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Open to pioneering AI roles Bengaluru · Remote Ready

Debasish Tripathy

AI/ML Engineer · Security Researcher · Founder

I design resilient, human-centered intelligence—delivering reliable AI products, safeguarding enterprise systems, and leading teams from problem framing to impact at scale.

  • Trusted to harden Philips' global AI stack, slashing security compliance timelines by 74%.
  • Founder of AI Food Pantry—1,200+ users and $1,000 in cloud grants powering equitable food access.
  • Documented vulnerabilities at Google, GitHub & LinkedIn with responsible disclosure.
  • 4 granted patents & 3 research publications in privacy, computer vision, and evaluation science.
Academic
0

CGPA · Cybersecurity major

Impact
0

Active users on AI platforms

Accuracy
0

AI systems exceeding expectations

Portfolio
0

End-to-end products delivered

AI x Security

Designing trustworthy intelligence

  • Led AI security protocols at Philips, governing PKI lifecycles and SailPoint automation for 500+ teams.
  • Architected scalable MLOps pipelines—from data strategy to production rollouts with 99.9% uptime.
  • Builds agentic systems and RAG workflows powering healthcare, food sustainability, and safety innovations.
  • Mentors communities, leads research collectives, and advocates for ethical, inclusive AI adoption.
AI Security MLOps Leadership Generative AI Responsible Innovation
Actively interviewing for 2025 new grad roles & research fellowships

About Me

Final-year Computer Science & Engineering (Cybersecurity) student from Bengaluru, specializing in AI/ML engineering and security research.

I actively discover and report vulnerabilities in major platforms like Google, GitHub, and LinkedIn. With proven expertise across the complete ML lifecycle—from research to production deployment—I focus on building secure, scalable systems.

My work integrates cutting-edge AI with robust security measures, ensuring solutions are not only groundbreaking but also trustworthy and safe. I've led technical teams, secured funding, and delivered high-impact AI solutions that drive real-world change.

AI/ML Engineering 95%
Cybersecurity 92%
Computer Vision 90%
Cloud & DevOps 88%
Research & Innovation 93%

Technical Arsenal

AI & Machine Learning

Deep Learning CNNs RNNs Transformers ViT DINO Transfer Learning Computer Vision YOLO Image Segmentation NLP LLM Fine-tuning RAG Sentiment Analysis NER Generative AI Diffusion Models GANs MLOps

Cybersecurity

AI Security Adversarial Attacks Model Robustness Ethical AI Threat Detection Vulnerability Analysis Federated Learning Differential Privacy PII Detection PKI Infrastructure Cisco Umbrella SailPoint Compliance HIPAA Penetration Testing

Programming

Python Java C++ SQL TypeScript JavaScript Bash PyTorch TensorFlow Hugging Face LangChain FastAPI Django React

Data & Analytics

Pandas NumPy Matplotlib Seaborn Tableau Power BI Grafana Data Analysis Statistical Modeling A/B Testing

Databases

MongoDB PostgreSQL MySQL Redis SQLite Pinecone Vector DBs Database Design Query Optimization

Cloud & DevOps

AWS Azure GCP AWS SageMaker AWS Lambda Docker Kubernetes Terraform CI/CD MLflow DVC

Professional Journey

AI Security & Compliance Intern

Philips

Bengaluru, India

July 2025 - Present

Current Role

  • Reduced security compliance timelines by 74% (390 to 100 days) through automated validation and reporting
  • Enhanced identity governance efficiency by 40% via automated access control workflows using SailPoint
  • Managing PKI infrastructure for entire Philips organization, handling certificate lifecycle and cryptographic security
  • Processing firewall requests and maintaining Cisco Umbrella security platform for DNS-layer security
  • Authored foundational AI security protocols establishing standards for secure model development
  • Designed and executed an AI-driven phishing simulation for 500+ employees, identifying critical security risks
Python SailPoint AWS Docker AI Security Cisco Umbrella PKI

