I am a Python Developer and AI/ML Engineer with hands-on experience in machine learning models, networking solutions, and cloud storage technologies. With a background in technical engineering and Linux administration, I…
I am a Python Developer and AI/ML Engineer with hands-on experience in machine learning models, networking solutions, and cloud storage technologies. With a background in technical engineering and Linux administration, I specialize in developing intelligent systems and troubleshooting complex infrastructures.
At Tejas Networks, I implemented predictive maintenance solutions using AI, reducing network downtime by 15%. I also automated data analysis for networking performance, resulting in a 10% increase in uptime
Currently, I am seeking a challenging role where I can leverage my expertise to drive innovation and contribute to impactful projects. I am passionate about applying my skills in Python, TensorFlow, AWS, and natural language processing (NLP) to develop cutting-edge solutions and advance the field of artificial intelligence.
"I'm actively seeking opportunities in AI, ML, and cloud technologies.
<p>Developed an AI-powered chatbot using Python, Flask, and TensorFlow.<br>
Implemented natural language processing (NLP) techniques to improve user interactions and responses.<br>
Deployed the chatbot on AWS and integrated it with a web interface.<br>
Natural language understanding for improved user interaction to 75%.<br>
Scalable deployment on AWS.<br>
Web interface integration for easy access and usability.<br>
Designed and implemented the backend using Flask.<br>
Developed NLP models using TensorFlow to enhance chatbot responses.<br>
Deployed the application on AWS, ensuring scalability and availability.<br>
Created a responsive web interface using HTML, CSS, and JavaScript.</p>
Developed an AI-powered chatbot using Python, Flask, and TensorFlow., Implemented natural language processing (NLP) techniques to improve user interactions and responses., Deployed the chatbot on AWS and integrated it with a web interface., Technologies Used: Python, Flask, TensorFlow, AWS, HTML, CSS, JavaScript
<p>Analysed system performance data and implemented data-driven solutions to improve system efficiency 60%.<br>
Leveraged extensive Linux-based debugging to optimize storage solutions and system configurations.<br>
Designed and enforced security policies to protect against cyber threats.<br>
Conducted regular security audits to ensure compliance with industry standards.<br>
Conducted performance analysis using Python and visualization tools like Power BI, improving network troubleshooting efficiency to 50%.<br>
Implemented network monitoring tools to proactively identify and address issues, resulting in improved network performance and uptime.<br>
Configuration is done using LINUX.<br>
QA in Base band unit Factory Acceptance Test (FAT).</p>
Analytics and Troubleshooting: Analysed system performance data and implemented data-driven solutions to improve system efficiency 60%., Linux & Storage Expertise: Leveraged extensive Linux-based debugging to optimize storage solutions and system configurations., Firewalls and Security: Designed and enforced security policies to protect against cyber threats, and conducted regular security audits to ensure compliance with industry standards., Data Analysis: Conducted performance analysis using Python and visualization tools like Power BI, improving network troubleshooting efficiency to 50%., Networking: Implemented network monitoring tools to proactively identify and address issues, resulting in improved network performance and uptime Debugging: Configuration is done using LINUX, Testing: QA in Base band unit Factory Acceptance Test (FAT)
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