About me

Hello there, I'm Tulasi!

I'm currently navigating the exciting world of Mechatronics, Robotics, and Automation Engineering at Arizona State University. My passion for technology runs deep, particularly in the fields of Mechatronics, Embedded Systems, AI/ML, and edge computing. With a foundation in Electronics and Communication Engineering, I thrive on merging cutting-edge technology with practical expertise to bring innovative ideas to life in the tech sphere.

When I'm not immersed in the world of technology, I'm an avid explorer. Whether I'm engrossed in the latest anime series, shooting hoops, or embarking on treks through nature's trails, there's always an adventure waiting to unfold. I have a fondness for indie music and a knack for whipping up delicious Indian cuisine. Spending quality time with friends and family encompasses everything from cozy café conversations to lively board game sessions. And when it's time to unwind, nothing beats the thrill of traveling to new destinations and soaking in breathtaking views.

In all aspects of life, my philosophy is to keep things simple and authentic, embracing life's journey with a stoic yet open heart.

What i'm doing

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    Mechatronics and Robotics

    Specializing in smart automation and advanced sensor technology, while streamlining mechatronic integration for robotic systems.

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    Embedded AI and Machine Learning

    Embedding compact, powerful AI and ML algorithms to drive innovation in real-time on edge devices.

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    AIOT

    Fusing AI with IoT to craft intelligent, interconnected devices that redefine interaction and data utility.

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    Innovative Technology Solutions

    Pioneering advanced solutions in technology that blend creativity with practicality for groundbreaking advancements.

Resume

Education

  1. Arizona State University - Ira. A Fulton School of Engineering

    2022 — 2024

    Masters in Science, Mechatronics, Robotics & Automation Engineering

  2. Osmania University

    2015 — 2019

    Bachelors in Electronics and Communication Engineering

Experience

  1. Robotics Intern @ HC Robotics

    Tempe, AZ, USA Jun 2023 - Aug 2023

    In this role, I focused on enhancing drone capabilities through advanced AI techniques. I developed object recognition models with OpenCV, optimized CNN algorithms, and improved tracking algorithms for drones, contributing to significant enhancements in accuracy, reaction time, and computational speed.

    • Developed object recognition models using OpenCV for drones, enhancing tracking accuracy by 30% and reaction time by 25%.
    • Implemented pixel tracking algorithms for drone surveillance systems, improving precision in dynamic environments by 20%.
    • Optimized CNN algorithms on Ambarella Z3, reducing memory usage by 25% through efficient graph node utilization.
    • Advanced tracking algorithm efficiency on NVIDIA Jetson Nano with quantization and Huffman coding, achieving a 15% increase in computational speed.
    • Assisted in the design of PID control algorithms for 2-Axis gimbal systems, improving reaction speed and system stability for tracking applications by 20%.
    • Explored Deep Deterministic Policy Gradients (DDPG) for velocity control in gimbal systems, aiming to enhance tracking accuracy and responsiveness.
    • Contributed to the integration of AI algorithms into real-time embedded systems, leading to a 10% overall increase in system performance and efficiency.

  2. Hardware and Firmware Engineering Intern @ Nutek Technologies Pvt Ltd

    Bengaluru, KA, IND Apr 2021 - Dec 2021

    My work in this internship centered on improving battery technology and power management. I engineered firmware for battery protection circuits, developed algorithms for battery life management, and contributed to fast-charging technology research, leading to more efficient power usage and longer battery life.

    • Engineered firmware for a novel battery protection circuit, achieving 15% more efficient power management.
    • Contributed to R&D in fast charging technology, integrating it into existing hardware with 10% faster charging.
    • Managed data analysis, improving data organization and modeling efficiency by 20%.
    • Developed predictive algorithms for battery lifecycle management, enhancing longevity by 25%.
    • Implemented thermal management solutions in battery systems, reducing overheating incidents by 30%.
    • Collaborated on the creation of energy-efficient power supply designs, resulting in a 20% reduction in energy consumption.
    • Played a key role in the development of an adaptive charging algorithm, which increased battery lifespan by 18%.

  3. Hardware Engineering Intern @ Aksharlogic Systems Pvt Ltd

    Hyderabad, TS, IND Jan 2020 - Jan 2021

    During this internship, I specialized in developing and optimizing embedded firmware for smart sockets and IoT devices. My contributions included implementing IoT communication protocols, designing sensor networks, and ensuring the reliability of IoT systems in diverse environments.

    • Developed and optimized embedded firmware for smart sockets, enhancing functionality and user experience.
    • Implemented IoT communication protocols, such as MQTT and CoAP, for efficient device-to-device communication.
    • Designed and integrated sensor networks for real-time data collection and analysis in IoT ecosystems.
    • Engineered power-efficient solutions for IoT devices, significantly extending battery life and device uptime.
    • Conducted rigorous testing and validation of IoT systems to ensure reliability and robustness in diverse environments.
    • Maintained server applications, ensuring dynamic database performance and integrity.
    • Designed and managed product websites, integrating IoT devices for system functionality and remote monitoring.

  4. Electronics Engineering Intern @ E-TRON Elite Solutions Pvt Ltd

    Hyderabad, TS, IND May 2018 - August 2018

    In this position, I was involved in circuit design for advanced security systems with a focus on integrating AI. My work included developing firmware for real-time data transmission and enhancing system programs to facilitate AI applications, particularly in fire detectors.

    • Participated in circuit design for advanced security systems, integrating AI principles in fire detectors.
    • Developed firmware focusing on real-time data transmission, paving the way for AI-driven sensor integration.
    • Engaged in system program enhancements, setting the stage for subsequent AI applications.

  5. AI Intern @ All India Centre For robotics and Automation

    Remote, TS, IND May 2018 — Aug 2018

    My role here was centered around transforming unstructured data into actionable insights using AI. I worked on auto-tagging of images, selected datasets for AI model training, and utilized MATLAB for image and signal processing, laying the foundation for future AI applications in these fields.

    • Transformed unstructured data into actionable insights, using auto-tagging of images as a precursor to AI-driven image recognition.
    • Selected and processed datasets for AI model training and data representation methodologies.
    • Worked on MATLAB for image and signal processing, laying the groundwork for AI applications in these fields.

Skills

Programming:

Python
C/C++
Embedded C
PHP
JavaScript
MATLAB/Simulink
Machine Vision
Perception

Machine Learning & AI:

TensorFlow
TFLite
PyTorch
ONNX
OpenCV
scikit-learn

Data Science Tools:

Pandas
NumPy
Matplotlib
SQL
MongoDB

Hardware for AI/ML:

NVIDIA Jetson Boards
GPUs
Coral TPU
Raspberry Pi and Arduino boards
TTGO
Custom Electronics
Electrical/Electronic Control Systems
Sensors

Software & Platforms:

CUDA
AWS
Docker
Git
Cadence
Rest APIs
ROS

Linux Tools:

Bash Scripting
Embedded Linux
Servers

Protocols & Networking:

HTTPS
REST APIs
MQTT
WebSockets
SPI
I2C
UART
CAN
Bluetooth
Wi-Fi
Zigbee

Portfolio

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The Selected Project is still Ongoing and hence does not have a completed git repo yet, do you still wish to see it?

Contact

Current Location (Willing to Relocate)

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