Jagan Kumar Govindarajan

Jagan Kumar Govindarajan

Mentor
Rising Codementor
US$10.00
For every 15 mins
ABOUT ME
Successful in developing video streaming application on multiple embedded hardware. Also have experience in designing and implementing secu
Successful in developing video streaming application on multiple embedded hardware. Also have experience in designing and implementing security requirements on embedded hardware

Highly accomplished technology professional with 24+ years of experience in architecting and delivering complete software solutions spanning Vision AI on edge devices, cloud technologies, embedded systems, audio/video streaming, and system security. Recognized for a consistent record of successful project execution and driving innovative, scalable, and secure product outcomes.

Chennai (+05:30)
Joined July 2018
EXPERTISE
15 years experience
Experience in developing audio/video streaming application framework, audio/video codecs, pre-processing algorithm etc.
Experience in developing audio/video streaming application framework, audio/video codecs, pre-processing algorithm etc.
15 years experience
Experience in developing and debugging application on hardware platform. Worked with SoCs with ARM, MIPS, ARC, TI's C64x cores.
Experience in developing and debugging application on hardware platform. Worked with SoCs with ARM, MIPS, ARC, TI's C64x cores.
8 years experience
Experience in developing video streaming application in an embedded platform. Development includes enhancing and integrating WMV/H264 Vi...
Experience in developing video streaming application in an embedded platform. Development includes enhancing and integrating WMV/H264 Video codecs & WMA/AAC Audio Codecs in the streaming application. Worked with HLS/DASH streaming protocol. Worked on projects involving processing of raw video and audio. Also have experience in integrating multiple DRM soulutions like widevine, playready etc to the video streaming application
System security
4 years experience
Experience in developing secure boot in an embedded device. Auditing the data flow and identify the critical data moving in the system an...
Experience in developing secure boot in an embedded device. Auditing the data flow and identify the critical data moving in the system and develop scheme to protect the critical data.
Cryptocurrency secure bootOpenssl
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Cryptocurrency secure bootOpenssl
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7 years experience
1 year experience
1 year experience

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EMPLOYMENTS
Director Technology
Velospear Technologies
2021-01-01-2025-12-01
  • Data Correlation from Multiple Sensors: Correlated the data captured by various sensors (WIFI, Bluetooth, License Plate, Face Rec...
  • Data Correlation from Multiple Sensors: Correlated the data captured by various sensors (WIFI, Bluetooth, License Plate, Face Recognition, etc.) and associated with a single anonymous person ID. Later, track the person anonymously and uniquely with one or more data points captured by the sensors. Used: Python, Leiden Algorithm
  • Trilateration: Located the WIFI and BLUETOOTH transmitter devices based on the RSSI of the received WIFI and BLUETOOTH packets from 3 different sensor locations. Used: Python
  • WIFI & BLE Scanner: Scan the WiFi & BLE packets in the vicinity, aggregate data in a time window, and publish to the cloud. Software/Hardware Used: Jetson Orin Nano, i3 PC, RPi5, WiFi BLE Dongle, Kismet, Bleak, Scapy.
  • Face Recognition: Real-time face detection and recognition on edge devices. Software/Hardware Used: Python, Jetson Orin Nano, Deepface, Facenet512, ArcFace Model, Database: Pinecone
  • Real-Time Translation with Avatar: Designed the end-to-system for real-time translation from English speech to Chinese/Japanese speech along with talking avatar using Wav2Lip. Software/Hardware Used: Python, HDMI Splitter, HDMI to USB Adaptor, OBS. Nvidia GPU Server with Wav2Lip, Google Speech-to-text API, Translator API and text-to-speech API
  • Audience Measurement on Edge: Designed and developed real-time audience measurement (person detection with age and gender classification along with vehicle detection) on the edge and publish to the cloud for further processing and generating reports. Software/Hardware Used: Python, Jetson Orin Nano, RTSP/USB Camera, Deep Stream, AWS IoT Core.
  • Anomaly Detection in Edge Devices: Successfully developed data acquisition of environment parameters on the field devices and publish to the cloud using AWS IoT and store into InfluxDB. InfluxDB task to detect any anomaly in the data published (e.g offline, Display OFF, Player Disabled etc)
Computer Vision
Deep Learning
AWS DynamoDB
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Computer Vision
Deep Learning
AWS DynamoDB
AWS Lambda
Aws athena
NVIDIA Jetson
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Director Technology
OPTIMUSIOT TECH LLP
2020-01-01-2020-12-01
  • Led the hardware team to successfully develop a BLE GSM Gateway and various BLE Sensors
  • Designed and developed cloud serv...
  • Led the hardware team to successfully develop a BLE GSM Gateway and various BLE Sensors
  • Designed and developed cloud services (in GCP) with databases, cloud functions, big data components, security & AI/ML
  • Designed and developed an Android App with IoT configurations and a dashboard.
Bluetooth
Cloud Services
GSM
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Bluetooth
Cloud Services
GSM
Golang
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Director Technology
HURREY TECH VENTURES PVT LTD
2020-01-01-2020-12-01
  • Lead a technical team to develop a low-cost educational platform using an embedded device, cloud services (GCP), web and Android ...
  • Lead a technical team to develop a low-cost educational platform using an embedded device, cloud services (GCP), web and Android application
  • The platform is being used in multiple schools in rural India.
Cloud
Raspberry Pi
Cloud Functions
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Cloud
Raspberry Pi
Cloud Functions
Golang
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