Akshay Kumar Bolusani
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Founder @ ProjectKaro | Full-Stack Developer | AI/ML Engineer | Software Services
Hyderabad, Telangana, India
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FounderProjectKaroDec 2025 - Current (11 months)• Founded a software services platform focused on websites, startup MVPs, full-stack applications, and research projects.
• Led a team of 8 members and successfully delivered 60+ projects.
• Managed project lifecycle including client discussions, architecture design, development, testing, and deployment.- AI-ML Virtual InternGoogle for DevelopersJan 2024 - Mar 2024 (3 months)Successfully completed a 10-week virtual internship in Artificial Intelligence and Machine Learning under the India Edu Program, supported by Google for Developers, AICTE NEAT Cell, and EduSkills.
Key responsibilities and learning outcomes included:
Gained practical experience in supervised and unsupervised learning algorithms
Worked on real-world machine learning projects and model deployment
Understood the application of AI/ML in industry scenarios
Strengthened skills in Python, data preprocessing, model evaluation, and cloud tools
Collaborated in a virtual learning environment with peers and mentors - Web Development InternDigital ConnectSep 2022 - May 2026 (3 years 9 months)Developed and maintained 100+ websites for clients.
Built responsive web applications using modern frameworks.
Worked on UI/UX design and optimization.
Managed client requirements and project deployment.
Collaborated with marketing and design teams.
Education
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- Bachelor of Technology - BTech, Computer ScienceMalla Reddy University HyderabadSep 2022 - Apr 2026 (3 years 8 months)
- Intermediate, MPCSri Chaitanya College of EducationAug 2020 - Jan 2022 (1 year 6 months)
- IGrade X, Junior High/Intermediate/Middle School Education and TeachingIris EduValley World SchoolAug 2017 - Jul 2020 (3 years)
Projects (professional or personal)
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- EEnterprise SOC Lab: Threat Detection & Hunting with Wazuh, Suricata & SysmonJul 2026 - Current (4 months)Designed and deployed a multi-VM Enterprise Security Operations Center (SOC) lab to simulate real-world detection and threat hunting workflows.
• Deployed Wazuh SIEM using Docker
• Integrated Suricata IDS for network intrusion detection
• Configured Windows 11 and Ubuntu endpoints with Wazuh agents
• Enabled Sysmon telemetry collection for Windows monitoring
• Simulated SSH brute-force and Nmap reconnaissance attacks using Kali Linux
• Performed Security Configuration Assessment (SCA) and File Integrity Monitoring (FIM)
• Investigated alerts using Wazuh Threat Hunting and MITRE ATT&CK-aligned detections
Technologies:
Wazuh
• Suricata
• Sysmon
• Docker
• Ubuntu
• Win - LLi-ion Battery State of Health (SOH) Prediction — Physics-Guided ML Pipeline with FastAPI DeploymentI recently completed a full-stack machine learning project focused on lithium-ion battery State of Health (SOH) prediction.
The goal was practical: turn raw charge/discharge signals—voltage, current, and temperature—into a reliable SOH estimate and actionable output for testing and maintenance teams. I implemented a pipeline that loads and cleans battery cycles, extracts physics-guided features (capacity fade, ICA peaks, DC internal resistance, thermal behavior), and trains models from classical baselines through deep learning experiments.
In Phase 2, I added structured validation: multi-battery harmonization, ablation studies, cross-battery generalization, robustness checks (noise/missing data), and explainability wit - PPhishGuard AI — Explainable Hybrid Phishing Detection SystemJun 2026 - Jul 2026 (2 months)Built a production-inspired full-stack cybersecurity platform that detects phishing emails using a multi-layer AI pipeline combining rule-based heuristics, classical ML, transformer models, and LLM-based explainability.
Designed an end-to-end SOC-style analysis system that generates structured security reports with risk scoring, URL intelligence, sender reputation analysis, and NLP-derived threat signals.
🚀 Core Contributions
Architected a hybrid ensemble detection pipeline (rules + TF-IDF ML + optional DistilBERT + LLM reasoning layer)
Built scalable backend using FastAPI (async, modular service architecture)
Implemented 29+ phishing detection heuristics and ensemble-based scoring system
Designed
Awards
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- VAppreciation CertificateVysya Vikasa Vedika VVVI am delighted to share that I have received an Appreciation Certificate from Uppala Srinivas at Vysya Vikasa Vedika (VVV) for achieving a remarkable score of 975 out of 1000 in my Intermediate examination. This recognition not only reflects my academic dedication but also serves as a testament to my commitment to excellence. I am grateful for the support and encouragement from my teachers and mentors, which has played a significant role in this achievement. This honor motivates me to continue striving for excellence in all my endeavors.
- MToken of Appreciation Certificate from Govt of Telangana and Andhra PradeshManoVignana YatraReceived Token of Appreciation Certificate from Govt of Telangana and Andhra Pradesh for being the Graphic Designer for ManoVignana Yatra 2022. Received award from Minister @satyavathirathod Ma'am and @jagan_trs TSTS Chairman.