Srikanth Anantharam

Rust Developer @ Emrit Inc, Remote

• Working on developing next generation platform for blockchains.

May 2022 — July 2022

Senior Engineer @ L&T Technology Services, Beṅgaḷūru

• Primarily working with C & Python.
• Working on automation of testcases involving post-silicon validation activities.
• Working on development of functional safety software stack for embedded IoT.

Mar 2021 — May 2022

Senior Project Engineer @ Wipro Technologies, Beṅgaḷūru

• Working in agile environment.
• Developing REST API for a chatbot backend.
• Maintaining software projects related to:
• Multimedia analysis for test automation,
• Windows OS installation for validation.
• Developing GUI for assisting developer in the analysis of GNSS logs.

Jun 2019 — Mar 2021

Embedded Software Developer @ UST, Beṅgaḷūru

• Software design and development with Python.
• Firmware development with Embedded C/C++.
• Producing robotics & automation solutions by applying Artificial Intelligence, Machine Learning, Deep Learning, Machine Vision and Embedded Systems.

Dec 2016 — Jun 2019

Industrial Training / Masters' Project Work @ MSDF Group, FMCD, CSIR — NAL, Beṅgaḷūru

• Research, Design & Development on Computer Vision & Miniature Aerial Systems.
• Published 3 papers.

Aug 2014 — May 2015

Teaching and Research Assistantship (TaRA) @ Mechanical Engineering Department, The National Institute of Engineering, Maisūru

• Worked under TEQIP.
• Collaborated on:
• Different multidisciplinary research activities,
• Curriculum development of M.Tech. Industrial Automation and Robotics programme.

May 2014 — May 2015

Research Associate @ Nitte Meenakshi Institute of Technology, Beṅgaḷūru

• Start-up like work environment.
• Worked on couple of robotics projects sponsored by GoI through DST & CAIR, DRDO.
• Contributed to Pick and Place Robot Exhibit project sponsored by IEEE-USA.
• Mentored undergraduate students & taught fundamental programming concepts.
• Published 2 papers.

Jul 2012 — Jul 2013

Internship / Bachelors' Project Work @ Nitte Meenakshi Institute of Technology, Beṅgaḷūru

• Exposure towards multi-disciplinary and cross-disciplinary RDD.
• RDD on Autonomous Mobile Robotics, Artificial Intelligence & Image Processing.

Jun 2010 — Jun 2012

Functional safety software stack development

Technologies: C
Development Platform: Linux
Target Platforms: ACRN, Yocto

• Independently developed the temperature monitoring module of the software stack:
• The module uses a timer to run a handler periodically every 1 millisecond.
• The handler reads the temperature values using MSR & MMIO read.
• Then it sends out the values to the functional safety enabling hardware over the SPI protocol.
• Developed code for performing both correctable & uncorrectable error injections on the ECC memory.
• Benchmarking (with & without ECC enabled) of the RAM reading / writing speeds of the target using open-source tools.

June 2021 — May 2022

Post-silicon Validation Automation

Technologies: Python, PowerShell
Development Platform: Windows
Target Platforms: Windows, Linux

• Automation of validation testcases using a proprietary test automation framework.
• Worked actively on Crossproduct and PRM domains.
• Working as a consultant on software design & development and the framework know-how.

Mar 2021 — May 2022

Backend & REST API development for Chatbot that performs log analysis

Technologies: Python, Flask, mongoDB (PyMongo), AxonIQ
Development Platform: Windows
Target Platform: Linux

• A thermal csv log & a string containing the issue is obtained from the frontend using as POST request.
• Developed the core business logic for reading and parsing the thermal csv logs.
• Developed the code for dumping the parsed JSON log data into mongoDB & Axon repository for maintaining a history.
• Performs analysis on the JSON data to gain valuable insights on the issue.
• Suggests a solution as the response based on the analysis.

3 months

Maintenance of Windows OS installation tool

Technologies: CSharp, .NET, .NET Core, PowerShell
Platform: Windows

• The legacy tool enables manual and automated installation of Windows using:
• Command-line mode (locally or using network).
• Graphical mode (locally or using network).
• Thumb drive mode (locally or using network).
• PXE mode (using network).
• Worked on maintenance and bug fixing of the tool.
• Also worked on development of the tool involving:
• Enabling automated Windows installation while using the thumb drive mode.
• Porting the tool from .NET 4 to .NET Core.

16 months

Maintenance of multimedia analysis tool

Technologies: Python, Flask
Platform: Windows

• The legacy tool enables analysis of audio and video signals using a dedicated embedded hardware.
• The tool is useful for automatically identifying and logging audio and video issues resulting from hardware/firmware issues like:
• Absence of an audio signal.
• Drop-out of audio frames.
• Synchronization of audio and video.
• Video framerate drops.
• Absence of video signal.
• Unwanted screen rotation.

