Duggireddy Hitesh Pranav Reddy

linkedin.com/in/hitesh-pranav-reddy-379371264|+91 8296465473|hiteshpranavreddy.d@gmail.com|github.com/HiteshPranav267

Education

PES University, BengaluruBengaluru, India
B.Tech — Electronics & Communication Engineering2023 – 2027
GPA: 8.49
Sri Chaitanya College of EducationBengaluru, India
High School Secondary Education2011 – 2023
GPA: Completed my schooling with 83.2% in Class 10 and 91.4% in Class 12 (Science). Percentage: 95%

Experience

Joy of Engineering Lab (JoEL), PES UniversityBengaluru, India
Student HeadAugust 2024 – Present
  • Contributed to the backend planning and technical coordination of HackeZee 2025, JoEL's flagship hardware hackathon.
  • Assisted in event logistics, participant support, and mentoring, ensuring a smooth experience for all attendees for multiple events
  • Mentored 6+ teams on IoT based projects, guiding them through design, implementation, and debugging processes.
Center for Information Security, Forensics and Cyber Resilience (C-ISFCR)Bengaluru, India
Research InternJune 2025 – July 2025
  • Collaborated with a team to develop a modular cybersecurity framework for automotive networks.
  • Design and implemented a full-stack intrusion detection system (IDS) using machine learning models.
  • Integrated a real-time Python-based firewall with an ensemble of models to enhance vehicular safety.
  • Created a Tkinter-based GUI for controlled CAN message injection and post-attack analytics visualization.

Research & Projects

Automotive ML-based IDS2025
Python, Machine Learning, Automotive Security, CAN Bus
  • Developed an intelligent intrusion detection system leveraging machine learning algorithms to monitor and detect anomalous behavior in automotive CAN bus communications.
  • Integrated real-time Python-based firewall with ensemble models to enhance vehicular safety.
Motorsport Telemetry Dashboard - Ignition 1.02025
IMU, GPS, Sensor Fusion, Embedded Systems, IoT
  • Built a real-time telemetry system integrating IMU acceleration data, GPS-based vehicle tracking, and speed estimation using sensor fusion.
  • Recognized as the 2nd lightest hardware system at Ignition 1.0 (sponsored by Ather Energy) and secured 5th place overall.
  • Implemented contextual interpretation of driving behavior through acceleration variance analysis.
Joy of Engineering Lab – Official Website2025
Next.js, TypeScript, Tailwind CSS, Web Development, UI/UX
  • Designed and developed the official digital presence for JoEL to showcase flagship events like HackeZee and Roadshow.
  • Optimized for performance and accessibility, ensuring a structured platform for student projects and initiatives.
Life OS – Official Website2026
Next.js, TypeScript, Tailwind CSS, Web Development, UI/UX
  • A minimalist utility to capture thoughts, track finances, build habits, and plan your days.
  • Developed a full-stack personal management system with private synchronization and habit tracking.
PESU ResearchMatch2026
Python, Machine Learning, NLP, Flask, React
  • Developed a Hybrid Retrieval pipeline combining BGE-Large dense embeddings with BM25 keyword matching for high-precision faculty discovery.
  • Integrated local LLM (Qwen-2.5-0.5B) to provide personalized explanations for each professor-student match.
  • Implemented client-side PDF text extraction for resume analysis and seamless interest-based semantic search.
  • Engineered a full-stack system using Flask and React, processing 1024-dimensional semantic vectors locally without external API dependencies.

Skills

Languages: Python, C / C++, Verilog / VHDL
Hardware: FPGA, Arduino/RPi
ML & Security: Scikit-learn, PyTorch, IDS / Anomaly Detection, CAN Bus Security
Tools: Git, Vivado, Linux