Hi, my name is

Ajinkya Nagarkar.

I build things for the web.

Check out my work!

About Me

I am a Computer Science graduate student at USC with a strong background in full-stack development, IoT, and data analytics. I enjoy building scalable systems and solving complex problems with code.

Here are a few technologies I’ve been working with recently:

Programming Languages

  • Python
  • JavaScript
  • TypeScript
  • C++

Frameworks & Libraries

  • React
  • Angular
  • Node.js

Databases

  • SQL
  • Firebase

Tools & Platforms

  • Git
  • Linux
  • Docker

University of Southern California

Master of Science in Computer Science

Aug 2025 - Present

Dr. Vishwanath Karad MIT World Peace University

Bachelor of Technology (Computer Science and Engineering)

July 2019 - May 2023

Where I've Worked

Analyst @ Capgemini Technology Services India

Dec 2024 - July 2025

  • Built a Python-based real-time data ingestion service to process high-volume event data for internal analytics workflows.
  • Developed Angular-based dashboards backed by REST APIs to visualize operational metrics and trends for internal business users.
  • Implemented feature engineering and baseline machine learning models using scikit-learn to support downstream analytics and reporting.

Some Things I've Built

H

Honeypot System using ChatGPT

Published paper: 'Engaging Attackers with a Highly Interactive Honeypot System Using ChatGPT'. Explored using AI to create dynamic decoys.
  • Cybersecurity
  • IoT
  • IEEE Publication
C

Crypto Wallet for Farmers

Indian Patent Office registered innovation. A simplified crypto wallet interface designed specifically for agricultural use cases in emerging markets.
  • Blockchain
  • Patent

Other Noteworthy Projects

Internship Management Portal

Built a full-stack web application using React and Python to manage university internship data and workflows. Designed backend APIs to handle student submissions, faculty assignments, and approval flows, reducing manual coordination. Implemented role-based access for students and faculty, enabling streamlined tracking of internship status.
  • React
  • Python
  • REST APIs
  • SQL

Solar Power Plant Maintenance Prediction

Built a data preprocessing and evaluation pipeline in Python to analyze historical sensor and environmental data from solar plants. Trained and compared baseline machine learning models to assess maintenance prediction feasibility. Analyzed feature importance to identify environmental factors impacting system performance.
  • Python
  • Random Forest
  • LGBM
  • Scikit-learn

Portfolio

My Personal Portfolio

    Geospatial Analytics Pipeline

    Geospatial data pipeline demonstrating spatial analysis, geometry generation, and interactive visualization using PostGIS, KML, OpenLayers, and ArcGIS.

      AI Generated Leaflet Mapper

      AI-assisted development of a Leaflet-based web mapping app using DYAD and a local LLM via Ollama.

        AI Multimodal Map Annotator

        Prompt-driven multimodal mapping experiment using Google AI Studio to annotate map images from coordinate inputs.

          Ajinkya Nagarkar

          No description provided.

            Tic Tac Toe

            No description provided.

              Internship Management Portal

              No description provided.

                Natural Language SQL Pipeline

                Text-to-SQL Analytics Engine using Kimi K2 & DuckDB

                  Local LLM Schema Architect

                  Automated ER Diagram generation using local LLMs (Ollama) and Streamlit.

                    Get In Touch

                    I am currently looking for Software Engineering Internship opportunities starting May 2026.

                    Whether you have a question or just want to say hi, my inbox is always open!

                    Say Hello
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