Building intelligent systems and transforming data into insights. Passionate about AI-driven solutions that solve real-world problems.

I'm a Software Engineer with over 3 years of experience at Acuvate Software, specializing in AI-powered solutions, data engineering, and enterprise applications. My expertise spans developing intelligent chatbots, optimizing database performance, and building data-driven applications that transform raw information into actionable insights.
Currently pursuing a Master's in Information Systems at Northeastern University, I'm expanding my knowledge in data management, web design, and application engineering. I'm passionate about leveraging AI and data science to solve complex business problems and create innovative solutions.
A selection of my recent work across data engineering, analytics, and software development.

Problem: Traditional quizzes are manual, repetitive, and limited in scope, requiring hours of educator time to design.
Approach: Built an AI-powered system using LLMs for dynamic quiz generation, adaptive learning, and real-time feedback with NLP-based content processing.
Outcome: Created a scalable educational platform that generates personalized quizzes, adapts difficulty based on performance, and provides instant feedback with explanations.
Problem: Users struggle to compare tech products efficiently across multiple sources.
Approach: Developed a full-stack platform with real-time data analytics and interactive dashboards.
Outcome: Created an intuitive interface for comparing product specifications and tracking market trends.
Problem: Inefficient data management for food delivery operations and reporting.
Approach: Designed a relational database with automated procedures and real-time analytics.
Outcome: Optimized data storage and retrieval, with Power BI dashboards for business intelligence.
Problem: Manual tracking of blood inventory and donor records leading to inefficiencies.
Approach: Developed a Java application with automated workflows and notification systems.
Outcome: Streamlined blood inventory management and donor registration processes.
Problem: Slow customer service response times and inefficient data retrieval.
Approach: Built an AI chatbot with real-time web scraping for data integration.
Outcome: Reduced response time by 50% and automated real-time data retrieval for business intelligence.
Private Repository
Acuvate Software
Bengaluru, Karnataka, India
Northeastern University
Boston, MA
Grade: 3.61
Specialized in Data Management, Web Design, and Application Engineering with a focus on AI and data science applications.
CMR University
Electrical, Electronics and Communications Engineering
Grade: 3.48
Graduated with a strong foundation in electrical and electronics engineering, with additional focus on communications systems and programming.
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!