5 months

GNSS Log Analysis Framework (GLAF)

Technologies: Python, pandas, PySide2, NSIS, YAML, MVC
Platform: Windows

• Involved developing of a GUI for assisting the developer in debugging the issues from GNSS logs.
• The GUI allows the user to import, analyze, annotate and visualize csv logs.
• Developed the complete frontend, backend and the core business logic using MVC.

5 months

ThingG

Technologies: Python, PostgreSQL, Flask, scikit-learn, LoRa, Arduino, MQTT
Development & Host Platform: Linux
Target Platform: ESP-32

• ThingG is a system for localization of assets within an indoor environment.
• The asset to be tracked is attached a small LoRa transceiver connected to an ESP-32 powered by a battery expected to power it for an year.
• The indoor environment has 3 LoRa transceivers each connected to an ESP-32 acting as gateways located in known positions. They are connected to the server over MQTT.
• The asset attached LoRa transceiver runs an embedded software to interface the LoRa and continuosly transmits heartbeat signals to the gateways.
• The gateways run an embedded software that measures the strength (RSSI) of the signals received from the asset and sends the data over MQTT to the server.
• The server runs a machine learning model that listens to the data from the server and converts the data into location of the asset.
• The location of the asset is then visualized on an indigenously developed dashboard allowing the user to track it.
• The project stood at the 2nd place in a developer hackathon organized by the company.

4 months

iPLMS

Technologies: Python, PostgreSQL, OpenCV, scikit-learn, MQTT
Development & Host Platform: Linux
Target Platform: Raspberry Pi

• iPLMS is a system for aiding users to find a vacant slot in a parking lot.
• The parking lot is equipped with an overhead camera connected to an edge computing device (Raspberry Pi).
• The device continuously captures the image of the parking lot, segments the slots and runs it through a machine learning model.
• The machine learning model then classifies each slot as being occupied or vacant and sends it over MQTT to the server.
• The server listens to the data from the server and visualizes the occupancy data on a dashboard.

6 months

USB Device Testing Robot

Technologies: Embedded C++, Arduino, Grbl, Python, OpenCV, PySide2, scikit-learn
Development & Host Platform: Linux
Target Platform: Arduino

• The robot is a 2d cartesian with the arm having a male USB end effector whose other side is connected to a computer.
• The robot also has a stationary panel with 5 numbered female USB connectors which can be connected to devices.
• The aim is to allow the computer to plug to multiple devices one by one and perform some testing on each device.
• The robot is run by an Arduino running the Grbl firmware and also equipped with a camera mounted on the moving arm.
• The camera helps in identification of the female connector and provides feedback for safe plugging and unplugging of the USB connector.
• There is a GUI developed which allows selection of a device, plugging, unplugging and also displays the camera's vision.

10 months

Deep learning based PCB asset classification and liveness detection robot

Technologies: Embedded C++, PostgreSQL, Arduino, Python, OpenCV, Flask, TensorFlow
Development & Host Platform: Linux
Target Platforms: ESP-32, Raspberry Pi Zero

• The robot is a 1d cartesian with a shuttle that moves along a track with a station on the one end.
• The shuttle carries a Raspberry Pi Zero with a mounted camera and stops at predefined spots along the track.
• The whole system is mounted on the top of a long desk which hosts the PCB assets.
• The movement of the shuttle is controlled by an ESP-32 microcontroller.
• When the shuttle stops, the camera captures an image of the desk and sends it along with the liveness information over Wi-Fi to the server.
• The server runs the image through a deep learning model to classify the PCB asset if visible in the image.
• The PCB kind and the liveness information is then stored to the database for future usage.

12 months

Design and Development of Robot Mechanisms, Vision and Control Algorithms

Technologies: MATLAB, Embedded Linux, C/C++, SDL, GStreamer, Makefile, ARM NEON SIMD, DSP/BIOS RTOS
Development & Host Platform: Linux
Target Platforms: BeagleBoard-xM

The project was sponsored by Department of Science and Technology (DST), Government of India (GoI).

• Designed and integrated embedded Linux platform on BeagleBoard-xM SBC using Ångström.
• Designed and developed a software framework in C++ for implementing image processing & computer vision applications on BeagleBoard-xM.
• Developed image processing kernels in Embedded C for TI DSP C64x+ for 7 target tracking algorithms and C intrinsics code for ARM NEON SIMD.
• Reduced algorithm execution time by a factor of up to 4.6.
• Optimized the target tracking algorithms for real-time (30fps) performance on BeagleBoard-xM.

13 months

māhiya: Development of a Real Time Human Tracking Capability on a Mobile Platform

Technologies: MATLAB, Embedded C/C++, EAGLE PCB Design, C/C++, OpenCV, Eclipse
Development & Host Platform: Linux
Target Platforms: AVR

The project was sponsored by Centre for Artificial Intelligence and Robotics (CAIR), Defence Research and Development Organization (DRDO), Government of India (GoI).

