Photo of Karan Pandita

hello I'm Karan : )

Computer Science graduate from Mumbai, India

Passionate about AI/ML, full-stack development, and quantitative analysis.

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  • K

    KPMG - Digital Lighthouse

    Analyst Intern

    • Fine-tuned LLMs for a consulting chatbot, curating expert data to cut consultation time by 40%
    • Contributed to business development by demonstrating the ability of the chatbot to validate project feasibility through relevant client data
    • Tools: Python, LLama2, FlanT5, HuggingFace
  • K

    KPIT

    Research Intern

    • Researched Post-Quantum Cryptographic Algorithms for Automotive Software, focusing on safeguarding ECUs from cryptanalytic attacks
    • Led the development of a mock system showcasing the practical application of researched algorithms, earning a month-long extension to work on further deployment
    • Tools: Python, C, Embedded Systems, Hardware Security Modules (HSMs)

Featured Projects

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Financial Markets Suite

Developed integrated financial tools: a Stock Exchange with order matching, Market Data Simulator with mathematical models, Strategy Backtester with performance analytics, and an Options Pricer.

Chart.js
Django
FastAPI
NumPy
Pandas
PostgreSQL
Python
React
Redis
Stock Exchange
Market Data Sim
Backtester
Options Pricer
Main Repo

Raycaster Game Engine

Developed a raycaster engine inspired by Wolfenstein 3D, implementing movement, POV, and lighting.

C++
CMake
ImGui
OpenGL
SDL
Source

AI Assisted Portfolio Manager

Built a no-code stock management tool with real-time AI-driven market insights using Google Cloud.

AI/ML APIs
Flutter Flow
Google Cloud Console
Demo

Movie Streaming Platform

Developed a scalable microservices platform for video catalog management, authentication, and payments.

Docker
Java
Jenkins
Kubernetes
Spring Boot

Publications

  • Smart Battery Management Protocol for Wireless Stereo Pairs

    International Conference on Wireless Communication and Big Data (CWCBD) (Tokyo, Japan) - Apr 2024

    Designed power optimization techniques for wireless headphones to mitigate uneven energy consumption. *Paper accepted*

  • Transcription of Audio and Contextual Summarization using NLP

    International Conference on Information Management and Machine Intelligence (Chennai, TN, India) - Dec 2023

    Developed an NLP speech-to-text system, achieving 60% storage efficiency with contextual summarization.

    View Publication

GitHub Activity