Founder & Chief Executive Officer

AI Food Pantry

Bengaluru, India

May 2024 - Present

Startup Founder

  • Pioneered an AI food management platform, securing $1,000 in cloud credits and growing to 1,200+ users
  • Architected scalable cloud infrastructure with 99.9% uptime, supporting 500+ concurrent users
  • Developed proprietary ingredient recognition model with 95% accuracy
  • Built recommendation engine increasing user meal preparation efficiency by 37%
  • Forged partnerships with grocery chains to combat food waste and insecurity
PyTorch TensorFlow AWS SageMaker React Native MongoDB Kubernetes FastAPI

Trusted Tester

Google Labs

Remote

Aug 2024 - Jan 2025
  • Identified critical prompt injection vulnerability in Imagen 3, leading to direct patch by Google
  • Developed and open-sourced unofficial wrapper for AudioFX API, enabling global developer access
  • Co-authored official AudioFX Cookbook with novel use cases
  • Performed comparative analysis against DALL-E 3 and Midjourney to refine product strategy
Security Testing API Development Generative AI Technical Writing

Machine Learning Engineer

Genie AI, Inc.

Ontario, CA

Apr 2024 - Jan 2025
  • Developed AI Digital Twin framework and medical bot achieving 92% user satisfaction
  • Reduced operational costs by 35% for enterprise clients through AI automation
  • Created Agentic AI framework optimizing warehouse management, cutting costs by 36%
  • Engineered fire safety detection system with 87.62% accuracy in low-visibility environments
PyTorch Transformers AWS Lambda NVIDIA CUDA Docker Kubernetes

Software Engineering Intern

Adobe Inc.

Bengaluru, India

Nov 2023 - Dec 2023
  • Designed specialized multimodal datasets for Adobe Firefly, improving model precision by 36%
  • Enhanced CLIP embedding techniques, boosting text-to-image generation accuracy by 20%
  • Collaborated with AI research team on cutting-edge generative models
Adobe Firefly PyTorch CLIP Google Cloud AutoML Tableau

Featured Projects

AI Food Pantry

2024 - Present
  • AI-powered food analysis using ResNet50 achieving 95% accuracy
  • RAG pipeline with LangChain reducing query time by 40%
  • Recommendation system with 93% relevance using collaborative filtering
  • Combating food insecurity and promoting sustainability
  • 1,200+ active users
Gemini SQLite LangChain Pinecone FastAPI Redis

Cybersecurity Defense System

2025 - Intel Partnership
  • ML-powered threat detection identifying 98.7% of zero-day vulnerabilities
  • Novel transformer-based autonomous patching system
  • Real-time network security monitoring
  • Enterprise-grade deployment for critical infrastructure
PyTorch Transformers Network Security ML Ops

Centralized Healthcare System

2025 - Deloitte Partnership
  • HIPAA-compliant medical records using Hyperledger Fabric
  • Privacy-preserving federated learning improving diagnostics by 32%
  • 88% uptime with full compliance
  • Secure patient data management across healthcare networks
Hyperledger Federated Learning HIPAA Blockchain

CryptoCracker

2024
  • BERT classifier predicting encryption algorithms with 95% accuracy
  • Reduced prediction query time by 70-80%
  • Adaptive ML algorithms with fallback mechanisms
  • Ethical cryptography analysis tool
BERT Cryptography Blockchain Security

Character AI with Voice

2024
  • Flask app with Google's Generative AI for character interactions
  • Voice recognition and synthesis for dynamic dialogues
  • Context-aware conversation flows
  • Feedback loop for continuous improvement
Flask Gemini NLP Voice AI

Tarot Card Predictor

2023
  • Online platform for personalized tarot readings
  • Voice interaction for immersive experience
  • ML algorithms for tailored readings
  • Intuitive interface with card interpretations
Flask Gemini OpenCV MongoDB

Research & Publications

Published Research

Beyond Redaction: Context-Aware PII Detection and In-situ Correction using Generative AI

Debasish Tripathy, with Dr. Gururaj & Dr. Shreyas

Under Review - 2025

Designed a PII detection system achieving 99.2% accuracy and developed novel automated data amendment mechanisms using Large Language Models, ViT, and SAM.

