Mahanth Sai Kilaru

Data Engineer

Warrior Tech Solutions•  August 2024 - Present•  Tampa, Florida

• Designed scalable ETL pipelines with Python and Spark to automate data cleaning, transformation, and loading, enhancing process efficiency by 60%. Built a real-time analytics system by integrating Kafka and AWS Redshift for user activity tracking, enabling actionable insights for stakeholders. • Automated containerized deployments using GitLab CI/CD and Docker, optimizing delivery pipelines and reducing manual overhead by 80%. Implemented data security measures via AWS IAM and encryption, ensuring compliance with industry standards.

Research Assistant

VNRVJIET•  May 2021 - May 2022

Led the development of a sophisticated image forgery detection system utilizing state-of-the-art digital image processing techniques, leading to a 50% reduction in unauthorized image alterations and boosting brand credibility. Spearheaded the utilization of machine learning methodologies, namely Elephant herd optimization and adaptive density clustering, to fortify tampered region localization. Developed a Road Safety Monitoring Platform by integrating IoT sensors, accelerometers, and GPS modules; provided real-time road assessment and decreased accident rates by 15% within six months of deployment. Developed and implemented computer vision algorithms, like CNNs, for instant identification of potholes in real-time road images, leveraging edge computing; enhanced user experience with HTML, CSS, and ReactJS for intuitive road condition monitoring and reporting. Implemented a Smart Farming system utilizing IoT devices, sensors, and wireless communication protocols to monitor soil conditions, temperature, and humidity. Employed data analytics, machine learning, and cloud computing to deliver real-time insights and recommendations to farmers, promoting improved crop yields, waste reduction, and sustainable agricultural practices.

Research Paper Intern

VNRVJIET•  July 2020 - February 2021

Created a dynamic College Guide website using HTML, CSS, and JavaScript, featuring a responsive design with ReactJS/Angular for an interactive user interface. Implemented a robust backend with Node.js/Express, incorporating secure authentication and MySQL for efficient database management, offering students a personalized and engaging experience in organizing daily activities and discovering events. Engineered a Real-Time Face Mask Detection system utilizing TensorFlow for model creation and OpenCV for video processing; system achieved 95% accuracy rate and reduced manual monitoring efforts by 70%.

Research Assistant

VNRVJIET•  May 2019 - June 2020

Developed an innovative system combining SVM and KNN algorithms to achieve 91% accuracy in early cancer diagnosis. Implemented an early warning system for patients using advanced analytics, including feature reduction, classification, and clustering. Built a customer segmentation system using Tableau, analyzing demographic, behavioral, and transactional data to identify patterns. Executed complex SQL queries for data profiling and relationship analysis, providing valuable insights for audit-related tasks.