About

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I am currently the Technical Lead for MLOps @ Renesas, where I architect and develop MLOps product for automotive System-on-Chip (SoC) customers. As the torchbearer for the product, I’m deeply invested in building the best (ease-of-use, performance, scaling) for my customer: “The ML product engineers in your automotive company”

With 10+ years experience in semiconductors, I’ve gained hands-on experience across the technology stack: hardware from “CMOS to systems” and software from “embedded applications to deep learning”. As a curious problem-solver, I have had the opportunity to be an inventor on 25+ US patents (pending & granted) in semiconductor memories, edge AI computing, and AI-powered applications.

I bring strong customer understanding and product thinking, though proven work experience in both Tier-1 (Bosch) and Tier-2 (Renesas, Micron) companies within the automotive segment.

Outside of work, I often:
1) Volunteer for K-12 STEM initiatives in local communities. Founder at CampML.org
2) Mentor young professionals in undergrad and graduate engineering programs.
3) Hack/Make (Robotics, IoT, 3D printing, AI art, etc).


Publications

Updated April 6th 2025

Sl. No.Publication TitleAuthor(s)YearConference/Journal
1Software engineering approaches for tinyml based iot embedded vision: A systematic literature reviewShashank Bangalore Lakshman, Nasir U Eisty2022Proceedings of the 4th International Workshop on Software Engineering Research and Practice for the IoT; ICSE 2022
https://conf.researchr.org/profile/icse-2022/shashankbangalorelakshman

Inventions

Updated April 6th 2025

Sl. No.Patent TitleInventor(s)AssigneePatent ID
1ANALOG COMPUTING CONFIGURED MEMORYBANGALORE LAKSHMAN SHASHANK [CA]  KALE POORNA [CA]MICRON TECHNOLOGY INC [US]US2024329841A1
2CERTIFICATION OF DEVICE CALIBRATIONSBANGALORE LAKSHMAN SHASHANK [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024354422A1
3IMPRINT MANAGEMENT FOR MEMORYBANGALORE LAKSHMAN SHASHANK [US]  HARMS JONATHAN D [US]  STRAND JONATHAN J [US]  BASUTA SUKNEET SINGH [US]MICRON TECHNOLOGY INC [US]US12230349B2  US2023253064A1
4TRUST BASED FEDERATED LEARNINGBANGALORE LAKSHMAN SHASHANK [US]  PRAKASH PAVANA [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024289634A1
5Quantization at Different Levels for Data Used in Artificial Neural Network ComputationsTIKU SAIDEEP [US]  LAKSHMAN SHASHANK BANGALORE [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024161489A1
6Augmented Reality Devices with Passive Neural Network ComputationTIKU SAIDEEP [US]  LAKSHMAN SHASHANK BANGALORE [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024280813A1
7DEVICE TRAINING AT A DETERMINED QUANTIZATIONBANGALORE LAKSHMAN SHASHANK [US]  PRAKASH PAVANA [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2025041663A1
8SURVEILLANCE USING TRANSFER LEARNING OF A FEDERATED MODELBANGALORE LAKSHMAN SHASHANK [US]  PRAKASH PAVANA [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024346328A1
9Accelerating Machine Vision with Peripheral and Focal Processing using Artificial Neural NetworksLAKSHMAN SHASHANK BANGALORE [US]  TIKU SAIDEEP [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024282074A1
10AUTHENTICATION BASED SECURE FEDERATED LEARNINGBANGALORE LAKSHMAN SHASHANK [US]  PRAKASH PAVANA [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024378456A1
11Configurable Acceleration of Peripheral Machine Vision Implemented using Artificial Neural NetworksLAKSHMAN SHASHANK BANGALORE [US]  TIKU SAIDEEP [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024282071A1
12Encode Inputs to Reduce Energy Usages in Analog Computation AccelerationSUNNY FEBIN [US]  TIKU SAIDEEP [US]  LAKSHMAN SHASHANK BANGALORE [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024171192A1
13Deep Learning Computation with Heterogeneous AcceleratorsTIKU SAIDEEP [US]  SUNNY FEBIN [US]  LAKSHMAN SHASHANK BANGALORE [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024281291A1
14NETWORK FOR BEHAVIOR MODELINGKALE POORNA [US]  BANGALORE LAKSHMAN SHASHANK [US]  PRAKASH PAVANA [US]  SUNNY FEBIN [US]MICRON TECHNOLOGY INC [US]US2025068802A1
15Energy Efficient Computations of Attention-based InferencesTIKU SAIDEEP [US]  SUNNY FEBIN [US]  LAKSHMAN SHASHANK BANGALORE [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024281428A1
16ARTIFICIAL NEURAL NETWORK TRAINING USING EDGE DEVICESPRAKASH PAVANA [US]  BANGALORE LAKSHMAN SHASHANK [US]  SUNNY FEBIN [US]  TIKU SAIDEEP [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024202521A1
17MACHINE LEARNING MODEL AGGREGATIONPRAKASH PAVANA [US]  BANGALORE LAKSHMAN SHASHANK [US]  SUNNY FEBIN [US]  TIKU SAIDEEP [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024220860A1
18IMPRINT RECOVERY MANAGEMENT FOR MEMORY SYSTEMSBASUTA SUKNEET SINGH [US]  BANGALORE LAKSHMAN SHASHANK [US]  HARMS JONATHAN D [US]  STRAND JONATHAN J [US]MICRON TECHNOLOGY INC [US]US12019506B2  US2021089385A1
19OPERATION DECOMPOSITION USING EDGE DEVICESPRAKASH PAVANA [US]  BANGALORE LAKSHMAN SHASHANK [US]  SUNNY FEBIN [US]  TIKU SAIDEEP [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024281289A1
20DISPLAYING OUTPUT DATA FROM A DRIVER ATTENTION MODEL ON A DISPLAYPRAKASH PAVANA [US]  BANGALORE LAKSHMAN SHASHANK [US]  SUNNY FEBIN [US]  TIKU SAIDEEP [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024367670A1
21CLASSIFYING AN AREA AS HAZARDOUS OR NON-HAZARDOUS BASED ON AN OPERATION OF A SEMICONDUCTOR DEVICEPRAKASH PAVANA [US]  BANGALORE LAKSHMAN SHASHANK [US]  SUNNY FEBIN [US]  TIKU SAIDEEP [US]  KALE POORNA [US]MICRON TECHNOLOGY INC [US]US2024231993A1
22IMPRINT RECOVERY FOR MEMORY ARRAYSSTRAND JONATHAN J [US]  BASUTA SUKNEET SINGH [US]  BANGALORE LAKSHMAN SHASHANK [US]  HARMS JONATHAN D [US]MICRON TECHNOLOGY INC [US]US11217303B2  US2021090641A1
23IMPRINT RECOVERY FOR MEMORY CELLSHARMS JONATHAN D [US]  STRAND JONATHAN J [US]  BASUTA SUKNEET SINGH [US]  BANGALORE LAKSHMAN SHASHANK [US]MICRON TECHNOLOGY INC [US]US10998080B2  US2021090681A1
This list was curated using the patent search at https://worldwide.espacenet.com/

Disclaimer: The opinions expressed in this website are my own. They do not purport to reflect the opinions or views of the my current or former employers.