• Developed image-based visual servo controller for human following applications in C/C++.
• Developed kinematic pose-to-pose controller for differential drive mobile robot.
• Developed and optimized 7 human tracking algorithms for real-time (30fps) performance.
• Developed the interface for a sensor ring of 12 ultrasound range finders in Embedded C.
• Integrated the tracking algorithms with the controller for human following applications.

10.5 months

Implementation and Validation of Vision-based Ground Target Geo-Localization for Miniature Aerial System (Masters' project work)

Technologies: MATLAB, C#, Arduino, VMWare Workstation Player
Development Platform: Windows
Target Platforms: ArduPilotMega

The project work presented a computer vision based algorithm for accurate geo-localization of a ground target from an aerial image captured by the Miniature Aerial System (MAS).

• The user identifies and selects the ground target in the image taken by the camera on board Miniature Aerial Vehicle (MAV).
• A computer vision based algorithm is developed in C++ for accurate geo-localization of a ground target from the aerial image using: MAV pose, Gimbal pose and Camera parameters.
• A method for generating synthetic aerial image for any given pose configuration of the MAV, the Gimbal and the Camera is developed.
• Implemented on MATLAB and validated with a custom build of FlightGear Flight Simulator.

7.5 months

PhotoScenery for Realistic Scene Generation and Visualization in FlightGear (Masters' mini project)

Technologies: OpenSceneGraph, Visual Studio, Bash, Python, CMake, Git, C++
Platform: Windows, Linux

The project involved generation of photo realistic scenery and visualization of a landscape in the FlightGear Flight Simulator.

• The software runs on Windows as well as Linux.
• Built and installed FlightGear Flight Simulator from source using CMake.
• Derived a methodology for the generation of PhotoScenery and integrated with FlightGear.
• Performed Hardware-In-Loop Simulation (HILS) for Miniature Aerial System (MAS) control algorithm.

2 months

Autonomous Mobile Robot Control, Localization and Path Planning (Bachelors' project work)

Technologies: MATLAB, Embedded C
Development Platform: Windows
Target Platform: AVR

• Developed a 2D framework in MATLAB for simulating a differential drive mobile robot.
• The autonomous robot must navigate to any desired goal location in a known static indoor environment by taking an optimal and feasible path.
• Ultrasonic range finders perceive the environment and the robot localizes using extended Kalman filter (EKF).
• An intelligent path planning algorithm computes the path to be traversed.
• The robot motion control is achieved by using a kinematics based controller.

16 months

Soft-starter: Automatic star-delta starter using microcontroller (Diploma project work)

Platform: 8051

• The starter is necessary for starting a three phase induction motor.
• The project work involved development of an electronic starter used for starting a 230V 50A induction motor based on Atmel AT89S51 microcontroller.
• The motor is powered on in the start configuration and a timer is used to switch the motor configuration from star to delta after an adjustable time delay.
• A single phase prevention mechanism is also implemented to protect the motor in case of faults.

4 months

Uraga

Technologies: Rust
Platforms: Windows, Linux, macOS
An intuitive modern programming language in its early stages that aims to be both interpreted and compiled.

Work in progress

reSTful

Technologies: Rust
Platforms: Windows, Linux, macOS
An intuitive new markup language in its very early stages.

Work in progress

translitera

Technologies: Python, JSON
A python package to phonetically transliterate text from Kannaḍa script to English / Latin characters.

PyPI page | GitHub link

1 week

SerialTerminal

Technologies: Python, PyQt, YAML
A simple Serial Terminal application written in PyQt.

GitHub link

1 week

Synthetic Aerial Image Generation for Miniature Aerial System

Srikanth A, L P Prathyusha, VPS Naidu, L Krishnamurthy

IEEE ITACT, AIT, Beṅgaḷūru. [link 1] [link 2]

Dec 2015

MAS Simulator: A Laboratory Set Up

Indhu B, Srikanth A, N Sivakumaran, VPS Naidu

CCIP, JSSATE, NOIDA. [link 1] [link 2]

Mar 2015

Photoscenery for Realistic Scene Generation and Visualization in FlightGear: A Tutorial

Srikanth A, Indhu B, L Krishnamurthy, VPS Naidu

ICETES, MACE, Kēraḷa.

IJAREEIE, Vol. 3, Special Issue 5, p. 577-582. [link 1] [link 2]

Dec 2014

Robotics Research at NMIT

Jharna Majumdar, Sunil Kumar H N, Praveen Kumar Jain R, Venkatesh G M, Srikanth A, Sandeep Kumar Malu

ITC, Beṅgaḷūru.

Jul 2013

Development, Implementation and Optimization of Real Time Target Tracking Algorithms on BeagleBoard-xM

Srikanth A

[link 1] [link 2]

2012 — 2013

Vision based Interactive Robotic Exhibits for Museums

Jharna Majumdar, Ramesh Babu, Sunil Kumar H S, Manjunath H N, Praveen K Jain, Venkatesh G M, Srikanth A, Gurinder S Gill

IEEE Exhibits 2012, Braj Mohan Birla Science Centre, Haidarābād. [link 1] [link 2]

Dec 2012