Passionate about AI, automation, and full-stack development. Currently pursuing M.S. in Computer Engineering at San Diego State University.
Currently pursuing my M.S. in Computer Engineering at San Diego State University, where my graduate work centers on artificial intelligence and autonomous systems. I've earned an A in AI for Unmanned Systems, Data Mining & Analysis, and Reinforcement Learning — coursework that directly fuels the applied-AI and automation work I do today, and keeps me at a 3.5/4 GPA.
Completed my B.S. in Computer Engineering at the University of Mumbai, graduating with a 3.7/4 GPA. These formative years built my core computer-science foundation — with perfect 10/10 scores in Java OOP, Python, Data Mining, and Data Structures, plus 9/10 in Operating Systems — and gave me my first experience leading a machine-learning team.
6 Courses: Introduction to Big Data, Big Data Modeling & Management, Big Data Integration & Processing, ML with Big Data, Graph Analytics, Capstone Project
5 Courses: Neural Networks, Hyperparameter Tuning & Optimization, Structuring ML Projects, CNNs, Sequence Models
4 Courses: What is Data Science, Tools for Data Science, Data Science Methodology, Databases & SQL with Python
Getting Started with AWS Machine Learning - Cloud-based ML services and deployment
Data Science fundamentals, R programming, version control, and reproducible research
A production AI avatar that answers questions about my background and work — built with Groq function calling, voice input/output, and deployed on Cloudflare Pages.
An AI spreadsheet agent evaluated across 10 real tasks — a test-evidence report with before/after screenshots, methodology, and verified results for each operation.
An end-to-end AI hiring flow — resume screening, interview simulation, voice Q&A, and candidate scorecards, built with Next.js on Cloudflare Workers.
An autonomous paper-trading simulation of independent AI traders with live portfolios, execution logs, and MCP traces — built with the OpenAI Agents SDK and MCP servers on a Gradio dashboard.
Developed quadrotor flight control system using PX4 SITL, ROS Noetic, Gazebo, and MAVSDK-Python for autonomous flight operations.
A full-featured Flask blogging platform with block-based rich-text authoring, Cloudinary media uploads, Google OAuth, post scheduling, and an admin dashboard.
Interactive handwritten digit recognition website with real-time feedback, ideal for banking and postal services.
Voice recognition website enhancing accessibility and productivity through hands-free interaction.
Interactive 3D world viewer for visualizing climate data including vegetation, temperature, pollution, and precipitation.
Exploring automated machine learning techniques and their applications in business decision-making.
Leveraging AI for marketing analytics, customer segmentation, and predictive consumer behavior modeling.
Exploring generative AI techniques for creative applications including content generation and style transfer.
Building emotion recognition systems using machine learning to detect and analyze human emotions.
Applying AI to healthcare challenges including disease prediction and medical imaging analysis.
I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology and innovation.