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Sai Sailendra Chitturi
Ai Ml Engineer @Handshake
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WORK HISTORY
Ai Ml Engineer @Handshake
Chicago, IL, US
As an AI/ML Engineer, I have designed and deployed machine learning models for fraud detection that reduced false positives by 20% while improving accuracy, built NLP pipelines for customer support automation, and developed recommendation systems that increased engagement and conversions by 15%. I have applied computer vision models with TensorFlow and PyTorch achieving 95% classification accuracy, and designed end-to-end ML workflows from preprocessing to deployment. My experience spans leveraging AWS SageMaker and Azure ML for distributed training, implementing CI/CD pipelines with GitHub Actions and Docker, and deploying real-time models via REST APIs. I have also created anomaly detection models, monitoring systems for data drift, and interactive dashboards in Power BI and Tableau to track business outcomes. In addition, I collaborated closely with stakeholders to align models with KPIs, optimized performance through hyperparameter tuning, and delivered training sessions and documentation to advance ML best practices across teams.
EDUCATION
Cleveland State University
Master of Science - MS, Computer Science
Narayana Junior College - India
Intermediate, Mathematics, Physics, Chemistry (MPC)
KL University
Bachelor of Technology - BTech, Data Science & Big Data Analytics
ABOUT SAI SAILENDRA CHITTURI
I am a Machine Learning Integrity Analyst with a strong background in data analysis and AI research. Currently, I am working at Handshake AI, where I focus on enhancing the performance and reliability of Large Language Models (LLMs) through rigorous testing and evaluation. My role involves collaborating with researchers to analyze AI model behavior, derive actionable insights, and implement improvements aligned with industry best practices.Additionally, I work as a Data Analyst at Ven Solutions LLC, where I leverage my skills in data cleaning, exploration, and visualization to provide actionable insights and support data-driven decision-making. With experience in designing Python-based data pipelines, automating processes using SQL, and creating dashboards with tools like Tableau and Python, I excel in delivering high-quality results and improving data workflows for cross-functional teams.With a strong foundation in machine learning, natural language processing, and data visualization, I am passionate about using data and AI to solve real-world problems and contribute to cutting-edge research and business initiatives. I am always looking for opportunities to collaborate, learn, and grow in the dynamic field of data science and AI.
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