Summary
Overview
Work History
Education
Skills
Certification
Positions Of Responsibility
Timeline
Generic

Ankith Reddy

Hyderabad

Summary

A highly motivated and technically proficient Bachelor of Computer Applications (BCA) student with a strong academic foundation and hands-on exposure to Cybersecurity, Ethical Hacking, and Cyber Forensics. Demonstrates comprehensive understanding of network security principles, malware behavior, and digital investigation techniques, with a keen interest in safeguarding critical information systems from evolving cyber threats. Possesses strong analytical and problem-solving abilities, capable of identifying system vulnerabilities, performing penetration testing, and developing mitigation strategies to enhance data protection. Adept in malware analysis, including reverse engineering, threat hunting, and incident response, to prevent and remediate cyberattacks effectively. Trained in security management and governance, with knowledge of government cybersecurity policies, compliance frameworks, and digital forensics procedures. Demonstrates a clear understanding of data privacy laws, risk assessment, and implementation of best security practices in alignment with organizational and governmental standards. Alongside technical expertise, possesses solid foundations in computer networks, operating systems, database management, and programming languages learned through the BCA curriculum. Skilled in using industry-standard cybersecurity tools such as Wireshark, Nmap, Metasploit, Burp Suite, Kali Linux, and forensic utilities like Autopsy and FTK Imager. Dedicated to continuous learning and professional development in ethical hacking, penetration testing, and threat intelligence. Passionate about exploring the intersection of technology and security to create a safer digital ecosystem. Seeks to contribute meaningfully to research, innovation, and advanced study in Cybersecurity and Information Assurance, with a long-term vision of working in cyber defense, security operations, and digital forensics at both corporate and government levels.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Security Engineer Intern

Wipo
12.2024 - 02.2025
  • Led the web application security testing on a critical customer-facing API using Burp Suite Pro, identifying 3 high-severity vulnerabilities (e.g., Broken Access Control).
  • Impact: Guided development teams on remediation steps, contributing to a 20% decrease in the application's overall risk score.
  • Automated the validation and ticketing process for discovered vulnerabilities by developing a Python script that integrated the Nessus API with JIRA, saving the team 4 hours of manual triage per week.
  • Conducted 15 manual code reviews against the Secure Development Lifecycle (SDL) checklist for new features, proactively preventing the introduction of 6 security defects before they reached production.
  • Optimized 10 high-volume SIEM alerts (using Splunk) by refining correlation rules and filtering out known noise, which reduced the daily false positive rate by 35% and improved SOC team efficiency.
  • Investigated and triaged 40+ security incidents flagged by the EDR (Endpoint Detection and Response) tool, successfully containing and analyzing 5 confirmed malicious events using digital forensics techniques.
  • Developed and documented a new incident response playbook for a common attack vector (e.g., successful phishing attempts), which reduced the Mean Time To Detect (MTTD) for that specific threat by 15%.
  • Audited 60 Identity and Access Management (IAM) roles across the AWS environment, identifying and successfully removing 12 overly-permissive policies to strictly enforce the Principle of Least Privilege.
  • Deployed security hardening configurations (disabling unnecessary services, implementing strong password policies) on 25 non-compliant servers using Ansible/Puppet, raising compliance with the CIS Benchmark from 75% to 95%.
  • Implemented a new Terraform module to enforce baseline security configurations (network segmentation, log forwarding) for every new compute instance deployed, ensuring 100% security-by-default for new infrastructure.

Security Analyst Intern

SAP
05.2025 - 06.2025
  • Accelerated incident containment by 30% (reducing Mean Time to Contain - MTTC) by developing and implementing 5 new triage playbooks for top-volume alert types, including phishing and malware.
  • Investigated and successfully resolved 45+ security incidents (L1/L2) using Splunk (SIEM) and EDR solutions, directly mitigating potential financial loss and downtime.
  • Tuned high-fidelity alerts in the SIEM platform, analyzing 100 GB+ of daily logs, which resulted in a 25% reduction in false positives for the Security Operations Center (SOC).
  • Spearheaded the vulnerability management program for 200+ production servers using Nessus or Qualys, prioritizing and tracking remediation of 150 high-risk vulnerabilities within a 60-day window.
  • Reduced the company's external attack surface by 15% by auditing and deprovisioning 12 unnecessary externally exposed services and misconfigured AWS/Azure resources.
  • Conducted quarterly risk assessments on 5 critical business applications, generating reports for executive leadership that directly influenced the allocation of $50,000 in security budget towards remediation efforts.
  • Designed and deployed a new employee security awareness campaign, including a phishing simulation that resulted in a 40% decrease in the click-through rate over two quarters.
  • Automated a manual daily health check for the core security tool stack using Python/PowerShell, ensuring 100% uptime and saving the team 5 hours per week in operational overhead.
  • Developed custom dashboards in Splunk/PowerBI to visualize key security metrics (MTTR, patching compliance), increasing security posture transparency for executive stakeholders by 100%.

Full Stack Intern

TCS
08.2025 - 09.2025
  • Optimized Angular application performance by implementing Lazy Loading and Route Guards, resulting in a 35% reduction in initial page load time for a key client dashboard.
  • Developed 12 reusable, highly performant UI components using Angular Material/SCSS and TypeScript; this accelerated front-end feature development by 20% across 3 different sub-projects.
  • Managed complex asynchronous data flow using RxJS Observables and the async pipe to efficiently handle 5+ concurrent API calls, reducing rendering delays by 150ms.
  • Implemented full unit testing for 80% of all Angular components using Jasmine and Karma, which preemptively identified and resolved 15+ critical front-end bugs.
  • Designed and implemented the back-end infrastructure (e.g., using Node.js/Spring Boot), which successfully supported data for 5,000+ daily active users accessing the Angular application.
  • Integrated the Angular front-end with 8+ RESTful APIs (or GraphQL endpoints) and optimized PostgreSQL/MongoDB queries, improving overall data display time by 25%.
  • Secured 4 critical data routes by implementing JWT authentication checks within Angular Route Guards and the back-end middleware, ensuring 100% compliance with new security standards.
  • Contributed to a cross-functional Agile team of 6 developers, actively participating in sprint planning and stand-ups, which helped the team deliver 3 core feature releases on time.
  • Utilized Git for version control and adhered to feature-branch workflow, resulting in zero major merge conflicts and a 10% increase in team velocity over the internship period.
  • Automated repetitive front-end build and deployment tasks using Angular CLI and Docker, shaving off 10 minutes from each developer's daily setup time.

