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Vetted scikit-learn Professionals
Pre-screened and vetted.
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).”
Ramya Latha
Senior AI/ML & Data Engineer specializing in Generative AI and RAG systems
“GenAI/RAG engineer who has deployed a production policy/regulatory search assistant for a financial client using LangChain + Vertex AI, FastAPI, Docker/Kubernetes, and Airflow-orchestrated data pipelines. Demonstrated measurable impact with 50–60% latency reduction and 70% fewer pipeline failures, plus KPI-driven grounding evaluation (90%+ target) and strong cross-functional collaboration with compliance/business teams.”
Naim San
Senior AI/ML Engineer specializing in Python, RAG systems, and LLM fine-tuning
“Built and owned an end-to-end RAG-based AI support platform at Mechanize (FastAPI/LangChain/Pinecone/React) with rigorous evals and guardrails, driving 45% fewer support tickets and ~$280K annual savings. Also led a high-risk legacy modernization at Argo AI, incrementally extracting a monolithic Django backend using Strangler Fig + feature flags while supporting 10K+ concurrent users.”
Mid-level Software Engineer specializing in cloud-native systems and fraud detection
Intern Research Engineer specializing in robotics, 3D perception, and reinforcement learning
Mid-Level Software Engineer specializing in backend, cloud, and AI/LLM systems
Mid-Level Software Engineer specializing in Full-Stack, Cloud, and Generative AI/LLMs
Junior Data Scientist specializing in machine learning and reinforcement learning
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Junior ML Systems Engineer specializing in distributed ML and simulation
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
Intern Software Engineer specializing in AI agents and computer vision
Mid-level Software Developer specializing in microservices, cloud platforms, and data engineering
Mid-level Full-Stack Software Engineer specializing in MERN, Java/Spring, and AWS
Mid-Level Software Engineer specializing in backend systems and applied machine learning
Mid-level AI/ML Engineer specializing in NLP, recommender systems, and Generative AI
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 Generative AI and LLM solutions
Senior Machine Learning Engineer specializing in agentic systems, RAG, and edge AI