A
Awaiz Mohammed
About
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AI Engineer | Machine Learning, Ethical Hacking
Minnesota, United States
Résumé
Jobs
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Senior Analyst - Data Science & AISam's ClubSep 2025 - Current (11 months)Architected agentic AI systems using LLMs with tool calling capabilities to automate complex analytics workflows, reducing manual analysis time. Designed and deployed multi-agent systems on Databricks that autonomously orchestrate data queries, statistical analysis, and business intelligence generation. Built intelligent data pipelines leveraging Cosmos DB and Kubernetes containers for scalable agent execution and real-time data management. Integrated Azure Databricks with GCP Cloud Platform for hybrid analytics infrastructure serving 1M+ daily data operations. Implemented agent-based ETL orchestration using Delta Live Tables with autonomous error handling and quality validation. Developed LLM-powered analytics agents using LangChain that d- AI Software EngineerUpstartJan 2025 - Sep 2025 (9 months)Developed advanced OCR models using PaddleOCR, Tesseract, and Azure Form Recognizer for automated extraction of financial data from bank statements, loan documents, tax forms, and pay stubs. Implemented hybrid NLP solutions combining knowledge bases, symbolic AI, and large language models for banking document analysis and financial information extraction. Built production-ready financial NLP pipelines using PyTorch, Transformers, and FinBERT for processing credit reports, income verification, and debt-to-income calculations with 95% accuracy. Created intelligent banking document understanding systems for mortgage applications, personal loans, and credit card processing with comprehensive financial compliance frameworks. Developed multi-moda
- AI/ML EngineerUnitedHealth GroupFeb 2024 - Dec 2024 (11 months)Developed intelligent conversational AI systems using hybrid NLP methods, symbolic AI, and medical knowledge bases for automated patient intake, symptom assessment, and appointment scheduling. Built advanced conversational agents using PyTorch, Transformers, and Dialogflow for multi-turn medical conversations, clinical triage, and patient support with improvement in healthcare workflow efficiency. Implemented voice-enabled healthcare assistants using Azure Cognitive Services, speech-to-text, and clinical NLP for telehealth consultations and patient interaction management. Created intelligent medical chatbots with context-aware dialogue management, memory persistence, and conversation state tracking for comprehensive patient care. Developed
- GMachine Learning EngineerGHM EV HyderabadJul 2020 - Jul 2023 (3 years 1 month)Architected intelligent autonomous driving systems using reinforcement learning, computer vision, and hybrid NLP methods for EV fleet management and robotic vehicle navigation. Developed advanced Battery Management Systems (BMS) using deep learning, PyTorch, and predictive analytics for battery health monitoring, thermal management, and charging optimization. Built intelligent instrument clustering systems using unsupervised learning, time-series analysis, and symbolic AI for real-time vehicle diagnostics and predictive maintenance. Created autonomous vehicle NLP interfaces using React.js and Node.js for human-robot interaction and voice-controlled vehicle commands. Implemented reinforcement learning algorithms (PPO, DQN, Actor-Critic) usin
Education
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- CMaster'sConcordia University, St. PaulJan 2024 - Dec 2024 (1 year)
- ABachelor'sAnurag University, IndiaJan 2020 - Dec 2020 (1 year)