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I am an AI/ML Engineer with a passion for designing, building, and deploying end-to-end machine learning and deep learning solutions. I have 4+ years of experience across finance and retail domains, with solid expertise in Python, SQL, TensorFlow, PyTorch, and cloud-based MLOps on AWS. I enjoy turning complex data into reliable, scalable AI systems and delivering measurable business impact. I thrive in cross-functional teams and am driven by automating data pipelines, monitoring model performance, and delivering secure, cloud-native AI solutions that improve decision-making and operational efficiency.…I am an AI/ML Engineer with a passion for designing, building, and deploying end-to-end machine learning and deep learning solutions. I have 4+ years of experience across finance and retail domains, with solid expertise in Python, SQL, TensorFlow, PyTorch, and cloud-based MLOps on AWS. I enjoy turning complex data into reliable, scalable AI systems and delivering measurable business impact. I thrive in cross-functional teams and am driven by automating data pipelines, monitoring model performance, and delivering secure, cloud-native AI solutions that improve decision-making and operational efficiency.

Manohar Lakavath

Data Scientist, AI Engineer, AI Developer, +4

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I am an AI/ML Engineer with a passion for designing, building, and deploying end-to-end machine learning and deep learning solutions. I have 4+ years of experience across finance and retail domains, with solid expertise in Python, SQL, TensorFlow, PyTorch, and cloud-based MLOps on AWS. I enjoy turning complex data into reliable, scalable AI systems and delivering measurable business impact. I thrive in cross-functional teams and am driven by automating data pipelines, monitoring model performance, and delivering secure, cloud-native AI solutions that improve decision-making and operational efficiency.…I am an AI/ML Engineer with a passion for designing, building, and deploying end-to-end machine learning and deep learning solutions. I have 4+ years of experience across finance and retail domains, with solid expertise in Python, SQL, TensorFlow, PyTorch, and cloud-based MLOps on AWS. I enjoy turning complex data into reliable, scalable AI systems and delivering measurable business impact. I thrive in cross-functional teams and am driven by automating data pipelines, monitoring model performance, and delivering secure, cloud-native AI solutions that improve decision-making and operational efficiency.

Available to hire

I am an AI/ML Engineer with a passion for designing, building, and deploying end-to-end machine learning and deep learning solutions. I have 4+ years of experience across finance and retail domains, with solid expertise in Python, SQL, TensorFlow, PyTorch, and cloud-based MLOps on AWS. I enjoy turning complex data into reliable, scalable AI systems and delivering measurable business impact.

I thrive in cross-functional teams and am driven by automating data pipelines, monitoring model performance, and delivering secure, cloud-native AI solutions that improve decision-making and operational efficiency.

Skills

Experience Level

Expert

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Intermediate

Work Experience

AI/ML Engineer at Capital One

January 1, 2025 - November 24, 2025

Elevated credit risk model accuracy by 22% and reduced false approvals by 15% through ensemble learning (XGBoost, LightGBM, Random Forest) across multiple customer portfolios. Automated data ingestion and transformation for 100M+ records using Python and SQL pipelines with AWS Glue, S3, and Redshift, cutting manual preparation time by 65% and improving scalability of downstream analytics. Architected and deployed deep learning models (CNN, LSTM, Transformer) using TensorFlow and PyTorch to interpret sequential and textual data, raising recall by 19% and enhancing interpretability for risk assessments. Streamlined end-to-end deployment workflows using MLflow, Docker, and SageMaker, reducing production cycle time from 2 days to 3 hours through automated retraining, version tracking, and continuous performance monitoring. Designed robust feature engineering pipelines combining demographic, temporal, and behavioral attributes, increasing model precision by 17% while improving explainabilit

Data Scientist at Fractal Analytics

July 1, 2023 - July 1, 2023

Delivered predictive modeling solutions for BFSI and retail clients using Python, TensorFlow, and Scikit-learn, improving marketing ROI by 19% and increasing retention rates across key high-value customer segments. Accelerated data preprocessing by 55% through automated ETL workflows with Pandas, NumPy, and SQL, optimizing transformation, validation, and feature generation processes for large-scale structured datasets. Designed CNN and LSTM architectures for computer vision and sequential modeling tasks, achieving 93% classification accuracy and enhancing robustness of predictive systems across multi-source and noisy data. Leveraged transfer learning (BERT, ResNet, Word2Vec) to reduce training costs by 28%, improving convergence efficiency and performance on low-volume labeled datasets from diverse domains. Deployed real-time ML APIs with Flask and FastAPI on AWS EC2, achieving 40% faster inference latency and ensuring scalable integration with client-facing analytics applications. Col