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I am an AI/ML Engineer with 3+ years of experience delivering enterprise-grade AI solutions across financial services and automotive domains. I specialize in scalable machine learning, Generative AI, and cloud-native AI applications, turning complex business challenges into production-ready AI systems that automate decision-making and drive data-driven outcomes. I excel in end-to-end AI solution lifecycles, MLOps, and cross-functional collaboration, building secure, reliable systems and leading initiatives from data pipelines to model governance and responsible AI.…I am an AI/ML Engineer with 3+ years of experience delivering enterprise-grade AI solutions across financial services and automotive domains. I specialize in scalable machine learning, Generative AI, and cloud-native AI applications, turning complex business challenges into production-ready AI systems that automate decision-making and drive data-driven outcomes. I excel in end-to-end AI solution lifecycles, MLOps, and cross-functional collaboration, building secure, reliable systems and leading initiatives from data pipelines to model governance and responsible AI.

Alekhya Aakula

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

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I am an AI/ML Engineer with 3+ years of experience delivering enterprise-grade AI solutions across financial services and automotive domains. I specialize in scalable machine learning, Generative AI, and cloud-native AI applications, turning complex business challenges into production-ready AI systems that automate decision-making and drive data-driven outcomes. I excel in end-to-end AI solution lifecycles, MLOps, and cross-functional collaboration, building secure, reliable systems and leading initiatives from data pipelines to model governance and responsible AI.…I am an AI/ML Engineer with 3+ years of experience delivering enterprise-grade AI solutions across financial services and automotive domains. I specialize in scalable machine learning, Generative AI, and cloud-native AI applications, turning complex business challenges into production-ready AI systems that automate decision-making and drive data-driven outcomes. I excel in end-to-end AI solution lifecycles, MLOps, and cross-functional collaboration, building secure, reliable systems and leading initiatives from data pipelines to model governance and responsible AI.

Available to hire

I am an AI/ML Engineer with 3+ years of experience delivering enterprise-grade AI solutions across financial services and automotive domains. I specialize in scalable machine learning, Generative AI, and cloud-native AI applications, turning complex business challenges into production-ready AI systems that automate decision-making and drive data-driven outcomes.

I excel in end-to-end AI solution lifecycles, MLOps, and cross-functional collaboration, building secure, reliable systems and leading initiatives from data pipelines to model governance and responsible AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at Northern Trust

July 1, 2025 - Present

Architected and deployed Generative AI solutions using Python, LangChain, OpenAI APIs, Azure OpenAI, Retrieval-Augmented Generation (RAG), FAISS, and ChromaDB to automate financial document analysis, reducing analyst turnaround time by 48% and improving response relevance by 35%. Developed enterprise-scale LLM applications by integrating GPT-4, Hugging Face Transformers, FastAPI, REST APIs, Azure AI Search, and Prompt Engineering techniques, increasing knowledge retrieval accuracy by 32% and reducing manual research by 40%. Scaled real-time inference services on Azure ML, Databricks, Azure Data Factory, and Kubernetes (AKS) with Docker, supporting over 1.5 million predictions per month with 99.8% service availability. Implemented Responsible AI and model governance with MLflow, Azure Monitor, SHAP, Evidently AI, CI/CD (GitHub Actions), and automated model validation, reducing drift incidents by 30% and ensuring compliance. Designed feature stores and data pipelines using Snowflake, SQL

Machine Learning Engineer at KPIT Technologies

May 1, 2021 - July 1, 2023

Designed and deployed supervised and unsupervised ML models using Python, Scikit-Learn, XGBoost, TensorFlow, Pandas, and NumPy to solve predictive analytics and classification problems, improving model accuracy by 19% and reducing false positives by 24%. Developed scalable ETL and feature engineering pipelines with PySpark, SQL, Apache Spark, and Airflow to process over 40 million records, decreasing data preparation time by 45% and improving data quality for downstream ML workloads. Built and productionized MLOps pipelines with MLflow, Docker, Git, Jenkins, Kubernetes, and AWS (S3, EC2, SageMaker), reducing deployment time from days to under 2 hours and increasing release frequency by 60%. Implemented NLP solutions using Transformers, BERT, Hugging Face, NLTK, and SpaCy for document classification and text analytics, improving intent detection by 18% and reducing manual review effort by 35%. Optimized model performance through hyperparameter tuning, cross-validation, feature selection