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Vetted Logistic Regression Professionals
Pre-screened and vetted.
Bhavishyasai Chigurupati
Mid-Level Data/ML Engineer specializing in Generative AI and cloud data platforms
“Built and productionized an LLM-based financial document analysis system using a RAG pipeline, including robust ingestion/chunking/embedding workflows, vector DB retrieval, and an AWS-deployed FastAPI service containerized with Docker. Demonstrates strong applied expertise in improving retrieval quality and latency at scale, plus hands-on experience debugging agentic/LLM workflows with monitoring and trace-based analysis while supporting demos and customer-facing adoption.”
Shreya Reddy Palla
Mid-level Business Analyst specializing in healthcare data and application consulting
“Analytics professional with University of Florida experience in occupational health reporting, including bloodborne pathogen and needlestick exposure programs. Stands out for turning messy healthcare operational data into trusted, analysis-ready reporting assets using SQL and Python, while partnering closely with stakeholders to define reliable metrics and improve operational oversight.”
Raghav Bajaj
Junior Software Engineer specializing in backend systems and ML applications
“Full-stack engineer with hands-on experience building and shipping production web products across AI, frontend, backend, and DevOps. Notably built an end-to-end resume-job matching platform during an internship that processed 1000+ resumes/day and cut recruiter screening effort by 60%, and later shipped an internal operations dashboard at CHS with measurable performance gains.”
Saketh Kota
Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI, NLP, and predictive modeling
Mid-level Prompt Engineer specializing in Generative AI and RAG systems
Mid-level Data Scientist specializing in AI/ML for healthcare analytics
Mid-level Data Scientist specializing in machine learning and healthcare analytics
Junior Full-Stack Developer specializing in cloud security and web applications
Mid-level Data Scientist specializing in ML, NLP, and cloud data platforms
Junior Software Engineer specializing in full-stack web and applied machine learning
Junior Software Engineer specializing in data engineering and automation
Mid-level Software Engineer specializing in Python, cloud microservices, and AI/RAG systems
Senior Machine Learning Engineer specializing in forecasting, anomaly detection, and MLOps
Mid-level AI/ML Engineer specializing in risk scoring, forecasting, and real-time fraud detection
Mid-level AI/ML Engineer specializing in healthcare analytics and fraud detection
Intern AI/ML Engineer specializing in voice AI and FinTech platforms
Mid-level Software Engineer specializing in Java microservices and event-driven systems
Mid-Level Backend Software Engineer specializing in cloud-native APIs and data pipelines
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and LLM-powered healthcare systems
Mid-level Data Engineer specializing in cloud ETL and real-time streaming pipelines
Intern Software Engineer specializing in real-time systems and AI-backed backend services