Tejas S Koundinya
Security is a promise. I build the systems that keeps it.
I engineer security platforms, govern enterprise digital identity, and build AI-driven workflows and products — precise, deliberate work for the people and organizations who depend on it.
$ ./current-role --status
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About
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, including identity governance and administration (IGA) via SailPoint IdentityIQ and Saviynt
Digital Identity & AI & Security Engineer.
# cat profile.json
- birthday: "14 Oct"
- website: myCV-tsk
- city: "Bengaluru, India"
- degree: "BE - Electronics & Communication Engineering"
- email: "tejassurajkoundinya@gmail.com"
# cat hobbies.log
- Coding - (1st prize in IEEE-SPS & stage-1 winners of Smart City hackathon by Honeywell)
- Sketching & Painting (2nd prize in poster making, Nature club)
- Photography (2nd prize in Nature club, photo featured in Wild Karnataka)
- Problem solving (Kaggle code expert)
Quick Note
YEARS IN SECURITY & AI
PROJECTS worked on till date
LICENSES & CERTIFICATIONS
Total awards obtained
Publications
Three Disciplines
Digital Identity
Modernizing IAM platforms — OKTA, EntraID, and Active Directory — designing SSO, access governance, and universal logout capabilities for global organizations. Extending identity governance and administration (IGA) through SailPoint IdentityIQ and Saviynt for access certification, role mining, and provisioning workflows.
see work →AI Engineering
Building agentic AI orchestration, GenAI-driven access review, and automation pipelines that turn months-long processes into hours.
see work →Security Architecture
Hardening cloud and enterprise infrastructure across AWS, Azure, and M365, reducing risk through data-driven, scalable security ecosystems.
see work →Skills
Portfolio
$ ls -la projects/
- voice-recognition.mdAI-AppIEEE
- ai-for-migration.mdAI
- role-mining.mdIGA & AI
- ai-access-review.mdIGA & AI
- agentic-ai-ops.mdAI-Ops & SecOps
- okta-universal-logout.mdOkta - IAM
- dhanavantri.mdapp IEEE
- congenital-heart-disease.mdIEEE
- lungzometer.mdappIEEE
- kup.mdapp
- autonomous-driving-car.mdapp
- satellite-image-classification.mdapp
- joint-bolt-structures.mdIEEE
- animal-monitoring-system.mdapp
# Dhanavantri
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.
┌───────────────┐
│ medical image │
└───────────────┘
│
▼
┌───────────────┐
│ preprocessing │
└───────────────┘
│
▼
┌────────────────┐
│ CNN classifier │
└────────────────┘
│
▼
┌──────────────────────┐
│ diagnosis in seconds │
└──────────────────────┘
# Biometric Voice Recognition for Financial Services & Banking
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.
┌─────────────┐
│ voice input │
└─────────────┘
│
▼
┌────────────────────┐
│ feature extraction │
└────────────────────┘
│
▼
┌───────────────────────────┐
│ CNN │ NMT │ ASR (fusion) │
└───────────────────────────┘
│
▼
┌────────────────────┐
│ one-time statement │
└────────────────────┘
│
▼
┌──────────────────────┐
│ transaction verified │
└──────────────────────┘
# Congenital Heart Disease Detection
"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.
┌─────────────┐
│ heart sound │
└─────────────┘
│
▼
┌───────────────────┐
│ spectral analysis │
└───────────────────┘
│
▼
┌───────────┐
│ CNN model │
└───────────┘
│
▼
┌────────────────┐
│ CHD classified │
└────────────────┘
# Lungzometer
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.
┌────────────┐
│ lung sound │
└────────────┘
│
▼
┌────────────────────┐
│ feature extraction │
└────────────────────┘
│
▼
┌───────────────┐
│ ML classifier │
└───────────────┘
│
▼
┌───────────────────┐
│ abnormality alert │
└───────────────────┘
# KUP
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.
┌───────────────┐
│ field sensors │
└───────────────┘
│
▼
┌──────────────────────┐
│ soil / pH / temp log │
└──────────────────────┘
│
▼
┌───────────────────┐
│ DL disease detect │
└───────────────────┘
│
▼
┌─────────────────────┐
│ prevention guidance │
└─────────────────────┘
# Autonomous Driving Car
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.
┌──────────────┐
│ camera input │
└──────────────┘
│
▼
┌────────────────┐
│ ANN path model │
└────────────────┘
│
▼
┌────────────────┐
│ pothole detect │
└────────────────┘
│
▼
┌───────────────┐
│ drive control │
└───────────────┘
# Satellite Image Classification
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.
┌─────────────────┐
│ satellite image │
└─────────────────┘
│
▼
┌────────────────────┐
│ feature extraction │
└────────────────────┘
│
▼
┌────────────┐
│ classifier │
└────────────┘
│
▼
┌──────────────────┐
│ content category │
└──────────────────┘
# Joint & Bolt Structures — Edge Detection CNN
"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.
┌──────────────────┐
│ structural image │
└──────────────────┘
│
▼
┌────────────────┐
│ edge detection │
└────────────────┘
│
▼
┌────────────────┐
│ CNN classifier │
└────────────────┘
│
▼
┌──────────────────┐
│ joint/bolt class │
└──────────────────┘
# Animal Monitoring System
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.
┌─────────────┐
│ camera feed │
└─────────────┘
│
▼
┌─────────────────┐
│ animal ID model │
└─────────────────┘
│
▼
┌──────────────────┐
│ self-updating DB │
└──────────────────┘
│
▼
┌──────────────────────┐
│ monitoring dashboard │
└──────────────────────┘
# AI for Migration
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.
