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Hi, I'm Awaiz Khan, an experienced AI/ML Engineer and Gen AI Engineer with over 5 years of expertise designing and deploying advanced machine learning and natural language processing systems. I specialize in building end-to-end AI-powered applications including autonomous AI agents, multi-step workflows, and intelligent automation systems with cutting-edge technologies like OpenAI, Hugging Face Transformers, and LangChain. My passion lies in creating scalable, ethical AI solutions while optimizing performance and compliance in production environments. I have significant professional experience working with financial services and healthcare clients, implementing OCR solutions, voice and conversational AI systems, and autonomous vehicle technologies. I am skilled in MLOps, model deployment, and cloud platforms such as AWS, Azure, and GCP, enabling rapid, reliable AI integrations for real-world applications. Collaboration with cross-functional teams and deploying production-grade AI systems is at the core of my work philosophy.…Hi, I'm Awaiz Khan, an experienced AI/ML Engineer and Gen AI Engineer with over 5 years of expertise designing and deploying advanced machine learning and natural language processing systems. I specialize in building end-to-end AI-powered applications including autonomous AI agents, multi-step workflows, and intelligent automation systems with cutting-edge technologies like OpenAI, Hugging Face Transformers, and LangChain. My passion lies in creating scalable, ethical AI solutions while optimizing performance and compliance in production environments. I have significant professional experience working with financial services and healthcare clients, implementing OCR solutions, voice and conversational AI systems, and autonomous vehicle technologies. I am skilled in MLOps, model deployment, and cloud platforms such as AWS, Azure, and GCP, enabling rapid, reliable AI integrations for real-world applications. Collaboration with cross-functional teams and deploying production-grade AI systems is at the core of my work philosophy.

Awaiz Khan

AI Engineer, Developer, Data Scientist, +4

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Hi, I'm Awaiz Khan, an experienced AI/ML Engineer and Gen AI Engineer with over 5 years of expertise designing and deploying advanced machine learning and natural language processing systems. I specialize in building end-to-end AI-powered applications including autonomous AI agents, multi-step workflows, and intelligent automation systems with cutting-edge technologies like OpenAI, Hugging Face Transformers, and LangChain. My passion lies in creating scalable, ethical AI solutions while optimizing performance and compliance in production environments. I have significant professional experience working with financial services and healthcare clients, implementing OCR solutions, voice and conversational AI systems, and autonomous vehicle technologies. I am skilled in MLOps, model deployment, and cloud platforms such as AWS, Azure, and GCP, enabling rapid, reliable AI integrations for real-world applications. Collaboration with cross-functional teams and deploying production-grade AI systems is at the core of my work philosophy.…Hi, I'm Awaiz Khan, an experienced AI/ML Engineer and Gen AI Engineer with over 5 years of expertise designing and deploying advanced machine learning and natural language processing systems. I specialize in building end-to-end AI-powered applications including autonomous AI agents, multi-step workflows, and intelligent automation systems with cutting-edge technologies like OpenAI, Hugging Face Transformers, and LangChain. My passion lies in creating scalable, ethical AI solutions while optimizing performance and compliance in production environments. I have significant professional experience working with financial services and healthcare clients, implementing OCR solutions, voice and conversational AI systems, and autonomous vehicle technologies. I am skilled in MLOps, model deployment, and cloud platforms such as AWS, Azure, and GCP, enabling rapid, reliable AI integrations for real-world applications. Collaboration with cross-functional teams and deploying production-grade AI systems is at the core of my work philosophy.

Available to hire

Hi, I’m Awaiz Khan, an experienced AI/ML Engineer and Gen AI Engineer with over 5 years of expertise designing and deploying advanced machine learning and natural language processing systems. I specialize in building end-to-end AI-powered applications including autonomous AI agents, multi-step workflows, and intelligent automation systems with cutting-edge technologies like OpenAI, Hugging Face Transformers, and LangChain. My passion lies in creating scalable, ethical AI solutions while optimizing performance and compliance in production environments.

I have significant professional experience working with financial services and healthcare clients, implementing OCR solutions, voice and conversational AI systems, and autonomous vehicle technologies. I am skilled in MLOps, model deployment, and cloud platforms such as AWS, Azure, and GCP, enabling rapid, reliable AI integrations for real-world applications. Collaboration with cross-functional teams and deploying production-grade AI systems is at the core of my work philosophy.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Hindi

Advanced

Work Experience

Gen AI Engineer at Upstart

May 1, 2024 - Present

Developed advanced OCR models and multi-modal document understanding pipelines to automate extraction and analysis of financial data from complex loan-related documents. Implemented custom OCR fine-tuning and intelligent document preprocessing workflows to enhance text recognition accuracy on low-quality scans. Designed OCR-to-LLM integration pipelines and autonomous AI agents for multi-step loan processing workflows. Created synthetic data generation modules for rare-event modeling and deployed LLM-powered microservices with role-based access control and TLS encryption. Built real-time OCR APIs and multi-turn conversational agents to support loan underwriting. Conducted rigorous model evaluation, experiment tracking, and automated monitoring to ensure compliance and ethical AI deployment. Collaborated with MLOps and data teams to orchestrate workflows and maintain legal and regulatory alignment.

