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Hi, I'm Srilekha Yeddula. I am proficient in Python, JavaScript, SQL, and have hands-on experience with modern frameworks like React.js, Node.js, and Django. I have also worked extensively with cloud platforms such as AWS and have a solid background in RDBMS and front-end development. I enjoy leading and contributing to projects across academic, research, and internship settings. Recently, I built emotion recognition models using NLP and deep learning, which has honed my skills in AI and machine learning. I'm passionate about combining technology and innovation to solve real-world problems.…Hi, I'm Srilekha Yeddula. I am proficient in Python, JavaScript, SQL, and have hands-on experience with modern frameworks like React.js, Node.js, and Django. I have also worked extensively with cloud platforms such as AWS and have a solid background in RDBMS and front-end development. I enjoy leading and contributing to projects across academic, research, and internship settings. Recently, I built emotion recognition models using NLP and deep learning, which has honed my skills in AI and machine learning. I'm passionate about combining technology and innovation to solve real-world problems.

Srilekha Yeddula

Web Developer, Developer, Cloud Developer, +2

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Hi, I'm Srilekha Yeddula. I am proficient in Python, JavaScript, SQL, and have hands-on experience with modern frameworks like React.js, Node.js, and Django. I have also worked extensively with cloud platforms such as AWS and have a solid background in RDBMS and front-end development. I enjoy leading and contributing to projects across academic, research, and internship settings. Recently, I built emotion recognition models using NLP and deep learning, which has honed my skills in AI and machine learning. I'm passionate about combining technology and innovation to solve real-world problems.…Hi, I'm Srilekha Yeddula. I am proficient in Python, JavaScript, SQL, and have hands-on experience with modern frameworks like React.js, Node.js, and Django. I have also worked extensively with cloud platforms such as AWS and have a solid background in RDBMS and front-end development. I enjoy leading and contributing to projects across academic, research, and internship settings. Recently, I built emotion recognition models using NLP and deep learning, which has honed my skills in AI and machine learning. I'm passionate about combining technology and innovation to solve real-world problems.

Available to hire

Hi, I’m Srilekha Yeddula. I am proficient in Python, JavaScript, SQL, and have hands-on experience with modern frameworks like React.js, Node.js, and Django. I have also worked extensively with cloud platforms such as AWS and have a solid background in RDBMS and front-end development.

I enjoy leading and contributing to projects across academic, research, and internship settings. Recently, I built emotion recognition models using NLP and deep learning, which has honed my skills in AI and machine learning. I’m passionate about combining technology and innovation to solve real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Research Intern – Web Development and Instrument Automation at Crest Lab, Chang Gung University

August 1, 2022 - January 31, 2023

Designed and developed a dynamic website for CReST Lab using React.js, HTML, and JavaScript to improve user engagement and operational workflows. Built a backend system with PostgreSQL for secure and efficient data management, handling research updates and user credentials. Implemented sophisticated data segregation techniques enhancing analytics and reporting workflows. Also contributed to instrumentation automation using DAQ and LabVIEW.

Intern – Embedded Systems Developer at Inmovidu Tech

October 1, 2020 - September 30, 2020

Developed an IoT system using Arduino microcontrollers and sensors to gather ambient data and vehicle telemetry for a self-driving car prototype. Programmed sensors in C/C++ and simulated in virtual Arduino environment. Preprocessed data using Python for machine learning-based obstacle avoidance. Created a cloud app interface for remote vehicle management via ThingSpeak API. Conducted virtual testing focusing on real-time feedback, sensor fusion, and low-latency processing supporting smart mobility and Industry 4.0 objectives.