Chaithanya Pandem

AI Researcher

United States5 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

7+ years in AI/ML engineering and MLOps.
Expert in building scalable, real-time AI systems.
Proven impact in banking, healthcare, and retail sectors.

Stackforce AI infers this person is a skilled AI/ML Engineer with expertise in MLOps and data engineering across multiple industries.

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Skills

Core Skills

MlopsMachine LearningData EngineeringData Analysis

Other Skills

A/B testingAWS CloudAWS LambdaAWS S3AirflowAmazon Web ServicesApache AirflowAzure CloudAzure Data LakeAzure Data LeaksAzure DatabricksBig DataCVClassification ModelsCoffee

About

I am an AI/ML Engineer with 7+ years of experience designing, deploying, and scaling production-grade machine learning and Generative AI systems. My expertise spans LLM development, RAG pipelines, MLOps automation, data engineering, and end-to-end ML lifecycle management across AWS, Azure, and GCP. I specialize in building real-time, scalable AI systems using LangChain, Google ADK, TensorFlow, PyTorch, Apache Spark, and Kubernetes. I have implemented enterprise-grade MLOps frameworks, automated CI/CD pipelines, and governed AI systems ensuring auditability, model monitoring, and high reliability. I’ve delivered AI/ML solutions in banking, healthcare, e-commerce, and retail domains—driving automation, improving model accuracy, and enabling real-time decision-making with measurable business impact. I’m passionate about LLMs, AI Agents, scalable ML architectures, and transforming enterprise systems with cloud-native AI technologies.

Experience

Bank of america

Data Scientist/Machine Learning Engineer

Dec 2022 – Present · 3 yrs 3 mos · Tampa, Florida, United States · Remote

Built end-to-end ML pipelines: data collection → feature engineering → model training → deployment.
Developed NLP, CV, and predictive ML models using TensorFlow, PyTorch & Keras.
Built RAG & LLM-based applications using LangChain, Vertex AI, Bedrock & OpenAI.
Designed scalable MLOps pipelines using MLflow, Kubernetes, GitHub Actions & Terraform.
Created real-time predictive maintenance models and automated workflows with Kubeflow.
Integrated enterprise-grade model monitoring (drift, latency, auditing, compliance).
Collaborated with cross-functional teams ensuring FINRA/SEC compliance in ML systems.
Improved model deployment time by 60% through CI/CD & infra automation.

TensorFlowPyTorchKubernetesMLflowGitHub ActionsTerraform+4

Apple

Sr. ML/AI Advisor

Feb 2021 – Aug 2022 · 1 yr 6 mos · Chennai, Tamil Nadu, India · Remote

Led AI/ML engineering efforts for RPhAI (Retail Pharmacy AI) initiative.
Built end-to-end ML pipelines, real-time ML inference systems & OCR/NLP solutions.
Migrated cloud workloads from Azure → GCP with minimal code changes.
Designed pipelines using Spark, Airflow, Kafka and MongoDB for enterprise data.
Performed model tuning, hyperparameter optimization & A/B testing.
Implemented CI/CD pipelines for ML using Jenkins, Git & Databricks.
Supported deployment of ML-enabled apps across 10K+ retail stores.

SparkAirflowKafkaMongoDBJenkinsGit+4

Pecksmart

Data Engineer

May 2020 – Jan 2021 · 8 mos · Hyderabad, Telangana, India · On-site

Developed ETL, Hadoop, Spark, and Hive pipelines for analytics workloads.
Built forecasting models using LSTM, RNN & neural networks.
Created chatbots with MongoDB integration and automated resume generator tools.
Improved big data performance through Spark optimization and cluster tuning.
Built OLTP & warehouse data models, reports, and dashboards using Python & Tableau.

ETLHadoopSparkHivePythonTableau+1