AI/ML Engineer at UnitedHealth Group

April 30, 2024 - July 18, 2025

Developed intelligent voice and conversational AI systems leveraging Azure Cognitive Services and Dialogflow for patient intake, symptom assessment, and appointment scheduling. Built multi-modal agents integrating speech-to-text and NLP for real-time healthcare interactions, securing identity with voice biometric authentication. Implemented dialogue management for coherent multi-turn conversations and autonomous agents for HIPAA-compliant healthcare data extraction. Applied reinforcement learning for clinical decision support and real-time voice analytics for patient emotional state detection. Developed NLP pipelines for patient data insights, built mobile-optimized models using TensorFlow Lite, and deployed scalable production systems on Azure Kubernetes Service. Integrated explainable AI techniques to enhance transparency in medical decision-making and created Power BI dashboards for operational insights.

Machine Learning Engineer at GHM EV Hyderabad - INDIA

July 31, 2023 - July 18, 2025

Designed and implemented AI-powered CRM systems using NLP and machine learning to enhance sales analytics and customer segmentation. Developed NLP querying engines combining semantic search and natural language to SQL translation. Built autonomous vehicle navigation systems incorporating computer vision, sensor fusion, and reinforcement learning for electric vehicle fleet management. Created AI-based battery management systems to predict battery health and optimize charging, extending battery life. Implemented clustering and anomaly detection for vehicle metrics and constructed deep learning architectures for NLP tasks. Deployed client-side neural networks in browsers for real-time battery performance prediction. Collaborated with cross-functional teams to integrate models into production, tracked models with MLflow and Docker on AWS, and ensured explainable AI to build stakeholder trust.

Gen AI Engineer at Upstart

May 1, 2024 - Present

Developed advanced OCR models using PaddleOCR, Tesseract, and Azure Form Recognizer for financial data extraction from loan and bank documents. Built multi-modal document understanding pipelines integrating OCR, layout analysis, and large language models (LLMs) such as GPT-4 and Claude. Fine-tuned domain-specific OCR models with TrOCR and EasyOCR improving text recognition accuracy, especially for handwriting and financial jargon. Created preprocessing workflows using OpenCV and PIL to enhance OCR for low-quality scans. Designed autonomous AI agents with LangChain for automated multi-step loan processing and analysis. Generated synthetic training data using LLMs for rare-event modeling. Deployed OCR and LLM microservices with FastAPI, Docker, and Azure Kubernetes Service including RBAC and TLS security. Implemented real-time OCR APIs and multi-turn conversational agents to assist underwriters. Applied custom tokenizer and embedding tuning to improve semantic search within financial doc

AI/ML Engineer at UnitedHealth Group

April 30, 2024 - July 18, 2025

Developed intelligent voice and conversational AI systems using Azure Cognitive Services and Dialogflow for patient intake, symptom assessment, and appointment scheduling. Built multi-modal agents integrating speech-to-text, text-to-speech, and NLP for real-time health guidance. Implemented voice biometric authentication via Azure Speaker Recognition API. Designed dialogue management with memory for coherent multi-turn conversations. Created autonomous web agents for healthcare data extraction maintaining HIPAA compliance. Used reinforcement learning for clinical decision support optimization. Built voice analytics pipelines to detect patient emotions and urgency. Developed chatbots with BERT and Rasa for patient support and triage. Optimized mobile ML models with TensorFlow Lite and quantization for Android devices, achieving 70% model size reduction. Built prototypes for AI clinical assistants handling multi-step data retrieval and risk scoring. Applied classical ML algorithms for pa

Machine Learning Engineer at GHM EV Hyderabad - INDIA

July 31, 2023 - July 18, 2025

Designed AI-powered CRM system automating lead scoring, segmentation, and predictive sales analytics to improve conversion rates. Developed NLP querying engine using BERT semantic search and natural language to SQL translation for non-technical database access. Built autonomous vehicle navigation system with computer vision, sensor fusion, and reinforcement learning including LIDAR processing and path planning. Created AI-based Battery Management System for health prediction and charging optimization to extend battery life. Implemented clustering and time-series analysis for real-time anomaly detection and predictive maintenance alerts. Designed full data pipelines covering ingestion to model evaluation. Applied deep learning architectures (CNN, RNN, Transformers) with TensorFlow and PyTorch for NLP tasks. Developed client-side neural networks using TensorFlow.js for in-browser battery performance predictions. Collaborated with teams to deploy models in cloud environments using MLflow

