Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm an ML/AI Engineer with around 9 years of experience designing, building, and deploying machine learning systems, data pipelines, and generative AI solutions. My work spans the full ML lifecycle — from data ingestion and preprocessing to model training, evaluation, and productionization. I specialize in Large Language Models, Generative AI, and NLP, and have hands-on experience with LangChain, OpenAI GPT, Llama 2, and Hugging Face Transformers. On the infrastructure side, I work with AWS SageMaker, AWS Bedrock, Docker, Kubernetes, and MLflow to build scalable, production-ready systems. I've built conversational AI applications, vector-based retrieval systems using Pinecone and FAISS, fine-tuned LLMs on cloud platforms, and designed end-to-end computer vision and NLP pipelines. I'm comfortable working across Python, TensorFlow, PyTorch, Keras, Spark, and SQL environments.…I'm an ML/AI Engineer with around 9 years of experience designing, building, and deploying machine learning systems, data pipelines, and generative AI solutions. My work spans the full ML lifecycle — from data ingestion and preprocessing to model training, evaluation, and productionization. I specialize in Large Language Models, Generative AI, and NLP, and have hands-on experience with LangChain, OpenAI GPT, Llama 2, and Hugging Face Transformers. On the infrastructure side, I work with AWS SageMaker, AWS Bedrock, Docker, Kubernetes, and MLflow to build scalable, production-ready systems. I've built conversational AI applications, vector-based retrieval systems using Pinecone and FAISS, fine-tuned LLMs on cloud platforms, and designed end-to-end computer vision and NLP pipelines. I'm comfortable working across Python, TensorFlow, PyTorch, Keras, Spark, and SQL environments.

Kruthan Reddy

Data Scientist, AI Engineer, AI Developer, +2





I'm an ML/AI Engineer with around 9 years of experience designing, building, and deploying machine learning systems, data pipelines, and generative AI solutions. My work spans the full ML lifecycle — from data ingestion and preprocessing to model training, evaluation, and productionization. I specialize in Large Language Models, Generative AI, and NLP, and have hands-on experience with LangChain, OpenAI GPT, Llama 2, and Hugging Face Transformers. On the infrastructure side, I work with AWS SageMaker, AWS Bedrock, Docker, Kubernetes, and MLflow to build scalable, production-ready systems. I've built conversational AI applications, vector-based retrieval systems using Pinecone and FAISS, fine-tuned LLMs on cloud platforms, and designed end-to-end computer vision and NLP pipelines. I'm comfortable working across Python, TensorFlow, PyTorch, Keras, Spark, and SQL environments.…I'm an ML/AI Engineer with around 9 years of experience designing, building, and deploying machine learning systems, data pipelines, and generative AI solutions. My work spans the full ML lifecycle — from data ingestion and preprocessing to model training, evaluation, and productionization. I specialize in Large Language Models, Generative AI, and NLP, and have hands-on experience with LangChain, OpenAI GPT, Llama 2, and Hugging Face Transformers. On the infrastructure side, I work with AWS SageMaker, AWS Bedrock, Docker, Kubernetes, and MLflow to build scalable, production-ready systems. I've built conversational AI applications, vector-based retrieval systems using Pinecone and FAISS, fine-tuned LLMs on cloud platforms, and designed end-to-end computer vision and NLP pipelines. I'm comfortable working across Python, TensorFlow, PyTorch, Keras, Spark, and SQL environments.

Available to hire

I’m an ML/AI Engineer with around 9 years of experience designing, building, and deploying machine learning systems, data pipelines, and generative AI solutions. My work spans the full ML lifecycle — from data ingestion and preprocessing to model training, evaluation, and productionization.

I specialize in Large Language Models, Generative AI, and NLP, and have hands-on experience with LangChain, OpenAI GPT, Llama 2, and Hugging Face Transformers. On the infrastructure side, I work with AWS SageMaker, AWS Bedrock, Docker, Kubernetes, and MLflow to build scalable, production-ready systems.

I’ve built conversational AI applications, vector-based retrieval systems using Pinecone and FAISS, fine-tuned LLMs on cloud platforms, and designed end-to-end computer vision and NLP pipelines. I’m comfortable working across Python, TensorFlow, PyTorch, Keras, Spark, and SQL environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

ML/ AI Engineer at Prudential Financial

May 1, 2023 - Present

Led enterprise AI initiatives combining Langchain, OpenAI GPT-3, and Llama 2 to connect to MongoDB and MySQL, enabling conversational AI applications with high accuracy. Performed prompt engineering and fine-tuning to reduce hallucinations by 30%. Deployed fine-tuned LLMs on AWS Bedrock and SageMaker endpoints for real-time inference; built vector-based retrieval using Pinecone and FAISS achieving 99% recall. Optimized SQL queries across MongoDB/MySQL; managed production workflows for pre-trained LLMs with 99.9% reliability. Enabled CI/CD via Docker and Kubernetes; integrated Apache Spark and Kafka with AWS services for distributed data processing. Enhanced information retrieval speeds via vector-based search and maintained scalable, low-latency AI-enabled workflows.

AI/ML Engineer at UnitedHealthcare (UHC)

August 1, 2020 - May 1, 2023

Developed end-to-end AI solutions across computer vision, NLP, and ML; implemented CV algorithms with OpenCV, TensorFlow, and PyTorch for object detection/segmentation; built NLP pipelines for text analytics. Implemented MLOps with MLflow and Kubeflow integrated with Azure Databricks for packaging, deployment, monitoring, and lifecycle management; designed and trained deep learning models for image classification/segmentation for real-time embedded systems. Integrated Elasticsearch for real-time analytics; built ETL workflows with PySpark; applied supervised/unsupervised/reinforcement learning for predictive models; designed experiments and A/B tests; monitoring with Elasticsearch and Kibana; containerized with Docker and Kubernetes; CI/CD for A/B testing; leveraged GCP Vertex AI and BigQuery; data transformation with SQL, Python, PySpark; collaborated with cross-functional teams to prototype and deploy AI systems.

Data Scientist/ML Engineer at AT&T

October 1, 2017 - August 1, 2020

Developed and deployed end-to-end ML/AI solutions across computer vision, NLP, and predictive modeling; implemented DL models with PyTorch and TensorFlow for image classification and sequence tasks; built NLP pipelines using NLTK and SpaCy; applied supervised, unsupervised, and reinforcement learning; built scalable data pipelines with Apache Spark and Airflow; deployed models in production using Docker and Kubernetes; infrastructure managed with Terraform; integrated with AWS SageMaker, EMR, and Redshift; collaborated with cross-functional teams to prototype, evaluate, and deploy AI systems; designed and executed cross-validation, experiments, and A/B tests; data transformations using SQL, Python, and PySpark.

Data Engineer/ Python Developer at Reliance Industries Limited

December 1, 2015 - September 1, 2017

Developed and maintained full-stack Python/Django/Flask web applications; built data ingestion pipelines with Apache Spark, Airflow, and Sqoop to process large datasets; designed RESTful APIs; containerized with Docker and Jenkins for CI/CD; deployed on AWS (EC2, S3, RDS); engineered data lakes and implemented data governance; wrote shell scripts for automation; Terraform modules for infrastructure; worked in Agile environments; managed cloud storage and data warehousing for scalable analytics.