PII Detection LLM Vision Transformers Privacy AI

A Comparative Analysis of Supervised Learning Evaluation Metrics

Debasish Tripathy, with Dr. Deepti Sisodia

Published - NMI 2025

Conducted large-scale analysis of 12 evaluation metrics across 8 ML domains, proposing a new framework for domain-aware model selection.

Machine Learning Evaluation Metrics Model Selection

Vastu-Based Architectural Assessment Using Computer Vision

Debasish Tripathy, with Dr. Tusar

Published - IJAC 2024

Developed novel computer vision system analyzing architectural floor plans for Vastu Shastra compliance.

Computer Vision Architecture Pattern Recognition

Patents & Intellectual Property

Vastumeter

Granted - No. 202541045118

Comprehensive Vastu measurement and analysis device for architectural compliance assessment.

Fashion Assessment System

Granted - No. 202441086519

System for automated fashion assessment and recommendation using AI.

Smart Neck Accessory

Granted - No. 202541087250

Wearable device with integrated safety and alert features for personal protection.

Paranormal Detection Mechanism

Pending

Novel sensor fusion system for detecting anomalous environmental phenomena.

Cipher Decryption Algorithm

Copyright - No. 37205/2024-CO/L

Novel algorithm for rapid decryption of symmetric key-encrypted ciphers for forensic investigations.

Education

Bachelor of Technology

Computer Science & Engineering (Cybersecurity)

Manipal Institute of Technology, Bengaluru

Aug 2022 - May 2026
8.11/10.0

CGPA

Key Coursework
  • Advanced Algorithms
  • Deep Learning Systems
  • Computer Vision
  • Natural Language Processing
  • Reinforcement Learning
  • Distributed Systems
  • Cloud Computing Architecture
  • Quantum Computing Fundamentals
  • System Design
  • Information Security & Cryptography
Research Focus
  • Computer Vision Applications
  • Large Language Model (LLM) Fine-tuning
  • Federated Learning Privacy
  • AI Security & Robustness
  • Privacy-Preserving Machine Learning
  • Adversarial Machine Learning

Achievements & Recognition

Hackathons & Competitions

2nd Prize - PwC Firecrest Hackathon

Advanced AI solution for enterprise challenges

1st Prize - Coder Army System Design Hackathon

Scalable system architecture design

1st Prize - Schneider Electric Cybersecurity CTF

Capture the Flag cybersecurity competition

Winner - Autodesk EduHack

Educational technology innovation

Winner - Microsoft AI Odyssey India

AI innovation challenge

4th Position - Walmart Global ML Hackathon

Machine learning solutions for retail

Leadership & Community

President

Sustainable Development Club, MITBLR

Leading initiatives for sustainable technology and environmental awareness

Vice Chair

Papers We Love (PWL) Research Group, MITBLR

Organizing research paper discussions and academic collaborations

Open Source Contributor

Active contributor to AI/ML and security projects

Technical Mentor

Mentoring students in AI/ML and cybersecurity domains

Security Research

Google Security Researcher

Discovered critical vulnerabilities in Imagen 3

GitHub Vulnerability Reporter

Active security research and responsible disclosure

LinkedIn Security Research

Platform security analysis and bug bounty

Impact & Recognition

$1,000 Cloud Credits

Secured for AI Food Pantry platform development

1,200+ Platform Users

Active users on AI Food Pantry platform

74% Efficiency Improvement

Security compliance optimization at Philips

98.7% Threat Detection

Zero-day vulnerability identification rate

Let's Connect

Interested in collaboration, research opportunities, or just want to chat about AI and security?

Let's build something amazing together!

Based in Bengaluru, India 🇮🇳

Available for full-time opportunities and collaborations