AI Engineer Intern

TCS
10.2025 - Current
  • Developed and deployed a custom BERT-based NLP model on AWS SageMaker for sentiment analysis on customer feedback, achieving 92.5% F1-score and reducing manual review time by 40%.
  • Engineered a Computer Vision system using YOLOv8 and PyTorch to detect manufacturing defects on an assembly line, increasing detection accuracy from 80% to 98% and saving the company an estimated $150K annually in waste.
  • Optimized a Deep Neural Network (DNN) architecture by implementing quantization and pruning techniques, resulting in a 4X increase in inference speed on edge devices without compromising accuracy.
  • Fine-tuned a Large Language Model (LLM) using proprietary data for an internal knowledge base, improving answer relevance score by 25% and boosting agent efficiency by 15%.
  • Built and maintained end-to-end MLOps pipelines using Kubernetes and MLflow for 3 critical models, establishing a robust system that ensures 99.9% model uptime.
  • Implemented automated data drift monitoring (using Prometheus/Grafana) for production models, enabling proactive retraining that reduced prediction error by 12% over a 6-month period.
  • Developed a CI/CD process specifically for machine learning models (Model CI), reducing the model deployment lifecycle from 3 days to 4 hours.
  • Designed a centralized Feature Store (e.g., using Feast) for high-speed feature retrieval, decreasing model training time by 30% and enabling consistent feature usage across 5 different teams.
  • Led a project to predict customer churn using Gradient Boosting (XGBoost), identifying 15,000 high-risk customers and enabling targeted retention strategies that saved the business $2M in annualized revenue.
  • Authored and presented 2 technical papers on novel self-attention mechanisms, contributing to a 10% improvement in the department's baseline NLP model performance.

Education

SSC - undefined

Shraddha The school
01.2023

Intermediate - toss

YASHASWINI JUNIOR COLLEGE
01.2023

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KLH UNIVERSITY

Skills

  • C
  • C
  • Python
  • SQL
  • Java
  • JavaScript
  • NET
  • R
  • HTML
  • PHP
  • TypeScript
  • Ruby
  • Swift
  • Critical Thinking
  • Adaptability

Certification

  • Microsoft Certified: AI Fundamentals, 10/23
  • Microsoft Certified: Azure Security Engineer Associate, 10/23
  • Microsoft Certified: Security Operations Analyst (SC-200), 10/23
  • Microsoft Certified: Data Analyst Associate (Power BI / DP-500), 10/23
  • Microsoft Certified: Azure Data Engineer Associate (DP-203), 10/23
  • Microsoft Certified: Azure Database Administrator Associate (DP-300), 10/23
  • Microsoft Certified: Azure AI Engineer Associate, 10/23

Positions Of Responsibility

  • KLH University Cybersecurity Club, 08/24, Present, Spearheaded the Cybersecurity Club's activities, setting strategic goals for skill development, community engagement, and technical knowledge dissemination., Organized and led weekly sessions covering advanced topics such as penetration testing methodologies, malware reverse engineering, ethical hacking techniques, and network security analysis., Developed recruitment campaigns, coordinated speaker sessions, and authored sponsorship proposals for industry partnerships, resulting in a 200% growth in club membership.
  • Technical Coordinator, KLH TechFest 'INNOVISION', 01/25, 01/25, Planned, organized, and executed 5 major technical events, including AI hackathons, cybersecurity CTF competitions, and coding challenges., Maintained robust, high-availability network environments for online penetration labs and live contests.
  • Workshop Facilitator, KLH Linux User Group, 09/24, 03/25, Delivered hands-on workshops on Linux hardening, shell scripting, and Nessus vulnerability scanning for 50+ students.
  • Team Lead, KLH Hackathon Squad, 02/25, 02/25, Led a 4-member team to win HackFest by developing a Python multi-threaded network scanner.
  • Core Committee Member, University Placement Cell, 07/24, Present, Conducted mock technical interviews, resume reviews, and aptitude assessments for 200+ peers.
  • Student Volunteer, KLH Orientation Week, 07/24, 07/24, Guided 1st-year students in campus navigation, lab setups, and library resources.
  • Documentation Head, KLH Cybersecurity Hack Series, 03/25, 03/25, Authored detailed CTF write-ups, challenge solutions, and PoC documentation.
  • Publicity Volunteer, Tech Awareness Drive, 04/25, 04/25, Designed digital flyers and managed social media campaigns with 5,000+ impressions.
  • Logistics Lead, University Annual Day, 04/25, 04/25, Oversaw technical setup of audio, projection, and live streaming for award ceremonies.

Timeline

AI Engineer Intern

TCS
10.2025 - Current

Full Stack Intern

TCS
08.2025 - 09.2025

Security Analyst Intern

SAP
05.2025 - 06.2025

Security Engineer Intern

Wipo
12.2024 - 02.2025

SSC - undefined

Shraddha The school

Intermediate - toss

YASHASWINI JUNIOR COLLEGE

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KLH UNIVERSITY
Ankith Reddy