┌───────────────┐
│ source system │
└───────────────┘
│
▼
┌──────────────────────┐
│ AI compatibility map │
└──────────────────────┘
│
▼
┌──────────────────┐
│ migration engine │
└──────────────────┘
│
▼
┌────────────────────┐
│ target system live │
└────────────────────┘
# Role Mining
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.
┌───────────────────────┐
│ access & entitlements │
└───────────────────────┘
│
▼
┌────────────────────┐
│ role mining engine │
└────────────────────┘
│
▼
┌─────────────────┐
│ drift detection │
└─────────────────┘
│
▼
┌─────────────────┐
│ optimized roles │
└─────────────────┘
# AI-Driven Access Review
Built a generative solution giving reviewers a clearer breakdown of access to each user, and resolved access governance issues through implementation of GenAI systems.
┌─────────────┐
│ access data │
└─────────────┘
│
▼
┌─────────────────────┐
│ GenAI review engine │
└─────────────────────┘
│
▼
┌───────────────────┐
│ reviewer insights │
└───────────────────┘
│
▼
┌─────────────────────┐
│ governance resolved │
└─────────────────────┘
# Agentic AI for Operations
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.
┌─────────────────┐
│ L1 / L2 tickets │
└─────────────────┘
│
▼
┌───────────────────────┐
│ agentic orchestration │
└───────────────────────┘
│
▼
┌───────────────────────┐
│ automated remediation │
└───────────────────────┘
│
▼
┌──────────────┐
│ MTTR reduced │
└──────────────┘
# Okta Universal Logout
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.
┌────────────────────┐
│ revocation trigger │
└────────────────────┘
│
▼
┌──────────────────────┐
│ custom API endpoints │
└──────────────────────┘
│
▼
┌────────────────┐
│ 84 apps synced │
└────────────────┘
│
▼
┌────────────────┐
│ access revoked │
└────────────────┘
Resume
Sumary
Tejas S Koundinya
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, SailPoint IdentityIQ, Saviynt, Grafana, M365, Power BI, React and Python.
- Bangalore
- tejassurajkoundinya@gmail.com
Education
Narayana E-tech 10th
2017
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
Jnana Sweekar 1st & 2nd PUC
2017 – 19
Bangalore Karnataka
Obtained 89.16% in 1st PUC and 86.16% 2nd PUC.
BNMIT BE in ECE
2019 – 23
Bangalore Karnataka
- Obtained GPA of 8.9
- AICTE COLLEGE AMBASSADOR
Certifications
- Google Data Analytics Specialization
- Python for Everybody Specialization
- Using Python to Access Web Data
- Deep Learning for Business
- IoT (Internet of Things), Wireless & Cloud Computing Emerging Technologies
Experience
Senior Security Consultant, EY
January 2026 - Present
Bengaluru, Karnataka, India
- Results-driven Senior Security Consultant specializing in AI-driven automation, digital identity, and enterprise security architecture
- Delivering measurable risk reduction by modernizing IAM platforms and elevating security maturity across global organizations
- Driving identity governance and administration (IGA) initiatives using SailPoint IdentityIQ and Saviynt — access certifications, role mining, and provisioning workflows
- Mentoring teams and institutionalizing best practices
Security Analyst, EY
March 2024 - January 2026
Bengaluru, Karnataka, India
- Specialized in identity and access management (IAM), leveraging OKTA (Classic | Identity Engine | Workflows), Azure and Active Directory to implement secure frameworks
- Worked extensively with AWS and Azure cloud security, ensuring policy adherence and strengthening infrastructure resilience
- Built a strong foundation in Python, PowerShell, Data Analysis, Log Analysis, AI/ML, Power BI, SQL, KQL and automation, designing data-driven security solutions that reduce manual effort and improve accuracy
- Played a key role in securing third-party applications and developing AI-driven insights and automations to secure endpoints
Fullstack and Cyber Developer, Intellithink Industrial IoT
July 2023 - February 2024
India
- Built and optimized event-driven architectures and serverless systems on AWS, improving data processing and scalability
- Developed React-based dynamic dashboards with real-time features, improving user engagement
- Streamlined workflows using node-based cron scheduling and automation tools
- Developed solutions with Okta for SSO using SAML and OIDC, and built inbuilt Okta automations to enforce identity security
Research Intern in IISc
August 2022 - December 2022
Bangalore, Karnataka
- Contributed in computer vision computation
- Violence detection and estimation
- 3+ projects
- Pose estimation and pose recognition for multi-field
- Application of deep and Machine-learning models
RENALYX
February 2022 – June 2022
Bangalore, Karnataka
- Part of UI/ UX development
- Implementation and design of an effective data collection process
- Tasked with data collection and sorting
ELIT TECHNO GROUPS FOR ML/AI
September 2021 - October 2021
Bangalore, Karnataka
- Intern in Elit Techno Groups for ML/AI were learned about different machine learning models and their applications
- Sorted and organized files, spreadsheets, and reports.
- Analyzed problems, identified solutions, and made decisions.
- Maximized productivity by analyzing protocols and identifying areas for improvement
POWERGRID CORPORATE OF INDIA
May 2021 - October 2021
Bangalore, Karnataka
- Intern in PowerGrid corporate of India | academy of leadership for 6+ months experience in data science under the guidance of Sh. Alok Raj, Ch Mgr. (ERP&IT)
- Helped PowerGrid to get one-week prior alerts when a low power generation is excepted which helped them to inform other power stations to increase production.
- Identify panels that required maintenance allowing them to obtain better efficiency in power generation and build a cost-effective approach for maintenance
- Delivered clerical support by handling a range of routine and special requirements.
the future is what we build together.
Open to conversations on identity engineering, agentic AI, and enterprise security — reach out below.
Contact
Location:
INDIA-Bengaluru
Email:
tejassurajkoundinya@gmail.com