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Vetted Azure Machine Learning Professionals
Pre-screened and vetted.
Ritika Sisodiya
Junior Data Scientist specializing in statistical modeling and machine learning
“AI Researcher with production experience building a real-time computer-vision detection pipeline augmented by an LLM-based verification layer to cut false positives (~78%) and reach ~90% real-world accuracy. Also partners cross-functionally with Product/Sales/Marketing to shape AI feature prioritization and market positioning using analysis and interactive dashboards.”
Md Iqbal Hossain
Mid-level AI & Computer Vision Engineer specializing in edge robotics perception
“Master’s thesis engineer who built and deployed a continuous real-time perception + state estimation + control loop under tight latency constraints, owning both software architecture and hardware integration. Strong ROS 2 fundamentals with a systems-first approach—stabilizes robotic behavior by instrumenting, logging/replaying real data, and fixing timing/synchronization issues rather than treating failures as purely algorithmic.”
Tulasi padamata
Junior Machine Learning Engineer specializing in Document AI and LLM-powered workflows
“Built and owned a customer-facing Document Intelligence Service for legal contract analytics at Noasis Digital, delivering extraction/summarization with careful accuracy controls (confidence thresholds, versioned deployments, production logging). Also developed a React/TypeScript document review app and internal QA dashboard, and has hands-on microservices experience with async messaging (RabbitMQ), timeout tuning, and centralized structured logging for reliability at scale.”
Tharun Chowdary Malepati
Mid-level AI/ML Engineer specializing in GenAI, NLP, and production MLOps
“AI/LLM engineer who built and deployed a production healthcare RAG chatbot ("DoctorBot") with strict medical safety guardrails, an 85% confidence-gated verification layer, and latency optimizations that cut responses from ~8s to ~2–3s. Also worked on finflow.ai to generate finance/banking test cases from BRDs, collaborating closely with non-technical domain stakeholders, and has hands-on orchestration experience with LangChain/LangGraph and agentic evaluation/monitoring practices.”
Junior AI Engineer specializing in LLM agents, RAG, and MLOps
Mid-level Generative AI Engineer specializing in LLMs and RAG for enterprise and FinTech
Mid-level AI Engineer specializing in Generative AI and LLM agent systems
Senior AI/ML Engineer specializing in NLP, computer vision, and MLOps
Junior Data Scientist specializing in production ML, LLM systems, and cloud analytics
Mid-level AI Engineer specializing in Generative AI agents and LLM production systems
Mid-level Machine Learning Engineer specializing in GenAI, RAG, and medical imaging
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and MLOps
Mid-level AI/ML Developer specializing in MLOps and healthcare predictive modeling
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and Computer Vision
Mid-level Machine Learning & GenAI Engineer specializing in RAG and multimodal AI systems
Junior Data Analyst specializing in analytics, ETL, and machine learning
Mid-level AI/ML Data Engineer specializing in MLOps and Generative AI
Mid-level AI & Data Engineer specializing in cloud ML, RAG systems, and ETL automation