Machine Learning Software Development

Katroju Priya Hamsa

Chicago, USA +1-773-***-**** ***********@*****.*** https://www.linkedin.com/in/priya-hamsa-katroju-21355a253/ TECHNICAL SKILLS AND CERTIFICATIONS

• Programming Languages: Python, Java, C++, C#, JavaScript, SQL, Data structures and algorithms, spark,sparkSQL,Hive

• Software Development: Object-Oriented Programming (OOP), Design Patterns, Agile Methodologies, Basic, Test-Driven Development (TDD), AI, Kotlin, Software development Lifecycle, operating systems,RDMS, Distributed database, scala.

• Big Data & Cloud Technologies: Spark, Azure Data Lake, Azure Synapse, AWS (EC2, S3, Lambda), Kubernetes, Docker, SQL Server, NoSQL

(MongoDB, DynamoDB)

• Machine Learning & AI: TensorFlow, Scikit-learn, Hugging Face, LangChain, OpenAI API, NLP, Large-Scale Model Training

• Cybersecurity & Identity Management: IAM (Identity & Access Management), Authentication & Authorization, Role-Based Access Control

(RBAC), Security Monitoring, Threat Detection

• System Design & Architecture: Microservices, Distributed Systems, Load Balancing, Scalability & Performance Optimization, Distributed storage • Graph Databases: Neo4j, Graph Data Structures for Security Analytics

• Tools & Technologies: Git, Docker, Jenkins, Kotlin, Kubernetes, AWS (EC2, S3, Lambda), Confluence, SAS (Time Series Forecasting & Data Mining)

• Certifications: AWS Certified Solutions Architect – Associate, SQL Boot Camp. WORK EXPERIENCE

AL/ML Intern – IBM – Hyderabad – India 06/19 – 08/2019

• Worked on an artificial intelligence project focused on facial recognition technology, contributing to the development of a robust system capable of identifying and verifying individuals with 95% accuracy.

• Collaborated with a team of engineers to optimize machine learning algorithms, improving processing speed by 30%.

• Spearheaded the development of a robust, scalable anomaly detection system for access control logs using Neo4j, crucial for SRE teams ensuring system stability; improved detection rates by 35%.

• Integrated the facial recognition system with cloud services, ensuring scalable deployment and real-time processing capabilities.

• Conducted extensive testing and debugging, reducing system errors by 20% and enhancing overall reliability.

• Python, TensorFlow, Machine Learning, Cloud Computing (AWS), Algorithm Optimization, Data Structures, Testing & Debugging, API Integration Software Engineer – IBM – Bangalore – India 12/2021 – 12/2022

• Implemented a targeted hiring strategy that focused on candidates with majors in finance and business, reducing time-to-fill positions by 25% and improving team productivity by 20%.

• Developed a comprehensive financial analysis for 20+ clients across multiple locations, resulting in a 15% increase in client satisfaction and a 10% increase in retention rates.

• Implemented security logging and monitoring for IAM services, improving real-time anomaly detection by 40%

• Utilized Neo4j for security analytics, mapping authentication patterns and detecting anomalies in access control logs.

• Developed and maintained scalable data pipelines using Spark and Azure Synapse, improving data processing efficiency by 30%

• Organized and conducted customer-focused events using Salesforce data analytics, leading to a 20% increase in event attendance and a 15% growth in new customer acquisitions.

• Developed cross-platform build scripts with CMake to streamline the integration process across native OS APIs in Windows and Linux environments; improved deployment efficiency by reducing setup time by 50%.

• Spearheaded the transition of the company's core

• robotics simulation software to Linux and Windows, utilizing CMake for cross-platform builds, expanding product accessibility to a wider developer base.

• Developed an Intuition-based module for the existing Discord bot, utilizing Python to streamline server management tasks and integrating native Windows OS features, thereby increasing server efficiency by 25%.

• Designed and executed a new branding strategy for three business units, creating a cohesive brand identity that boosted customer recognition by 50% and increased overall sales by 20%.

• Spearheaded software engineering projects to integrate Salesforce with various business platforms, increasing data accuracy by 30% and streamlining workflows, which boosted team productivity by 20%.

• Analyzed gender identity representation in popular TV series, providing actionable insights that led to more inclusive casting choices; boosted viewership among underrepresented groups by 22%

• Developed and maintained a custom Slack bot for Salesforce notifications, enabling instant updates on CRM activities, which improved crossteam communication and collaboration by 35%.

• Integrated Python-based malware detection into NASA's cybersecurity monitoring pipeline; the effort improved threat identification, and automated quarantine processes for detected threats by 25%.

• Implemented a Microsoft SQL Server database maintenance plan for a Control Center application, preventing data loss and improving query performance by 35%; the project used Visual Studio. EDUCATION

• Master of Science, Computer Science, Chicago State University, Chicago, IL 04/2025, 3.7/4.0

• Bachelor of Technology, Computer Science, MLRITM Institute of Technology, Hyderabad, India 07/2021, 3.4/4.0 ACADEMIC PROJECT EXPERIENCE

Malware Detection Using Machine Learning – Python, TensorFlow, Scikit-learn

• Developed a machine learning model capable of detecting malware with over 98% accuracy, utilizing Python and TensorFlow.

• Implemented feature extraction techniques to analyze file behavior and classify potential threats, significantly reducing false positives.

• Integrated the model with a real-time monitoring system, enhancing cybersecurity measures by automatically identifying and quarantining threats.

• Integrated Python-based malware detection into NASA's cybersecurity monitoring pipeline; the effort improved threat identification, and automated quarantine processes for detected threats by 25%.

• Enhanced cybersecurity posture by integrating machine learning-based malware detection into real-time security monitoring pipelines.

• Python, TensorFlow, Scikit-learn, Machine Learning, Feature Extraction, Real-time Monitoring, Cybersecurity, Data Analysis, Algorithm Optimization, API Integration

Optimized Data Structures for Efficient Search Algorithms – C++, Python

• Designed and implemented custom data structures such as balanced binary search trees and hash maps to improve search efficiency in large datasets.

• Applied these data structures to optimize algorithms, resulting in a 50% reduction in search time for complex queries in a database of over 1 million records.

• Conducted a comparative analysis of different data structures, presenting findings on the trade-offs between memory usage and processing speed.

• C++, Python, Data Structures (Balanced Binary Search Trees, Hash Maps), Algorithm Optimization, Performance Analysis, Memory Management, Complexity Analysis

Discord Bot Development and Cloud Deployment – Python, Discord.py, AWS

• Developed a feature-rich Discord bot using Python to automate server management tasks, provide interactive commands, and engage users with various utilities and games.

• Developed an advanced Discord bot using the Discord.py library, integrating automated role assignment and moderation tools; streamlined server management, resulting in a 30% reduction in user-related issues within the first month.

• cloud services, enhancing the real-time data processing capabilities and increased system efficiency by 35% in handling network traffic.

• Python, Discord.py, AWS (EC2, Lambda, S3, CloudWatch), Bot Development, Cloud Hosting, CI/CD, Scalability

• Developed and maintained a web based Discord bot using Discord.py and Representational State Transfer APIs; this automated server maintenance tasks, boosted user engagement by 20%.

Contact this candidate