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Hi, I'm Saibalaji Neeli, a passionate computer science and engineering graduate student specializing in machine learning and AI. I enjoy working on cutting-edge projects that merge data analytics with real-world applications, especially in resource-constrained environments. I have hands-on experience in developing ML models, improving system efficiency, and conducting research that reduces data processing times. I am dedicated to continuously learning and collaborating with cross-functional teams to deliver impactful solutions. From working on people counting systems using ultrasonic sensors to enhancing recommendation engines and optimizing AI models, I thrive when solving complex problems and contributing to innovative technologies.…Hi, I'm Saibalaji Neeli, a passionate computer science and engineering graduate student specializing in machine learning and AI. I enjoy working on cutting-edge projects that merge data analytics with real-world applications, especially in resource-constrained environments. I have hands-on experience in developing ML models, improving system efficiency, and conducting research that reduces data processing times. I am dedicated to continuously learning and collaborating with cross-functional teams to deliver impactful solutions. From working on people counting systems using ultrasonic sensors to enhancing recommendation engines and optimizing AI models, I thrive when solving complex problems and contributing to innovative technologies.

Saibalaji Neeli

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Hi, I'm Saibalaji Neeli, a passionate computer science and engineering graduate student specializing in machine learning and AI. I enjoy working on cutting-edge projects that merge data analytics with real-world applications, especially in resource-constrained environments. I have hands-on experience in developing ML models, improving system efficiency, and conducting research that reduces data processing times. I am dedicated to continuously learning and collaborating with cross-functional teams to deliver impactful solutions. From working on people counting systems using ultrasonic sensors to enhancing recommendation engines and optimizing AI models, I thrive when solving complex problems and contributing to innovative technologies.…Hi, I'm Saibalaji Neeli, a passionate computer science and engineering graduate student specializing in machine learning and AI. I enjoy working on cutting-edge projects that merge data analytics with real-world applications, especially in resource-constrained environments. I have hands-on experience in developing ML models, improving system efficiency, and conducting research that reduces data processing times. I am dedicated to continuously learning and collaborating with cross-functional teams to deliver impactful solutions. From working on people counting systems using ultrasonic sensors to enhancing recommendation engines and optimizing AI models, I thrive when solving complex problems and contributing to innovative technologies.

Available to hire

Hi, I’m Saibalaji Neeli, a passionate computer science and engineering graduate student specializing in machine learning and AI. I enjoy working on cutting-edge projects that merge data analytics with real-world applications, especially in resource-constrained environments. I have hands-on experience in developing ML models, improving system efficiency, and conducting research that reduces data processing times.

I am dedicated to continuously learning and collaborating with cross-functional teams to deliver impactful solutions. From working on people counting systems using ultrasonic sensors to enhancing recommendation engines and optimizing AI models, I thrive when solving complex problems and contributing to innovative technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Machine learning intern - Capstone at TDK Invensense

January 31, 2025 - July 18, 2025

Developed a low-power people counting system using ultrasonic sensors, applying data analytics principles to enhance scalability and improve system efficiency. Designed and optimized ML models for embedded systems, utilizing predictive analytics techniques and statistical diagnostics to ensure accuracy in resource-constrained environments. Integrated hardware and software components to create a functional prototype, enabling data-driven insights and improving performance assessments.

ML Development intern at Supertutor AI

September 30, 2024 - July 18, 2025

Developed machine learning models using Python, TensorFlow, and scikit-learn to enhance recommendation systems, applying predictive analytics techniques that increased user engagement by 25% and retention by 15%. Collaborated with cross-functional teams to identify key feature improvements, customizing analytic solutions that boosted app usability and resulted in a 50% rise in positive app store reviews. Executed complex SQL queries on a dataset of over 500,000 records, uncovering actionable insights to inform business decisions and improve engagement metrics by 15%. Optimized machine learning workflows through systematic tool development practices, ensuring high model accuracy despite data gaps.

Prompt Engineer at Outlier AI

September 30, 2024 - July 18, 2025

Enhanced AI system functionality by debugging and optimizing response generation pipelines, increasing user satisfaction. Improved model accuracy and relevance by fine-tuning algorithms to better align outputs with organizational objectives. Collaborated with cross-functional teams to deploy AI solutions tailored to user needs, ensuring seamless integration and usability.

Graduate Research Assistant at Oregon State University

May 31, 2024 - July 18, 2025

Conducted advanced research on minimal imputations in machine learning data preparation, leading to a 15% reduction in data processing time. Evaluated over 10 machine learning models to optimize data completeness while maintaining high predictive accuracy, improving overall efficiency by 25%. Co-authored a research paper for VLDB 2024, demonstrating expertise in data preprocessing, machine learning, and statistical analysis.