Sajeev Rajput

Software Engineer

Bengaluru, Karnataka, India13 yrs experience
Highly Stable

Key Highlights

  • Expert in deep learning for embedded systems.
  • Proven track record in automotive AI solutions.
  • Strong experience in developing microservices for edge applications.
Stackforce AI infers this person is a specialist in AI and embedded systems for automotive applications.

Contact

Skills

Core Skills

Embedded SystemsMicroservicesModel DeploymentAdasAlgorithm DevelopmentMachine Learning

Other Skills

OpenVINODocker ProductsBLASGEMMEmbedded CMongoDBKerasTensorFlowAgile MethodologiesSDLCMainframeData MiningPL/SQLCUnix

About

Full stack development for AI- powered embedded devices- Data Gathering, Model design, Optimize, Sensor code integration | Testing Automotive (Advanced Driver Assistance Systems) | Banking Deep Learning | AI/ML | Model Optimization for Embedded Devices Docker | Databases Object Detection | Classification | Data Pipeline | ML Infrastructure Python | C/C++ | MongoDB | SQL Automotive Radar Sensors ARM Devices Experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Highly skilled in Deep learning and ML in general especially on low-powered real-time critical systems. Strong command over different off-the-shelf ML algorithms using Python. Recently been building GStreamer and Intel DL Streamer based microservices for vision applications at the edge. Past experience in development and testing business workflow application for a large financial firm

Experience

13 yrs
Total Experience
4 yrs 5 mos
Average Tenure
4 yrs 1 mo
Current Experience

Intel corporation

Software Engineer

Apr 2022Present · 4 yrs 1 mo · Bengaluru, Karnataka, India

  • Developer for DL Streamer Pipeline Server and other microservices for industrial solutions at the edge
OpenVINODocker ProductsEmbedded SystemsMicroservices

Continental

3 roles

Technical Architect, AI Perception, ADAS

Feb 2021Apr 2022 · 1 yr 2 mos

  • Model integration and deployment on automotive sensors.
BLASGEMMModel DeploymentADAS

Module Lead

Promoted

Jan 2020Feb 2021 · 1 yr 1 mo

  • Developed radar based detection and classification algorithms using image and point-cloud based deep learning methods.
  • Framework development to assist developers with their ML tasks.
Embedded CMongoDBAlgorithm DevelopmentMachine Learning

Senior Engineer

Nov 2017Jan 2020 · 2 yrs 2 mos

  • Research & Development. Providing Machine Learning solutions for Advanced Driver Assistance Systems (ADAS).

Infosys

Test Analyst

May 2013Nov 2017 · 4 yrs 6 mos · Bengaluru, Karnataka, India

  • Software development and validation for Business Process Management applications for a major financial firm.

Education

NIST University

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2008Jan 2012

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