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MOHANESH SIRIGINEEDI

System Engineer at TCS | Enthusiastic in Cyber Security | Networking | Agentic AI | Developement

Palacole

< 1 year of work experience

Tata Consultancy Services
May 20261 moPresent

Hyderabad, Telangana, India

IIDT Black Bucks
May 20241 moMay 2024

Developed an e-learning website to enhance personalized learning experiences, potentially increasing student engagement. Implemented performance monitoring features and provided teachers access to dashboards for tailored support. Problem: Develop a solution to automatically detect, mitigate, and recover from DDoS attacks on cloud-hosted web applications, ensuring high availability and minimal downtime. Problem: Many People now a days the cyber threats are increasing vastly, so a solution to detect those threats is very important to reduce the loss caused by it.
CodSoft
Mar 20242 mosApr 2024

Kolkata, West Bengal, India

During my internship at CODSOFT, I worked on diverse machine learning projects, successfully completing 4 out of the 5 tasks assigned by the team leader with an accuracy of approximately 90%. My key contributions included: Movie Genre Classification: Developed a predictive model to classify movies into genres based on their descriptions, leveraging natural language processing techniques. Credit Card Fraud Detection: Built a robust machine learning model to identify fraudulent credit card transactions using anomaly detection and statistical methods. Customer Churn Prediction: Designed and implemented a system to predict customer churn, providing actionable insights for retention strategies. Spam SMS Detection: Created a text classification model to accurately detect spam messages, enhancing communication security. This experience strengthened my skills in machine learning, data preprocessing, feature engineering, and model evaluation, while also emphasizing the importance of delivering high-quality results under deadlines.

Education

SRKR Engineering College

Bachelor of Technology - BTech, Computer Science

SRKR Engineering College

20224 yrs2026

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Headline

System Engineer at TCS | Enthusiastic in Cyber Security | Networking | Agentic AI | Developement

About

I am a Computer Science and Engineering graduate from SRKR Engineering College with strong interests in Artificial Intelligence, Cybersecurity, and Software Development. Passionate about solving real-world problems through technology, I enjoy building intelligent and innovative systems that combine AI with security solutions. Currently working as a System Engineer at TCS, I am excited to begin my professional journey and contribute to impactful technologies while continuously learning and growing in the field of emerging technologies. Throughout my academic journey, I have worked on multiple projects involving AI, Machine Learning, Cloud Security, and Cybersecurity. My experience includes developing an AI-powered EDA Analysis System using AI agents and RAG architecture, building an E-Learning Platform for Smart India Hackathon (SIH), developing a DDoS Prevention System using Intrusion Detection and Machine Learning techniques, and working on Malware Threat Detection systems that integrate ethical hacking with AI-driven approaches. I am continuously enhancing my expertise in AI, cybersecurity, cloud security, ethical hacking, intelligent systems, and modern development technologies, with a strong passion for innovation, problem-solving, and creating real-world impact through technology.

Location

Palacole

Work experience

System Engineer at Tata Consultancy Services, May 2026 - Present · 1 mo, Hyderabad, Telangana, India

Intern at IIDT Black Bucks, May 2024 - May 2024 · 1 mo, Developed an e-learning website to enhance personalized learning experiences, potentially increasing student engagement. Implemented performance monitoring features and provided teachers access to dashboards for tailored support. Problem: Develop a solution to automatically detect, mitigate, and recover from DDoS attacks on cloud-hosted web applications, ensuring high availability and minimal downtime. Problem: Many People now a days the cyber threats are increasing vastly, so a solution to detect those threats is very important to reduce the loss caused by it.

Intern at CodSoft, Mar 2024 - Apr 2024 · 2 mos, Kolkata, West Bengal, India, During my internship at CODSOFT, I worked on diverse machine learning projects, successfully completing 4 out of the 5 tasks assigned by the team leader with an accuracy of approximately 90%. My key contributions included: Movie Genre Classification: Developed a predictive model to classify movies into genres based on their descriptions, leveraging natural language processing techniques. Credit Card Fraud Detection: Built a robust machine learning model to identify fraudulent credit card transactions using anomaly detection and statistical methods. Customer Churn Prediction: Designed and implemented a system to predict customer churn, providing actionable insights for retention strategies. Spam SMS Detection: Created a text classification model to accurately detect spam messages, enhancing communication security. This experience strengthened my skills in machine learning, data preprocessing, feature engineering, and model evaluation, while also emphasizing the importance of delivering high-quality results under deadlines.

Education

Bachelor of Technology - BTech, Computer Science, SRKR Engineering College