Puru Kathuria — Co-Founder

At Google, I work on Backend Engineering, Distributed Systems, and AI. I lead and engineer customer-facing products under Cloud Security. I have also had the privilege of teaching Machine Learning to fellow Googlers. To further my contributions in the space of AI- I teach Applied AI (Machine Learning, Deep Learning, and Language Models) at LexAI www.lexailabs.com, where I help professionals navigate the rapidly evolving AI landscape. Beyond my full-time roles, I also advise and consult with startups across tech and AI. Apart from AI, I've also taught Distributed Systems and System Design at prominent ed-tech companies and I regularly help them design comprehensive AI & ML curricula covering everything from foundational ML to cutting-edge Transformers and modern AI engineering practices for top-tier offline college programs. Previously, I was at MathWorks, where I focused on Backend Engineering, Distributed Systems, and advanced ML/DL implementations. Most of work was solving problems around Self Driving Cars, Motion planning of autonomous vehicles and Speech Recognition. I also ran a Deep Learning Book Club there, fostering a community of learning and knowledge sharing. I write and share my thoughts on AI and technology at www.aiseekhegaindia.com. Apart from Engineering and AI, I am deeply interested in Capital Markets, Equity Research and Quantitative Finance. Always eager to connect with fellow engineers, technologists, educators, and anyone curious about the intersection of AI, engineering, and education.

Stackforce AI infers this person is a Backend Engineer with expertise in AI and Machine Learning across Automotive and Healthcare sectors.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 6 mos

Skills

Backend
Machine Learning
Deep Learning

Career Highlights

Founder of Lex AI, empowering engineers in AI.
Expert in Backend Engineering and Machine Learning.
Led initiatives in automated driving and deep learning.

Work Experience

Lex AI Labs

Founder (1 yr 3 mos)

Google

Software Engineer (2 yrs 11 mos)

MathWorks

Software Engineer II (2 yrs 2 mos)

Software Engineer (6 mos)

Software Engineer Intern (4 mos)

Department of Computational Biology Lab, IIIT Delhi

Researcher (4 mos)

Knowledgeable Computing and Reasoning Lab

Reseacher (4 mos)

airtel

Summer Intern (0 mo)

Education

Master of Engineering - ME/Mtech with Majors in Machine Learning & AI at Indraprastha Institute of Information Technology, Delhi

Intermediate at Delhi Public School - India

Puru Kathuria

Co-Founder

Bengaluru, Karnataka, India6 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Founder of Lex AI, empowering engineers in AI.
Expert in Backend Engineering and Machine Learning.
Led initiatives in automated driving and deep learning.

Stackforce AI infers this person is a Backend Engineer with expertise in AI and Machine Learning across Automotive and Healthcare sectors.

Contact

Skills

Core Skills

BackendMachine LearningDeep Learning

Other Skills

Large Language Models (LLM)AI AgentsJavaC++PythonMATLABSQLSignal ProcessingImage ProcessingKerasPyTorchData StructuresAlgorithmsArtificial Intelligence (AI)Spring Framework

About

Experience

6 yrs 6 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 3 mos

Current Experience

Lex ai labs

Founder

Feb 2025 – Present · 1 yr 3 mos

We help enterprises build AI capabilities, empower engineers to become Machine Learning Engineers and Applied AI Scientists, and enable India to learn AI.
AI Seekhega India -- tabhi toh badhega India.
www.lexailabs.com and www.aiseekhegaindia.com

Google

Software Engineer

Sep 2022 – Aug 2025 · 2 yrs 11 mos

Large Language Models (LLM)AI AgentsBackendMachine Learning

Mathworks

3 roles

Software Engineer II

Jun 2020 – Aug 2022 · 2 yrs 2 mos

Automated Driving, Backend
Core Responsibilities:
Responsible for leading design and implementation of upcoming products around scenario variant generation.
Transitioning requirements to MVP to shipping product.
Responsible for converting an idea to design spec, brainstorming it with cross functional teams to implementing, testing and productizing it.
Other Activities:
Led a Deep Learning book club.
Interviewing (on campus and off campus for Engineering roles)
Mentoring new hires/juniors on multiple fronts.
Bashing/Bug Finding Events.
Hackathons.
Signal Processing and Deep Learning, Backend
Implemented Keyword spotting Algorithm, machine fault detection algorithm and deployed it on Intel-MKL DNN and Raspberry-Pi. MATLAB to C++ for deployment.
Feature Engineering on Speech signals. Bi-LSTMs and CNNs.
Languages: Java; C++; Python; MATLAB; SQL;
Theoretical Computer Science: Algorithm Design; Signal Processing; Machine Learning; Deep Learning; Linear Algebra; Image Processing; Motion Planning for Self driving cars;

JavaC++PythonMATLABSQLSignal Processing+4

Software Engineer

Jun 2020 – Dec 2020 · 6 mos

Software Engineer Intern

Jan 2020 – May 2020 · 4 mos

Automated Driving, Backend.
Algorithms for scenario generation and simulation: Reduced search space and improved the Actors field of view algorithm's runtime by 75%. Represented the road network as a Graph. Scaled the design to Automatic scenario generation.
Solved more than 50 real world customer centric problems around ML, DL, Image processing and programming fundamentals.
Facilitated and presented knowledge sharing meetings that revolved around cutting edge tech. (DL, Autonomous driving, RL)

Department of computational biology lab, iiit delhi

Researcher

Jan 2020 – May 2020 · 4 mos · Delhi, India

APTOS 2019 Blindness Detection on Kaggle under Bio-Informatician and Head of CB at IIIT Delhi, GPS Raghava. (https://en.wikipedia.org/wiki/Gajendra_Pal_Singh_Raghava)
Developing Deep Learning Algorithms for detecting diabetic retinopathy to stop blindness before it's too late.
Problem: Multi Class Image Classification problem.
After performing Data Cleaning, Preprocessing and Data Exploration, experimented with various Algorithms to perform as well in the challenge as possible. (CNNs, DenseNet, EfficientNet, Ensembles of multiple learners)
Theoretical Tech: Image Processing; Machine Learning; Deep Learning; Linear Algebra; Calculus.
Applied Tech: Python; Keras; PyTorch; Keras; Jupyter Notebook.
https://www.kaggle.com/purukathuria/competitions?tab=completed

PythonKerasPyTorchImage ProcessingMachine LearningDeep Learning

Knowledgeable computing and reasoning lab

Reseacher

Dec 2018 – Apr 2019 · 4 mos · Delhi, India

Areas of Research: Knowledge Graphs, RDF Graphs, Property Graphs, Ontologies, Graph Databases, Triple Stores.
Designed and Developed Algorithms for Evaluating Resource Description Framework (RDF Graphs) and Property Graphs on Triple Stores and Graph Databases. Evaluation was performed using Industry standard benchmarking standards (WatDiv, SP2B and LUBM) from the perspective of Loading, Querying and Reasoning Support.
Evaluated on Neo4j, Cassandra, BlazeGraph, Apache Jena.
Translated all the SQL queries to Cypher Query Language for Neo4j.
https://github.com/kracr/rdf-pg-eval/tree/master/Puru.neo4j