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I am an AI/ML Engineer with 4 years of experience designing and deploying Machine Learning, Deep Learning, and Generative AI solutions using Python, SQL, TensorFlow, PyTorch, Scikit-learn, AWS, and Azure. I thrive on turning complex data into actionable insights and scalable AI applications. I have hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Hugging Face, ETL/ELT pipelines, MLOps, Docker, Kubernetes, FastAPI, and model deployment. I have delivered predictive analytics, NLP, computer vision, and cloud-based AI solutions in enterprise environments.…I am an AI/ML Engineer with 4 years of experience designing and deploying Machine Learning, Deep Learning, and Generative AI solutions using Python, SQL, TensorFlow, PyTorch, Scikit-learn, AWS, and Azure. I thrive on turning complex data into actionable insights and scalable AI applications. I have hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Hugging Face, ETL/ELT pipelines, MLOps, Docker, Kubernetes, FastAPI, and model deployment. I have delivered predictive analytics, NLP, computer vision, and cloud-based AI solutions in enterprise environments.

Sowmya Kandra

AI Engineer, AI Developer, Data Scientist, +2

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I am an AI/ML Engineer with 4 years of experience designing and deploying Machine Learning, Deep Learning, and Generative AI solutions using Python, SQL, TensorFlow, PyTorch, Scikit-learn, AWS, and Azure. I thrive on turning complex data into actionable insights and scalable AI applications. I have hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Hugging Face, ETL/ELT pipelines, MLOps, Docker, Kubernetes, FastAPI, and model deployment. I have delivered predictive analytics, NLP, computer vision, and cloud-based AI solutions in enterprise environments.…I am an AI/ML Engineer with 4 years of experience designing and deploying Machine Learning, Deep Learning, and Generative AI solutions using Python, SQL, TensorFlow, PyTorch, Scikit-learn, AWS, and Azure. I thrive on turning complex data into actionable insights and scalable AI applications. I have hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Hugging Face, ETL/ELT pipelines, MLOps, Docker, Kubernetes, FastAPI, and model deployment. I have delivered predictive analytics, NLP, computer vision, and cloud-based AI solutions in enterprise environments.

Available to hire

I am an AI/ML Engineer with 4 years of experience designing and deploying Machine Learning, Deep Learning, and Generative AI solutions using Python, SQL, TensorFlow, PyTorch, Scikit-learn, AWS, and Azure. I thrive on turning complex data into actionable insights and scalable AI applications.

I have hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Hugging Face, ETL/ELT pipelines, MLOps, Docker, Kubernetes, FastAPI, and model deployment. I have delivered predictive analytics, NLP, computer vision, and cloud-based AI solutions in enterprise environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Engineer at Infosys, USA

January 1, 2025 - Present

Developed Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, FAISS, and Pinecone, improving knowledge retrieval accuracy by 30% across enterprise document repositories. Built and deployed AI Agents and LLM-powered solutions using Hugging Face, Prompt Engineering, and AWS SageMaker, reducing manual processing effort by 35%. Orchestrated ML workflows using Apache Airflow and SageMaker Pipelines, reducing model retraining time by 40% and improving production reliability across 15+ ML models. Processed 50M+ records using PySpark and Databricks, accelerating feature engineering workflows by 35% and reducing model development cycles by 30%. Integrated Kafka streaming pipelines processing 1M+ daily events, reducing data ingestion latency by 45% for AI-powered enterprise applications. Established ML monitoring and observability frameworks using MLflow, decreasing model drift detection time by 50% and improving production model uptime to 99.5%.

AI/ML Engineer at Capgemini, India

July 1, 2020 - December 1, 2022

Built machine learning models using Regression, ATS Classification, Clustering, Random Forest, and Scikit-learn, improving prediction accuracy by 20% across analytics initiatives. Performed feature engineering, data preprocessing, and hyperparameter tuning using Python, Pandas, NumPy, and SQL, increasing model performance by 18%. Transformed deep learning solutions using TensorFlow, PyTorch, CNNs, RNNs, and LSTMs, improving forecasting accuracy by 24% for business applications. Designed and maintained ETL pipelines, data models, and validation frameworks using PostgreSQL, MySQL, and cloud platforms, reducing data quality issues by 35%. Deployed Flask-based machine learning APIs and microservices, enabling real-time predictions and reducing response times by 30%. Applied predictive analytics solutions using XGBoost and Random Forest models, improving business forecasting accuracy by 21%. Collaborated with cross-functional stakeholders to deliver AI and analytics solutions, accelerating