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Vetted Machine Learning Engineers in Ohio
Pre-screened and vetted in Ohio.
Mid-level AI Engineer specializing in Generative AI and LLM/RAG systems
Mid-level AI & Machine Learning Engineer specializing in LLM systems, RAG pipelines, and MLOps
Naga Gayatri Bandaru
Mid-level AI/ML Engineer specializing in MLOps and production ML systems
“Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.”
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
“Built an LLM-powered academic research assistant for a professor (LangChain + OpenAI + arXiv) focused on synthesizing papers quickly, with emphasis on reliability (ReAct prompting, citation verification) and cost control (caching). Has production MLOps/orchestration experience at Cisco and HCL Tech using Kubernetes, plus MLflow and GitHub Actions for lifecycle management and CI/CD.”
Mid-level AI/ML Engineer specializing in NLP, MLOps, and healthcare analytics
Maheswar Mekala
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
“ML/LLM engineer with production experience at General Motors building Transformer-based search and recommendation personalization for a high-traffic vehicle platform. Delivered significant KPI gains (17% conversion lift, 14% bounce-rate reduction) and optimized real-time inference via ONNX Runtime and INT8 quantization while implementing robust MLOps (Airflow/MLflow, monitoring, drift-triggered retraining) and stakeholder-facing explainability/dashboards.”
Pooja Miryala
Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG for banking and healthcare
“Deployed a real-time LLM-driven call center summarization and agent-assist platform at Fifth Third Bank, combining transformer models (BERT/GPT) with FastAPI inference on AKS and vector storage (ChromaDB/PostgreSQL). Emphasizes production-grade reliability (autoscaling, CI/CD, monitoring) and measurable evaluation (A/B testing), and translates model outputs into business-facing Power BI insights for call center leadership.”
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in credit risk modeling and fraud detection
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Junior AI/ML Engineer specializing in RAG, multi-agent systems, and enterprise NLP
Mid-Level Machine Learning Engineer specializing in LLMs and RAG systems
Ahmad Alomari
Senior Data Scientist & Machine Learning Engineer specializing in computer vision and production ML
“PhD in computer engineering who has built production-oriented ML/NLP systems for space-weather prediction using Spark-based ETL on noisy satellite sensor logs. Strong in entity resolution and semantic search—fine-tuned E5 embeddings with contrastive learning and deployed to Pinecone, improving top-5 retrieval precision by 25%—and emphasizes scalable, observable pipelines with Airflow, Docker, and CI/CD.”
Junior Data Scientist specializing in production ML, LLM systems, and cloud analytics
Mid-level Machine Learning & GenAI Engineer specializing in RAG and multimodal AI systems
Junior Machine Learning Engineer specializing in Generative AI and MLOps