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I am an AI Engineer and Data Scientist with over 5 years of experience developing scalable machine learning and generative AI solutions, primarily in e-commerce, healthcare, and retail sectors. I specialize in building Retrieval-Augmented Generation frameworks, domain-specific chatbots, and recommendation engines using cutting-edge technologies such as Python, PyTorch, LangChain, and AWS SageMaker. My work has led to significant improvements including a 21% boost in forecast accuracy, an 18% increase in user engagement, and a 60% reduction in model maintenance time through automation and advanced NLP techniques. I am passionate about leveraging AI-powered tools to generate actionable insights and accelerate decision-making processes.…I am an AI Engineer and Data Scientist with over 5 years of experience developing scalable machine learning and generative AI solutions, primarily in e-commerce, healthcare, and retail sectors. I specialize in building Retrieval-Augmented Generation frameworks, domain-specific chatbots, and recommendation engines using cutting-edge technologies such as Python, PyTorch, LangChain, and AWS SageMaker. My work has led to significant improvements including a 21% boost in forecast accuracy, an 18% increase in user engagement, and a 60% reduction in model maintenance time through automation and advanced NLP techniques. I am passionate about leveraging AI-powered tools to generate actionable insights and accelerate decision-making processes.

V Enkata S Seetharam P Endekanti

AI Engineer, Data Scientist, Developer, +2

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I am an AI Engineer and Data Scientist with over 5 years of experience developing scalable machine learning and generative AI solutions, primarily in e-commerce, healthcare, and retail sectors. I specialize in building Retrieval-Augmented Generation frameworks, domain-specific chatbots, and recommendation engines using cutting-edge technologies such as Python, PyTorch, LangChain, and AWS SageMaker. My work has led to significant improvements including a 21% boost in forecast accuracy, an 18% increase in user engagement, and a 60% reduction in model maintenance time through automation and advanced NLP techniques. I am passionate about leveraging AI-powered tools to generate actionable insights and accelerate decision-making processes.…I am an AI Engineer and Data Scientist with over 5 years of experience developing scalable machine learning and generative AI solutions, primarily in e-commerce, healthcare, and retail sectors. I specialize in building Retrieval-Augmented Generation frameworks, domain-specific chatbots, and recommendation engines using cutting-edge technologies such as Python, PyTorch, LangChain, and AWS SageMaker. My work has led to significant improvements including a 21% boost in forecast accuracy, an 18% increase in user engagement, and a 60% reduction in model maintenance time through automation and advanced NLP techniques. I am passionate about leveraging AI-powered tools to generate actionable insights and accelerate decision-making processes.

Available to hire

I am an AI Engineer and Data Scientist with over 5 years of experience developing scalable machine learning and generative AI solutions, primarily in e-commerce, healthcare, and retail sectors. I specialize in building Retrieval-Augmented Generation frameworks, domain-specific chatbots, and recommendation engines using cutting-edge technologies such as Python, PyTorch, LangChain, and AWS SageMaker.

My work has led to significant improvements including a 21% boost in forecast accuracy, an 18% increase in user engagement, and a 60% reduction in model maintenance time through automation and advanced NLP techniques. I am passionate about leveraging AI-powered tools to generate actionable insights and accelerate decision-making processes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI Engineer at Acquired AI

April 1, 2025 - Present

Built a content-based fashion recommendation engine using Sentence Transformer embeddings to match products on style, color, and material similarity, which boosted click-through rate by 18%. Architected modular ML pipelines in Python on AWS SageMaker, automating embedding generation, model training, and deployment; reducing model refresh cycle from 4 hours to under 10 minutes. Integrated low-latency recommendation APIs serving 500K+ monthly users with under 200ms response time, significantly enhancing on-site engagement.

AI Engineer at Cardinal Health

March 31, 2025 - August 26, 2025

Developed deep learning demand forecasting models using PyTorch that improved SKU-level forecast accuracy by 21% across 600+ distribution centers. Designed content-based product recommendation system to suggest clinically equivalent medical supplies, reducing order delays by 18%. Implemented MLOps pipeline with MLflow and AWS SageMaker for automated retraining and drift monitoring, cutting model maintenance time by 60%. Built a RAG-powered internal search tool to retrieve regulatory documentation swiftly, and created interactive Tableau dashboards integrating model outputs with inventory KPIs to assist supply planners in near real-time adjustments.

Data Scientist at Wipro Ltd

September 30, 2022 - August 26, 2025

Architected gradient boosting models with XGBoost to measure price elasticity, enabling dynamic pricing and driving a 6.4% quarterly revenue lift. Developed churn risk prediction framework with scikit-learn achieving 92% recall on high-risk customers; guided targeted retention strategies. Created hybrid recommendation ranking system combining collaborative filtering and demographics, improving recommendation acceptance by 24%. Automated data validation and anomaly detection in PySpark, reducing preprocessing from 3 days to under 6 hours without accuracy loss. Led development of Power BI dashboards that helped marketing teams track daily ROI and reallocate budgets promptly.

Data Scientist Intern at Space Infolab

August 31, 2019 - August 26, 2025

Processed and cleaned large financial transaction datasets to improve data quality by 35%. Developed statistical anomaly detection models that increased identification of suspicious activities by 22%. Conducted exploratory data analysis and visualization to support portfolio risk assessments influencing asset rebalancing of $1.5M.