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I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying machine learning and deep learning solutions at scale. I specialize in Python, PyTorch, TensorFlow, and SQL, and I build end-to-end ML pipelines, data processing workflows, and cloud-based AI/ML platforms using AWS and Azure. I have hands-on experience with NLP, generative AI, reinforcement learning, and fine-tuning large language models with LoRA and QLoRA techniques. I also implement MLOps practices including CI/CD, model monitoring, versioning, and API deployment to deliver reliable, scalable, production-ready AI solutions. I excel at diagnosing complex data challenges, optimizing data pipelines, and turning data-driven insights into action. My track record includes reducing fraud false positives, accelerating document processing, and enabling data-driven decision making in financial services and healthcare. I have collaborated with cross-functional teams and mentored others to scale AI initiatives across organizations.…I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying machine learning and deep learning solutions at scale. I specialize in Python, PyTorch, TensorFlow, and SQL, and I build end-to-end ML pipelines, data processing workflows, and cloud-based AI/ML platforms using AWS and Azure. I have hands-on experience with NLP, generative AI, reinforcement learning, and fine-tuning large language models with LoRA and QLoRA techniques. I also implement MLOps practices including CI/CD, model monitoring, versioning, and API deployment to deliver reliable, scalable, production-ready AI solutions. I excel at diagnosing complex data challenges, optimizing data pipelines, and turning data-driven insights into action. My track record includes reducing fraud false positives, accelerating document processing, and enabling data-driven decision making in financial services and healthcare. I have collaborated with cross-functional teams and mentored others to scale AI initiatives across organizations.

Kalanjali Cheemarla

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying machine learning and deep learning solutions at scale. I specialize in Python, PyTorch, TensorFlow, and SQL, and I build end-to-end ML pipelines, data processing workflows, and cloud-based AI/ML platforms using AWS and Azure. I have hands-on experience with NLP, generative AI, reinforcement learning, and fine-tuning large language models with LoRA and QLoRA techniques. I also implement MLOps practices including CI/CD, model monitoring, versioning, and API deployment to deliver reliable, scalable, production-ready AI solutions. I excel at diagnosing complex data challenges, optimizing data pipelines, and turning data-driven insights into action. My track record includes reducing fraud false positives, accelerating document processing, and enabling data-driven decision making in financial services and healthcare. I have collaborated with cross-functional teams and mentored others to scale AI initiatives across organizations.…I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying machine learning and deep learning solutions at scale. I specialize in Python, PyTorch, TensorFlow, and SQL, and I build end-to-end ML pipelines, data processing workflows, and cloud-based AI/ML platforms using AWS and Azure. I have hands-on experience with NLP, generative AI, reinforcement learning, and fine-tuning large language models with LoRA and QLoRA techniques. I also implement MLOps practices including CI/CD, model monitoring, versioning, and API deployment to deliver reliable, scalable, production-ready AI solutions. I excel at diagnosing complex data challenges, optimizing data pipelines, and turning data-driven insights into action. My track record includes reducing fraud false positives, accelerating document processing, and enabling data-driven decision making in financial services and healthcare. I have collaborated with cross-functional teams and mentored others to scale AI initiatives across organizations.

Available to hire

I am an AI/ML Engineer with over 4 years of experience designing, developing, and deploying machine learning and deep learning solutions at scale. I specialize in Python, PyTorch, TensorFlow, and SQL, and I build end-to-end ML pipelines, data processing workflows, and cloud-based AI/ML platforms using AWS and Azure. I have hands-on experience with NLP, generative AI, reinforcement learning, and fine-tuning large language models with LoRA and QLoRA techniques. I also implement MLOps practices including CI/CD, model monitoring, versioning, and API deployment to deliver reliable, scalable, production-ready AI solutions.

I excel at diagnosing complex data challenges, optimizing data pipelines, and turning data-driven insights into action. My track record includes reducing fraud false positives, accelerating document processing, and enabling data-driven decision making in financial services and healthcare. I have collaborated with cross-functional teams and mentored others to scale AI initiatives across organizations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Engineer at JPMorgan Chase

January 1, 2024 - October 31, 2025

Engineered and deployed advanced ML models (Python, PyTorch, and AWS SageMaker) to enhance real-time fraud detection, reducing false positives by 30% and safeguarding transactions. Optimized data pipelines with Apache Spark and SQL, boosting training efficiency by 25% and enabling faster operational insights. Integrated NLP into the Contract Intelligence (COiN) platform to automate data extraction from legal documents, accelerating processing by 40% and reducing manual reviews. Established MLOps practices (CI/CD, model monitoring, versioning) for reliable deployment. Led fine-tuning of LLMs using LoRA/QLoRA for cost-efficient scalable AI initiatives.

AI/ML Engineer at Hexaware Technologies

July 1, 2022 - July 1, 2022

Designed and deployed ML models in Python to detect fraud in real time, reducing false positives by ~30% and strengthening monitoring of digital payments. Built credit risk scoring models (logistic regression, gradient boosting) to inform lending decisions. Automated KYC/compliance checks with OCR and NLP to halve manual review time and improve regulatory reporting accuracy. Implemented end-to-end ML workflows with Docker, Kubernetes, and MLflow on AWS/Azure.

AI Engineer at CitiusTech

March 1, 2020 - March 1, 2020

Built and managed data pipelines aligning clinical, claims, and patient data in HL7 and FHIR formats. Trained models to predict claim denials, readmissions, and risk factors, improving accuracy. Deployed models as secure APIs integrated with healthcare platforms, ensuring privacy and compliance.