Amol Dumrewal

CEO

Bengaluru, Karnataka, India8 yrs 7 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in building AI systems for Security Operations.
  • Led AI strategy for an AI-native SOC platform.
  • Co-founded a social platform and led a tech team.
Stackforce AI infers this person is a leader in AI-driven security solutions with a strong background in software development.

Contact

Skills

Core Skills

Artificial IntelligenceTechnical LeadershipMachine LearningComputer VisionSoftware DevelopmentEntrepreneurship

Other Skills

AI strategyAWSAdaptive CardsAlgorithm AnalysisAlgorithm DevelopmentApache KafkaApache SparkAutomated Visual Difference frameworkBack-End Web DevelopmentCC++Competitive CodingDeep LearningDockerElasticSearch

About

I build and lead AI systems that deliver real outcomes in high-stakes environments like Security Operations. Currently, I drive AI strategy and product direction for an AI-native SOC platform, building and deploying LLM-powered systems for alert triage, investigation automation, playbook generation, and analyst augmentation. I own AI systems end to end — from product definition and evaluation to production deployment — with a strong focus on reliability, explainability, and SOC trust. I work closely with SOC teams, automation engineering, and leadership to translate real-world security pain points into scalable AI systems that reduce MTTR, improve investigation quality, and meaningfully scale analyst effectiveness. I believe the future of SOCs is AI-augmented analysts, not fully autonomous black boxes. Previously, I led Data Science at 56 Secure, worked as a Software Development Engineer at Microsoft, and co-founded a social platform as CTO. I hold a Bachelor’s and Master’s degree in Computer Science and AI from IIT Madras.

Experience

Airmdr, inc.

AI Lead

Jan 2024Present · 2 yrs 2 mos · Remote

  • Driving AI strategy and execution for an AI-native SOC platform.
  • Define and deliver LLM-powered capabilities across alert triage, investigation automation, playbook generation, and analyst augmentation. Own AI systems end to end, from product definition and evaluation to production deployment, with a strong focus on reliability, explainability, and SOC trust.
Large Language Models (LLM)AI strategyalert triageinvestigation automationplaybook generationanalyst augmentation+5

56 secure

Founding Research Engineer

Jul 2021Dec 2023 · 2 yrs 5 mos

  • Spearheaded vision, audio, location intelligence and optimisation solutions at 56 Secure
  • Led development of AI based Video Surveillance and Location Surveillance Products
  • Implemented a self-learning Face Recognition system akin to Google Photos' people feature
  • Built model ensemble strategy for automated labeling of object detection datasets
  • Led the design, training, and optimization of neural network models for edge deployment
  • Executed end-to-end anomaly detection system 'Move' for route tracking, enhancing user safety during travels
  • Hiring and growing both our tech and the product team
  • Built and mentored a strong 6 member DS team
  • Vision: object detection, object tracking, face detection, face recognition, ANPR, vehicle entry-exit, motion detection, object re-identification, depth estimation, anomaly detection
  • Proficient in Python, Node.js, GoLang, C++, C, working across AI, ML, DL, backend, web, mobile, and camera devices
  • Tech stack: AWS, Tensorflow, keras, elasticsearch, Kibana, Spark, TF-serving, PyTorch, ONNX, flask, Elastic Inference, MongoDB, GraphHopper, EKS, ECS, Kubernetes, Docker, gunicorn, Redis, Kafka, numpy, scipy, pandas, ray, ray-serve, LabelStudio, cuda, nvidia tao toolkits, cnngen, ambarella
PythonNode.jsGoLangC++CAWS+23

Microsoft

Software Development Engineer

Jul 2019Jul 2021 · 2 yrs

  • Microsoft Teams - Platform Extensibility
  • Lead Software Engineer for the below attached features on Teams iOS
  • Led the transition to latest architecture patterns like MVVM and MVVM-C for Platform team
  • Adaptive Cards expert for Teams Mobile and led growth from 1M MAU to 20M MAU: adaptivecards.io
  • Built an Automated Visual Difference framework, target and pipeline for testing UI intensive components
  • Onboarded and mentored 7 new hires to the team and was responsible for team fun events
iOS DevelopmentMVVMAdaptive CardsAutomated Visual Difference frameworkSoftware DevelopmentTechnical Leadership

Schmooze

Co-Founder & CTO

Jun 2019Jan 2021 · 1 yr 7 mos

  • A fast-paced journey where we came all the way from generating visa photos to playing with memes 😉
  • LuMos PhotoID: Use AI to generate and print Passport/Visa photos on your mobile device
  • LuMos Collections: Intelligent platform to store, search and maintain your meme collection
  • LuMos Memes: Social media platform for creating, consuming and exchanging memes
  • Schmooze: Social media platform to connect university students based on humour
  • Led a team of 8 amazing developers, who enabled me to focus on things other than coding, like product, design, strategy, and roadmaps
Artificial IntelligenceMachine LearningDeep LearningComputer VisionPythonEntrepreneurship

Robert bosch centre for data science and artificial intelligence (rbcdsai)

Student Researcher

Aug 2018Jun 2019 · 10 mos

  • Causal Inference and Reasoning | Probabilistic Graphical Model | Expectation Maximization | Genetic Algorithms | Genomics
Artificial IntelligenceMachine LearningPython

Goprac

Research Intern | Deep Learning

Jan 2018Oct 2018 · 9 mos · Remote

  • Video sentiment analysis: Processing of video streams (both audio and visual) to extract various human sentiments using multimodal deep learning.
Artificial IntelligenceMachine LearningDeep LearningPython

Ibm research lab

Machine Learning Researcher

May 2017Aug 2017 · 3 mos · Bengaluru Area, India

  • Worked in the field of Intelligent User Interfaces for social good. Designed and prototyped a collaborative platform for incident reporting. Backend included various machine learning algorithms for document similarity, clustering and chat-bots.
  • End-to-end system design has been made open-source with details shared in the research papers published at ACM IUI 2018, Tokyo and ACM CoDS 2018.
Artificial IntelligenceMachine LearningDeep LearningPython

Trexquant investment lp

Global Alpha Researcher | Quantitative Modelling for Medium Frequency Trading

Jan 2017May 2017 · 4 mos · United States

  • Developing profitable "Medium-Frequency" equity trade signals for USA, Canada, Europe and Asian markets
Python

Bitwise academy

Research & Development | Machine Learning

Jun 2016Aug 2016 · 2 mos

  • Dealt with the analysis of various ML models and their performance in predicting student performance and future coursework.

Indian institute of technology, madras

Placement Coordinator

Apr 2016Mar 2017 · 11 mos

Education

Indian Institute of Technology, Madras

Bachelor's degree — Computer Science and Engineering

Jan 2014Jun 2018

Technical University of Munich

Visiting Undergraduate — Informatics

Jan 2018Jan 2018

Indian Institute of Technology, Madras

Master's degree — Artificial Intelligence

Jan 2018Jan 2019

St. Patrick's H.S. School, Asansol

ICSE

Jan 2012Present

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