for a global bank using LangChain, FAISS/Azure Cognitive Search, GPT-4/Claude, and Guardrails—driving a reported 35% Q&A accuracy lift while reducing handle time and escalations. Also partnered with non-technical leaders at CVS Health to deliver ML-driven supply chain risk and inventory insights via anomaly detection, NLG summaries, and stakeholder-friendly dashboards.”
Mid-level AI/ML Engineer specializing in risk modeling, NLP, and generative AI (RAG/LLMs)
Mid-level Data Analyst specializing in banking analytics and machine learning
Mid-level AI/ML Engineer specializing in NLP, recommender systems, and Generative AI
Mid-level AI Solutions Architect specializing in LLM, MLOps, and cloud AI systems
Mid-level Full-Stack Developer specializing in Healthcare IT and FinTech
Mid-level AI/ML Engineer specializing in RAG, LLMs, and MLOps for finance
Mid-level AI/ML Engineer specializing in LLMs, RAG systems, and MLOps
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Senior Computer Vision Engineer specializing in medical imaging and deep learning
Intern ML Engineer specializing in LLMs, computer vision, and autonomous systems
Mid-level AI/ML Engineer specializing in fraud detection, MLOps, and Generative AI
Senior Software Engineer specializing in AI/ML and LLM-powered cloud platforms
Mid-level AI/ML Engineer specializing in LLMs, NLP, Computer Vision, and MLOps
Senior Machine Learning Engineer specializing in LLMs, NLP, and computer vision
Senior Generative AI Engineer specializing in LLM applications and cloud-native AI platforms