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I am an AI/ML Engineer and Data Scientist with over 5 years of experience designing, deploying, and scaling machine learning, NLP, and Generative AI solutions across healthcare, finance, telecom, and enterprise domains. Skilled in multiple programming languages and cloud platforms, I specialize in LLM fine-tuning, prompt engineering, and production-ready AI applications that enhance accuracy and efficiency. My work spans complex ML lifecycles including feature engineering, model training, deployment, and monitoring, with a strong focus on integrating real-time data streams and automation to reduce costs and accelerate AI adoption. I enjoy partnering across teams to deliver impactful, scalable AI innovations.…I am an AI/ML Engineer and Data Scientist with over 5 years of experience designing, deploying, and scaling machine learning, NLP, and Generative AI solutions across healthcare, finance, telecom, and enterprise domains. Skilled in multiple programming languages and cloud platforms, I specialize in LLM fine-tuning, prompt engineering, and production-ready AI applications that enhance accuracy and efficiency. My work spans complex ML lifecycles including feature engineering, model training, deployment, and monitoring, with a strong focus on integrating real-time data streams and automation to reduce costs and accelerate AI adoption. I enjoy partnering across teams to deliver impactful, scalable AI innovations.

Keerthi Kovelamudi

AI Engineer, Data Scientist, AI Developer, +2

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I am an AI/ML Engineer and Data Scientist with over 5 years of experience designing, deploying, and scaling machine learning, NLP, and Generative AI solutions across healthcare, finance, telecom, and enterprise domains. Skilled in multiple programming languages and cloud platforms, I specialize in LLM fine-tuning, prompt engineering, and production-ready AI applications that enhance accuracy and efficiency. My work spans complex ML lifecycles including feature engineering, model training, deployment, and monitoring, with a strong focus on integrating real-time data streams and automation to reduce costs and accelerate AI adoption. I enjoy partnering across teams to deliver impactful, scalable AI innovations.…I am an AI/ML Engineer and Data Scientist with over 5 years of experience designing, deploying, and scaling machine learning, NLP, and Generative AI solutions across healthcare, finance, telecom, and enterprise domains. Skilled in multiple programming languages and cloud platforms, I specialize in LLM fine-tuning, prompt engineering, and production-ready AI applications that enhance accuracy and efficiency. My work spans complex ML lifecycles including feature engineering, model training, deployment, and monitoring, with a strong focus on integrating real-time data streams and automation to reduce costs and accelerate AI adoption. I enjoy partnering across teams to deliver impactful, scalable AI innovations.

Available to hire

I am an AI/ML Engineer and Data Scientist with over 5 years of experience designing, deploying, and scaling machine learning, NLP, and Generative AI solutions across healthcare, finance, telecom, and enterprise domains. Skilled in multiple programming languages and cloud platforms, I specialize in LLM fine-tuning, prompt engineering, and production-ready AI applications that enhance accuracy and efficiency.

My work spans complex ML lifecycles including feature engineering, model training, deployment, and monitoring, with a strong focus on integrating real-time data streams and automation to reduce costs and accelerate AI adoption. I enjoy partnering across teams to deliver impactful, scalable AI innovations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Amensys

January 1, 2025 - Present

Fine-tuned domain-specific large language models using LoRA adapters on AWS SageMaker, reducing GPU usage by 30% and enabling weekly retraining. Developed retrieval-augmented generation assistants and prompt engineering frameworks, improving response reliability and retrieval accuracy. Deployed Dockerized microservices on AWS with secure orchestration. Automated drift detection and retraining pipelines, cutting model error rates by 20%. Developed NLP classification models enhancing context retrieval and integrated real-time Kafka and Spark data streams for improved assistant interactions.

Research Assistant (AI/ML) at UNC Research

December 31, 2024 - September 5, 2025

Built patient risk prediction models using Logistic Regression, LightGBM, and XGBoost on EHR datasets, improving patient stratification accuracy. Developed deep learning pipelines with TensorFlow and Keras for early disease detection. Trained transformer-based NLP models for clinical text classification with improved F1 scores. Explored reinforcement learning for adaptive risk scoring contributing to funded grants. Automated data preprocessing and experiment tracking in GCP Vertex AI, accelerating iteration time by 30%. Created R Shiny dashboards for interactive patient risk profiling adopted by collaborators.

Data Science Intern at Amazon

August 31, 2024 - September 5, 2025

Analyzed over 10 million retail transactions using SQL and Python to identify churn patterns influencing Prime retention strategies. Designed A/B test evaluation pipelines improving experiment accuracy and marketing ROI. Created QuickSight dashboards reducing reporting time from days to hours. Automated data preprocessing and feature engineering workflows, improving experiment consistency. Supported a GenAI text summarization prototype integrated into analytics pipelines for internal use case exploration.

Data Scientist at Infosys

June 30, 2023 - September 5, 2025

Built and optimized machine learning models for churn prediction and credit risk scoring, increasing precision and reducing false negatives. Processed large datasets for feature engineering using Pandas, NumPy and PySpark, reducing preparation time. Designed end-to-end ML workflows with Airflow and MLflow for reproducibility. Deployed predictive models as REST APIs, containerized via Docker, lowering scoring latency. Developed NLP pipelines for sentiment and topic analysis, boosting targeted campaigns. Migrated Hive ETL workflows to Spark, improving data quality and reliability.

Software Development Engineer – Big Data at Cognizant

June 30, 2020 - September 5, 2025

Built distributed PySpark pipelines processing over 2TB daily for timely enterprise reporting. Optimized MapReduce and Java Spark jobs reducing runtimes by 25%. Automated ETL workflows with Airflow, lowering failure rates and downtime. Migrated Hadoop workloads to AWS EMR, increasing scalability and reducing costs. Developed Kafka streaming pipelines processing over 1 million daily events for reduced reporting latency.