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Yashwant Dagar

CEO

Bengaluru, Karnataka, India10 yrs 3 mos experience

Key Highlights

  • 11 years of experience in Software & System Design.
  • Strong research background with 8 global patents.
  • Expertise in developing GenAI products for FPGA automation.
Stackforce AI infers this person is a leader in AI-driven embedded systems and FPGA development.

Contact

Skills

Core Skills

Ai AgentsGenaiMachine LearningEdge AiArtificial IntelligenceFpga AccelerationComputer Architecture

Other Skills

Field-Programmable Gate Arrays (FPGA)GstreamerAutomationapplicationsRobot Operating System (ROS)System on a Chip (SoC)Deep LearningInternet of Things (IoT)System ArchitectureResearch and Development (R&D)Intellectual PropertyPatentsPatentabilityPatent LitigationEOU

About

I have 11 years of working experience in Software & System Design primarily with Machine Learning SOCs, FPGA, Programmable, Arm Based SOCs & Microcontrollers! > Experienced in handling all aspects of development cycle including architecture definition & planning, hardware/software development, Linux customization, validation & debugging. > Strong Research background; holding 8 global patents. > Demonstrated technical leadership, team development and ownership of product roadmap & critical deliverables. Among all, I worked on development and deployment of GenAI Products for automation of FPGA Development, gstreamer pipeline creations with more then 30+ Edge ML Use cases deployment, in addition to a several other reference designs/Apps for Deep Learning including, Object Detection, Video Region of Interest(ROI) Detection, Video Encoding/Decoding, LIDAR Data Processing with Deep Learning, Speech Recognition with LSTM, 6DOF object pose detection, vision transformers and Generative AI applications I value a breadth of knowledge & experiences as it enables one to come-up with cross-domain & most optimized system level solutions.

Experience

10 yrs 3 mos
Total Experience
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Average Tenure
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Current Experience

Intelligent edge systems

Founder & CEO

May 2024Apr 2025 · 11 mos · Bengaluru, Karnataka, India

  • Featured in CIO Insider: https://www.cioinsiderindia.com/vendor/intelligent-edge-systems-charting-the-path-for-growth-and-innovation-in-edge-ai-iot-solutions-cid-2273.html
  • The journey continues with a new identity.
  • From Intelligent Edge Systems to CraftifAI, our evolution reflects more than just a name change; it’s about expanding our vision and building the future of intelligent products.
  • What started as a mission to pioneer Edge AI with GenAI has transformed into a full-stack innovation powerhouse: empowering businesses to design, develop, and deploy smarter, faster, and at scale.
GstreamerComputer ArchitectureMachine LearningRobot Operating System (ROS)System on a Chip (SoC)EDGE AI+2

Craftifai

Co-Founder & CTO

Apr 2024Present · 2 yrs 2 mos · Bengaluru, Karnataka, India · On-site

  • CraftifAI is one of the fastest growing company focusing on the application layer of GenAI.
  • Get in touch if you want to be part of the team redefining the traditional ways of developing embedded software & systems.
AI AgentsgenaiField-Programmable Gate Arrays (FPGA)GstreamerAutomationapplications

Sima.ai

Lead Engineer - System Applications

Oct 2022Jan 2024 · 1 yr 3 mos · On-site

GstreamerSystem ArchitectureResearch and Development (R&D)Artificial IntelligenceComputer ArchitectureMachine Learning+1

Xilinx

3 roles

Sr. System Design Engineer

Jul 2021Oct 2022 · 1 yr 3 mos

FPGA accelerationGstreamerComputer ArchitectureMachine LearningRobot Operating System (ROS)

Design Engineer

Mar 2019Jun 2021 · 2 yrs 3 mos

  • >Part of Apps team responsible for delivering reference designs for Zynq Ultrascale+ & Versal Devices.
  • > Video Machine Learning Reference Example Designs for AV, Automotive Segments.
  • > Speech Recognition on edge.
  • > Exploring Deep Learning based LIDAR algorithm deployment on Xilinx Devices.
  • > HW software co-design and optimal Partitioning of Application between ARM, FPGA & AI Engines.
  • > Application Mapping on heterogeneous Architectures
  • > Automation of Design & test Methodologies & setting up regressions.
  • > Customization of Embedded Linux for Xilinx SoC
  • > Reference designs for PCIe, MIPI & HDMI Video Interfaces
  • > Experienced with Pre-production boards bring-up.
  • > Debugging System Level Customer Issue
FPGA accelerationComputer ArchitectureMachine Learning

FPGA (Hardware) Design Intern

May 2018Mar 2019 · 10 mos

  • Part of the System's team, responsible for development and up-gradation of VCU & RFSOC Reference designs.
  • > Working on VCU (Video Codec Unit) Reference Designs targeted for Zynq Ultrascale+ Devices.
  • >Exploring & working to optimize Machine learning Algorithms for AI Engine on Xilinx Versal Devices.
FPGA accelerationComputer ArchitectureMachine Learning

Xungry.com

Co-Founder & Head-Operations

Dec 2017Apr 2018 · 4 mos · Tiruchchirappalli Area, India

  • Built an MVP for a online food and grocery delivering platform, managed web development team and overlooked at developing operations team.
  • Shutdown as we couldn't raise funds to continue

National institute of technology tiruchirappalli

Research Assistant

Aug 2016May 2018 · 1 yr 9 mos · Tiruchchirappalli Area, India

  • Working of Hardware Implementation of Deep Learning. In general my work includes
  • > Exploring popular architectures of Convolutional Neural Networks
  • >Exploring state of the art Existing FPGA & ASIC accelerators for inference
  • > Exploiting sparsity and network pruning for Energy efficiency
  • > Proposing Novel Architectures and implementing in Verilog HDL
  • > Extracting model data and parameters from pre-implemented models in caffe
  • Currently I am working on a novel architecture focused on energy efficiency of CNN. In future, I plan to work in Hardware-software co-design for efficient implementation of CNN & Accelerating the training of CNN of specialized Hardware. I plan to use High level languages such as C/C++ or openCL for next work with HLS Tool.
  • > Implementation of essential communication blocks on WARPLab, a MATLAB based flow for Proof
  • of concept & in verilog for FPGA based Implementation.
  • > Implemented a hardware efficient, in-place FFT Architecture in verilog.
FPGA accelerationComputer ArchitectureMachine Learning

Sagacious ip

Patent Research Analyst

Jul 2014Apr 2015 · 9 mos · Palam Vihar,Gurgaon,Haryana

  • I was part of Patent Licensing and technology commercialisation Team and have been involved with various kind of projects including Infringement Analysis, Identification of potential licensee,Preparing Evidence of Use (EoU) / Claim chart, Patent Ranking, File Wrapper Analysis, SWOT Analysis, Product Listing and Market Research.
Computer Architecture

Education

National Institute of Technology, Tiruchirappalli

Master of Science-Research (Drop-out) — Digital VLSI & Machine Learning

IIIT Hyderabad

Summer School on Machine Learning — Machine Learning

Jan 2018Jan 2018

National Institute of Technology Kurukshetra

Bachelor of Technology - BTech — Electronics & Communication Engineering

Apr 2010May 2014

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