B.Tech CSE (Specialization in AI/ML) & Software Developer
Passionate about Artificial Intelligence, Machine Learning, and crafting intelligent web applications. Experienced in developing scalable backend systems, database management systems (DBMS), and predictive AI workflows.
I am a Computer Science & Engineering undergraduate specializing in Artificial Intelligence and Machine Learning (AI/ML). My core expertise covers Generative AI (Ollama, LLMs, Llama 3.2), Python & Flask architectures, Database Management Systems (DBMS), and modern full-stack development.
With high proficiency in DBMS (95%) and algorithmic problem-solving, I love developing intelligent applications that automate real-world processes, optimize data workflows, and deliver smooth user experiences.
Key technologies, frameworks, and tools in my current workflow
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An IEEE-documented IoT smart plant monitoring & automated irrigation system built with Arduino Uno, DHT11, YL-69 soil moisture sensor, LDR, and HC-05 Bluetooth. Features automated pump watering and a custom mobile app with 35 plant emotional expressions.
AI-powered Next Sentence Prediction web application built using Python, Flask, Ollama, and Llama 3.2. Provides intelligent text completion and contextual continuation with low-latency local inference.
View on GitHub →Automated campus Wi-Fi credential autofill and network authentication utility built to streamline captive portal logins with zero manual friction.
View on GitHub →Verified certifications, professional courses, and academic achievements
Specialized outreach programme on Artificial Intelligence and Machine Learning techniques for geospatial data analytics, remote sensing, satellite data, and GIS applications.
Explore Programme
Foundational certification in Artificial Intelligence concepts, intelligent agent design, search algorithms, neural networks, computer vision, and NLP applications.
Verify Credential
In-depth study of core machine learning algorithms, supervised and unsupervised learning, model training, evaluation metrics, regression, and classification techniques.
Verify Credential
40-hour comprehensive curriculum in Object-Oriented Programming (OOP) in C++, dynamic memory allocation, pointers, operator overloading, templates, and data structures.
Verify CredentialInterested in my full background, education, and career experience? View my CV online or download a copy.
Have a project idea, job opportunity, or just want to connect?
I'm always open to discussing new opportunities, creative projects, or technical collaborations. Feel free to reach out directly through the contact details or via the form.