About Me
Results-driven AI and Software Developer with hands-on experience in Python, REST API development, SQL database management, and Excel-based data analysis. Skilled in building Machine Learning models, data processing pipe…
Results-driven AI and Software Developer with hands-on experience in Python, REST API development, SQL database management, and Excel-based data analysis. Skilled in building Machine Learning models, data processing pipelines, and Generative AI applications, including AI chatbots and text-to-image generation systems. Proficient in integrating APIs, managing structured data, and developing scalable AI-powered solutions. Strong problem-solving abilities with a passion for leveraging artificial intelligence to create innovative and impactful applications.
Experience
AI/Software Development Intern
<p>Worked on AI-powered edge computing solutions utilizing NVIDIA devices for deploying and optimizing Large Language Models (LLMs) and Small Language Models (SLMs).</p><p> Assisted in the development, testing, and deployment of AI models for real-time inference and intelligent automation applications.</p><p> Designed and implemented a Device Management System using Vercel, Supabase, and REST APIs to monitor, manage, and visualize device information through a centralized web dashboard.</p><p> Developed frontend and backend functionalities for secure device registration, authentication, and real-time data management.</p><p> Built data acquisition and monitoring solutions by extracting sensor data from industrial data loggers and processing telemetry data for analytics.</p><p> Integrated MQTTX-based communication workflows to enable reliable real-time data transmission between edge devices and cloud platforms.</p><p> Configured and managed IoT data pipelines for collecting, storing, and monitoring device-generated data on the Anedya IoT platform.</p><p> Implemented API integrations and database operations to support scalable device monitoring and reporting systems.</p><p> Performed data validation, troubleshooting, and system optimization to improve reliability and operational efficiency.</p><p> Collaborated with cross-functional teams to develop AI, IoT, and cloud-based solutions while following software development best practices.</p>
Intern On-Site
<p>Developed an AI-powered Text-to-Image Generation system using Python and state-of-the-art Generative AI techniques.</p><p> Implemented and fine-tuned Hugging Face Diffusion Models for generating high-quality images from natural language prompts.</p><p> Worked with Machine Learning and Deep Learning frameworks including Py Torch and Transformers to optimize model performance.</p><p> Integrated pre-trained generative models and customized inference pipelines for enhanced image generation accuracy.</p><p> Designed and developed REST APIs for seamless interaction between the frontend and AI image generation backend.</p><p> Performed data preprocessing, prompt engineering, and model evaluation to improve image quality and relevance.</p>
PROJECTS
Device Management system
<p>A Device Management System (DMS) is a software solution designed to monitor, organize, and manage electronic devices such as laptops, desktops, mobile phones, tablets, IoT devices, and other hardware assets within an organization. It helps administrators track device information, assign devices to users, monitor device health, schedule maintenance, and maintain inventory records from a centralized dashboard.</p><p>The system provides features such as device registration, asset tracking, user assignment, maintenance history, warranty management, status monitoring, and report generation. It improves operational efficiency by reducing manual record-keeping, preventing asset loss, and ensuring devices are properly maintained throughout their lifecycle.</p>