Hello World

My name is Harini Kannan. I’m an AI Engineering and Product Lead with prior experiences as  Data Scientist,  Machine Learning Engineer and AI Product Manager.  I have 10+ years experience in building data products from scratch, turning Proof of Concept ML models and ideas to working products used by humans. I have a background in Startups, Business Analytics, User Behavior Analytics, Cybersecurity, Supply Chain & Logistics and AI Product Management. 

Here’s a Deep Dive on my resume by Google’s NotebookLM AI 🙂 

Quick Background :

I started my career at a cybersecurity startup called Capsule8 (NYC) in 2017 as a Data scientist, and was the 16th employee. I organically moved to a Tech + Product role as I was building our first 0-1 AI product and subsequently led its launch, which generated $2M in revenue in its first year.

I was part of Capsule8’s successful acquisition by Sophos in 2021, where I worked on multiple AI products, specifically in cybersecurity and customer acquisition/ retention. Later I joined as a Senior AI/ML Product Lead at a startup called Oko. Currently I lead the AI Engineering efforts at Rad Security.

I’m also the founder of Product Bulb (https://productbulb.com/) . It’s vision is to be a one-stop shop for product frameworks and strategy for building tech products rapidly and at scale, and to help smart engineers build a strategic product muscle to transition into product decision making roles. The focus get more granulated on building effect AI products at scale and for solving real customer problems. I recently completed my Product Management and Product Strategy Certification from the Product School, so my ideal Venn diagram of impact is AI + Product + Interesting problems to solve. 

I have given talks at MLOPS Community, DEFCON, CAMLIS, BlackHat (USA), Open Data Science Conference (East), Data Science Salon, PyData (Boston), Data Connectors and Analytics Vidhya. I love writing about product management and AI.

My technical areas of research in AI/ML:

• Applied Large Language Models for practical use-cases
• Cybersecurity AI (Anomaly and threat detection, User Behavior Analysis, Addressing Alert Fatigue)
• AI Agents and Workflows 
• RAG Implementation Strategies
• Document extraction
• Fine tuning LLMs
• MLOps / LLMOps
• Distributed XGBoost and tree based models
• AWS Sagemaker
• Explainable AI

My Product interests include:

• Building 0 to 1 products 
• Product prioritization frameworks
• AI Product Strategy
• Distilling complex ambiguous business requirements to concrete product strategy and engineering user stories
• Value Proposition
• Product Discovery
• Customer and Market Research
• Competitor Analysis
• Gen AI Usecases and Strategy
• AI Accountability (My favorite Question – What’s your AI ROI ?)

My technical areas of research in Cybersecurity AI:

• Insider Risk Management
• Cache-side channel and other hardware based attack detection – like Spectre, Meltdown, Rowhammer and ROP
• Topic modeling for data discovery
• User and Entity Behavior Analysis
• ML for Cryptomining Detection
• Entity Resolution
• Autoencoders for unsupervised anomaly detection

My articles written for Capsule8:

1. Spectre and Meltdown – The Data Science Approach: https://tinyurl.com/bdne4f63
2. Major Key Alert: Data Discovery For Red Teams with an ML Tool for Keylogging: https://tinyurl.com/y5mu274s
3. Unsupervised Anomaly Detection Using BigQueryML and Capsule8: https://tinyurl.com/4srm8cfs

Email: harini at productbulb.com

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Product Management Certification

Product Strategy Certification

ML Observability Fundamentals Certification