SAKETH ANGIREKULA

623-***-**** • ad3qcm@r.postjobfree.com • linkedin.com/in/saketh-angirekula • github.com/Saketh1702 EDUCATION

Master of Science(MS) - Computer Science Graduating May 2025 Arizona State University, Tempe, AZ GPA 3.89/4

Relevant coursework: Data Mining,Statistical Learning,Digital Video Processing,Computer Network Forensics, Infor- mation Assurance Security, Software Security.

Bachelor of Technology - Computer Science Engineering Aug 2019 - May 2023 National Institute of Technology, Silchar, India GPA 8.77/10 Relevant coursework: Data Structures and Algorithms, Operating Systems, Computer Networks, Object Oriented Pro- gramming, Database Management System.

TECHNICAL SKILLS

Programming Language: Python, C/C++,MySQL,PyTorch,TensorFlow Cloud Platforms: AWS S3,Lambda,EC2,ELB,Route53

Web Development: HTML,CSS,JavaScript, Flex,React,Node.js,Web3 Others: Solidity,Git, Linux, Kafka,Power BI,Hadoop,GenerativeAI PROFESSIONAL EXPERIENCE

Satyendra Nath Research Bose Internship, NIT Silchar: Summer Research Intern June 2022 - July 2022

• Conducted data pre-processing and developed predictive models for air quality assessment using Python.

• Utilized Machine learning algorithms, including Random forest, SVM, XGBoost for model development.

• Leveraged data analysis to optimize model performance, achieving a 10% reduction in processing time. Enviropromise, India: Machine Learning Intern May 2021 - July 2021

• Analyzed 3000+ sales datasets, contributing to a 6% increase in company sales.

• Conducted sentiment analysis on 10,000+ customer reviews and messages using NLP techniques.

• Identified key points and drove product improvements, leading to a 25% increase in customer reviews, satisfaction. ACADEMIC PROJECTS

Computer Vision Tracking with Deep Learning Aug 2023 - Dec 2023

• Designed and implemented a YOLOv8 model for real-time tennis ball tracking.

• Utilized OpenCV and various libraries for efficient image processing and object detection.

• Trained the model on a curated dataset of 10,000+ images for accurate ball tracking.

• Applied computer vision principles to enhance ball detection under varying conditions. Blockchain Chain of Custody Aug 2023 - Dec 2023

• Led development of Solidity-based Chain of Custody System, enhancing evidence transparency and security.

• Utilized Truffle and Ganache for efficient smart contract deployment and testing.

• Engineered Node.js and Web3.js integration for secure Ethereum blockchain communication.

• Led interdisciplinary team collaboration,refining the solution iteratively to meet ideal requirements. PrecisionLeaf: Advanced Leaf Disease Detection Jan 2023 - Jul 2023

• Designed a Algorithm for Detection and Analysis of Tea leaves diseases using Deep Learning Algorithms

• Achieved 98.2% accuracy, surpassing industry benchmarks (89.9% to 97.8%).

• Developed a model for early and precise leaf disease classification, enhancing agricultural efficiency.

• Significantly reduced crop losses, culminating in an overall enhancement of productivity. SimQNet: Semantic Equivalence in Quora Question Pairs Jan 2023

• Developed a ML model for semantic equivalence in question pairs,optimizing accuracy in similarity predictions.

• Spearheaded the design and development of a highly effective ML model, achieving 90% accuracy

• Engineered the implementation of model, integrating NLP techniques, reducing false positive rates by 30%.

• Collaborated with team to enhance model interpretability, reducing time for resolving model error by 25%.