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AI Engineer with 3+ years in Cybersecurity, Data Engineering & AI/ML
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Results-driven Innovator and Software Developer with 2+ years of experience in cybersecurity, forensic data engineering, and threat-oriented research. Hands-on experience at the Ministry of Home Affairs (Government of India) building forensic data pipelines for encrypted evidence analysis and delivering court-approved chain-of-custody reports. Lead Inventor on 7 Published Indian Patents including an Autonomous File Security and Data Protection System. Proficient in OSINT methodologies, log analysis, anomaly detection, IOC identification, and cybercrime intelligence workflows. Experienced in Python, C++17, CI/CD, Docker, and cloud-native security tooling. Winner of Academic Excellence Award 2025 and Research & Innovation Excellence Award 2025.
Sage University Indore
Bachelor of Technology · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Ministry of Home Affairs, Government of India
cyber forensic Intern
January 1, 2026 – April 1, 2026
New Delhi, Delhi, India
Infosys Limited
Python Analytics Intern
September 1, 2025 – November 1, 2025
India
Sage University Indore
AI/ML Research & Development
June 1, 2023 – Present
Indore, Madhya Pradesh, India
Forensic Data Annotation & Encryption Engine (bltool)
June 22, 2026 – Present
Architected a production-grade multi-threaded data annotation engine for encrypted NTFS/BitLocker forensic volumes with modular LRU caching, achieving 100% decryption success without proprietary software dependencies. Applied SOLID principles, unit testing, and CMake build automation; deployed via CI/CD for reproducible, government-grade forensic workflows supporting cybercrime investigation teams.
View ProjectAutonomous File Security & Data Protection System
June 22, 2026 – Present
Designed and patented (202621012501 A) an AI-driven system for real-time file integrity monitoring, unauthorized access detection, and automated security response, directly applicable to cybercrime threat intelligence environments.
Intelligent Classroom Surveillance System
June 22, 2026 – Present
Trained CNN-based face recognition models with TensorFlow and OpenCV; deployed TensorRT-optimized inference on edge devices achieving real-time behavioral anomaly analytics at low latency (patented: 202621005771 A).
AI/ML Meal Delivery Recommendation Platform
June 22, 2026 – Present
Built end-to-end AI/ML recommendation system using collaborative filtering, NLP-based matching, and GPS routing, deployed via Docker and FastAPI microservices on cloud infrastructure with real-time BI dashboards.
Autonomous File Security & Data Protection System
IPR India
March 1, 2026 – Present
Elderly Care Health Monitoring System
IPR India
March 1, 2026 – Present
Intelligent Classroom Surveillance using AI, ML & IoT
IPR India
February 1, 2026 – Present
Automated Smart Checkout Trolley
IPR India
January 1, 2026 – Present
AWS Certified Machine Learning (Jupyter Notebook & Python)
Infosys
September 1, 2025 – Present
Data Science with Python
Infosys
July 1, 2025 – Present
Statistics for Data Science
Infosys
July 1, 2025 – Present
Agile Scrum in Practice
Infosys
July 1, 2025 – Present
Smart IoT & AI Parking Spot Finder
IPR India
July 1, 2025 – Present
AI/ML Homemade Tiffin Meal Delivery System
IPR India
May 1, 2025 – Present
DevOps for Data Scientists
Infosys
March 1, 2025 – Present
AI Food Wastage Management System
IPR India
March 1, 2025 – Present
Academic Excellence Award
Unknown
January 1, 2025 – Present
Research & Innovation Excellence Award
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from cybersecurity to smart surveillance and recommendation systems, indicates adaptability and a broad interest in applying AI across various domains. Their involvement in research and development, coupled with a focus on patented innovations, suggests a proactive and growth-oriented mindset. The experience in government and corporate internships, alongside academic research, shows a versatile professional approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by their work on complex forensic data pipelines and patented AI systems. Their experience in collaborative environments (e.g., with investigative and legal teams) and adherence to engineering principles (SOLID, DRY) suggest good operational fit. The numerous certifications in Agile Scrum and DevOps indicate an understanding of modern development methodologies.