$ whoami
$ ./current-role --status
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I focus on the strategic integration of Artificial Intelligence and enterprise cybersecurity. By engineering AI-driven workflows and automation driven architectures, I help global organizations proactively mitigate risk and mature their security posture. Leveraging a technical stack that includes Python, SQL, React, Grafana, and PowerBI alongside core enterprise platforms (M365, OKTA, EntraID, AD, AWS, GCP), I build data-driven, scalable security ecosystems. My expertise lies in enabling AI driven systems solutions for enterprise level security systems
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YEARS IN SECURITY & AI
PROJECTS worked on till date
LICENSES & CERTIFICATIONS
Total awards obtained
Publications
$ ls -la projects/
Built for a Smart City hackathon run by Honeywell, BCIC and Amrita Vishwa Vidyapeetham, winning a stage-1/top-25 placement. A medical model that classifies disease from images (malignant skin disease, CT scans), cutting sample-review time from hours to seconds, usable without prior domain expertise.
Ideation submitted to IEEE-SPS & IIIT-Allahabad (Oct 2021), placing 1st for advances in biometric signal processing. Uses voice as a biometric for financial institutions: feature extraction feeds a fusion network (CNN, NMT, ASR) that generates a one-time-statement for stronger transaction security.
"Congenital Heart Disease Detection Using Spectral Analysis and CNN" — a published approach combining spectral analysis of heart sound signals with a convolutional neural network to classify congenital heart disease.
A medical device any layman can use to analyze lung condition and get notified of abnormalities, using an ML model trained to classify healthy vs. abnormal lung sounds recorded by the device. Built with IEDC, BNMIT.
A device-linked application for farmers to track day-to-day field activity: soil pH, temperature, and farmer-union records, with deep learning-based plant disease detection/classification and prevention guidance. Built with IEDC, BNMIT.
Designed an ANN for a Donkeycar platform and modified its structure to detect potholes, while the car follows a path and decides acceleration and turn angle in real time.
Satellite images are classified by content — monuments, mountains, car parking, water bodies, ships, docks and grounds — with the dataset and classification set growing as users contribute more inputs.
"A Comparative Study of Joint and Bolt Structures with and without Edge Detection using CNN" — a published comparison of CNN classification performance on structural joint/bolt imagery with and without an edge-detection preprocessing step.
A 75/25 train-test model that links to zoo or wildlife-sanctuary media feeds and identifies individual animals, self-updating as new images arrive so the database and classification accuracy grow with every upload.
Used AI and API-driven logic to migrate core infrastructure from a source system to a target system, giving clients clear visibility into source-target compatibility and cutting full migration timelines from months to days.
Delivered a holistic view of access, roles, and entitlements tied to enterprise users, enabling clients to maintain and optimize access, simplify M&A access consolidation, and implement drift detection for roles created in the IGA system.
Built a generative solution giving reviewers a clearer breakdown of access to each user, and resolved access governance issues through implementation of GenAI systems.
Built multi-level agentic AI orchestration for daily operational tasks, integrated into L1 and L2 support, enabling multiple clients to achieve significantly better MTTR through agent-performed support operations.
Gave clients centralized control over third-party application user lifecycles, bringing 84 applications under a universal logout capability, with custom API endpoints to communicate access revocation and data retention for P2/critical processes.
Senior Security Consultant at EY focused on AI-driven automation, digital identity, and enterprise security architecture. My work involves modernizing Identity and Access Management (IAM) platforms, enhancing security maturity, and mentoring teams to establish best practices for global organizations, leveraging expertise in OKTA, EntraID, Active Directory, Grafana, M365, Power BI, React and Python.
Bangalore Karnataka
Obtained 10.0 CGPA, 1st position in the school of class 10th board exam certificate from eTestZone, and obtained PRATHIBA PURASKARA from Karnataka State secondary Teachers' Association
Bangalore Karnataka
Obtained 89.16% in 1st PUC and 86.16% 2nd PUC.
Bangalore Karnataka
Bengaluru, Karnataka, India
Bengaluru, Karnataka, India
India
Bangalore, Karnataka
Bangalore, Karnataka
Bangalore, Karnataka
Bangalore, Karnataka
INDIA-Bengaluru
tejassurajkoundinya@gmail.com