Gen AI Engineer at Upstart

May 1, 2024 - Present

Developed advanced OCR models using PaddleOCR, Tesseract, and Azure Form Recognizer for automated financial data extraction. Built multi-modal document understanding pipelines combining OCR, layout analysis, and LLM processing for complex financial documents. Fine-tuned OCR models for domain-specific text recognition, improving accuracy in cursive handwriting and financial terminology. Designed OCR preprocessing workflows to optimize performance on low-quality scans using OpenCV and PIL. Created AI agents for multi-step task execution with LangChain for loan processing automation. Developed synthetic data generation modules to augment training datasets. Deployed LLM-powered microservices using FastAPI, Docker, and Azure Kubernetes Service with security controls. Built real-time OCR APIs for instant document processing and multi-turn conversational agents to assist underwriters. Implemented custom tokenizer and embedding tuning strategies for domain adaptation of LLMs. Conducted rigorou

AI/ML Engineer at UnitedHealth Group

April 30, 2024 - July 31, 2025

Developed intelligent voice and conversational AI systems with Azure Cognitive Services and Dialogflow for healthcare applications including patient intake and symptom assessment. Built multi-modal conversational agents integrating speech and NLP capabilities for telehealth. Implemented biometric authentication using Azure Speaker Recognition. Designed context-aware dialogue management supporting multi-turn conversations. Created autonomous web agents for EMR data extraction maintaining HIPAA compliance. Applied reinforcement learning to optimize clinical decision support systems. Built voice analytics pipelines to detect patient emotions and urgency. Developed BERT-based chatbots for patient support and triage. Created mobile ML models optimized with TensorFlow Lite and quantization. Built AI-powered clinical assistants for autonomous workflows. Developed supervised models for patient outcome prediction and anomaly detection. Implemented ML pipelines with Azure ML SDK; deployed system

Machine Learning Engineer at GHM EV Hyderabad - INDIA

July 31, 2023 - July 31, 2025

Designed AI-powered CRM system automating lead scoring, customer segmentation, and sales analytics. Built NLP query engine using BERT for natural language to SQL translation enabling easier database querying. Developed autonomous vehicle navigation with computer vision, sensor fusion, and reinforcement learning for EV fleet management. Created AI-powered Battery Management System predicting battery health and optimizing charging. Implemented instrument clustering for real-time anomaly detection in vehicle performance metrics. Built scalable data pipelines and deep learning architectures (CNNs, RNNs, Transformers) using TensorFlow and PyTorch. Implemented client-side neural networks using TensorFlow.js for browser-based battery prediction. Collaborated with cross-functional teams integrating AI models into production. Used MLflow and Docker for model tracking and deployment. Applied explainability techniques such as SHAP and LIME. Developed real-time inference pipelines using Kafka, AWS

Gen AI Engineer at Upstart

May 1, 2024 - Present

Developed advanced OCR models and multi-modal document understanding pipelines to automate extraction and parsing of financial data, improving accuracy on complex documents. Built autonomous AI agents for multi-step loan processing workflows using LangChain and deployed LLM-powered microservices with secure access controls. Created synthetic data generation modules for rare-event modeling and conducted rigorous evaluation with BLEU, ROUGE, and human-in-the-loop feedback to ensure compliance and high performance. Managed real-time OCR APIs and monitored deployed models for drift, latency, and ethical risks using tools like MLflow and Azure Monitor. Collaborated with MLOps and data teams on orchestration and pipeline automation for scalable financial AI solutions.

AI/ML Engineer at UnitedHealth Group

April 30, 2024 - August 5, 2025

Developed intelligent voice models and multi-modal conversational AI systems for patient intake and telehealth applications, integrating Azure Cognitive Services and Dialogflow. Implemented secure voice biometric authentication and context-aware dialogue management for healthcare interactions. Built autonomous web agents for HIPAA-compliant data extraction and optimized clinical decision systems using reinforcement learning. Delivered mobile-optimized ML models for patient risk assessment and created supervised learning pipelines for outcome prediction. Managed deployment with Docker and AKS, streamlined data workflows, and implemented explainable AI models using SHAP and LIME to improve clinical decision transparency. Built Power BI dashboards to visualize patient risk and model performance metrics.

Machine Learning Engineer at GHM EV Hyderabad - INDIA

July 1, 2023 - August 5, 2025

Designed AI-powered CRM and NLP querying engines to automate sales analytics and enable natural language querying of EV performance databases. Developed autonomous vehicle navigation systems using computer vision, LIDAR data, and reinforcement learning for fleet management. Created deep learning models for battery health prediction and optimized charging cycles to extend battery life. Implemented clustering algorithms for anomaly detection in vehicle metrics and built client-side neural networks for real-time battery performance in browsers. Led end-to-end data pipelines, deployed AWS cloud solutions with MLflow and Docker, and applied explainable AI techniques to assure model transparency and trust.