AI/ML Member @ Microsoft Innovators Club | Data Science Member @ IEEE RAS | IoT & Edge Computing Enthusiast

siddharth@jain
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OS: B.Tech CSE (Core) @ VIT Chennai
Host: First-Year Undergraduate
Kernel: IoT & Hardware Prototyping v1.0
Uptime: 24/7 (Fueled by Competitive Programming)
Shell: C, C++, Python, Java
Hardware: Arduino, ESP32, Custom Sensors
AI/ML: Edge Computing, Surveillance, Data Science
Philosophy: Bridge the gap between software and physical reality.

I'm a Computer Science undergraduate at VIT Chennai with a deep interest in both high-level software development and low-level hardware systems. I like problems that sit at the intersection of code and the physical world — from edge-computing surveillance to simulating black hole physics in Python.

My personal philosophy: solve complex problems... or at least brute-force them elegantly.

• Vellore Institute of Technology (VIT), Chennai
  • B.Tech in Computer Science Engineering (Core) (2025 – 2029)
• Schooling (ICSE/ISC)
  • Grade 12 — 95.75%
  • Grade 10 — 97%
  • Academic Excellence Award & School Topper

• Independent Research — Present
  • Developing a computational simulation modeling black hole information preservation.
  • Implemented Python algorithms to simulate Quantum Tunneling effects and test Bell's Inequality.
• Microsoft Innovators Club (MIC), VIT Chennai — AI/ML Member (2025 – Present)
  • Participating in workshops on AI/ML; gaining hands-on experience training algorithms transferable to physics simulations.
• IEEE Robotics and Automation Society (RAS), VIT Chennai — Data Science Member (2025 – Present)
  • Collaborating with the technical team to explore data-driven solutions for robotics, applying Python and statistical methods to scientific data.

Languages:

AI & Data Science:

Backend & Real-Time:

Hardware & Tools:

Core Areas: Data Structures & Algorithms · Competitive Programming · Internet of Things (IoT) · Edge Computing · Object-Oriented Programming

siddharth@jain:~ $ tree --level 2 ~/projects/
~/projects
├── sahayak-ai [FastAPI | RAG Pipeline | WebRTC]
│   └── Real-time AI assistant with retrieval-augmented generation and live voice/video streaming
├── edge-ai-surveillance [Python | Computer Vision | IoT]
│   └── Edge-computing-based AI surveillance for restricted zone monitoring
├── quantum-blackhole-sim [Python | Physics]
│   └── Quantum simulation of black hole information dynamics using spin simulations
├── smart-env-monitor [ESP32 | DHT22 | MQ-135 | IoT]
│   └── Real-time air quality, temperature & humidity telemetry with cloud dashboards
├── pokemon-showdown-ai [Python | OOP]
│   └── Predictive battle simulator, 92% accuracy on optimal counter-moves
├── reverse-akinator [Python]
│   └── Logic-based guessing game engine
└── hackathon-prototypes [Python | TensorFlow | NLP]
    ├── Multilingual Translator — real-time NLP text processing
    └── Insulin Tracker — backend data management

Detailed Breakdown:

• Sahayak AI
  • Built an advanced AI assistant system integrating a FastAPI backend with a Retrieval-Augmented Generation (RAG) pipeline for context-aware responses.
  • Implemented WebRTC for real-time, low-latency voice/video interaction with the assistant.
• Edge AI Surveillance
  • Proposed and developed a system focusing on edge-computing-based AI surveillance to monitor restricted zones.
• Quantum Black Hole Simulation
  • Developed a physics-centric computing project simulating black hole information dynamics using spin simulations.
  • Implemented Quantum Tunneling simulations and tests of Bell's Inequality in Python.
• Smart Environmental Monitoring System (IoT)
  • Engineered a scalable, low-cost IoT architecture using ESP32 microcontrollers, DHT22, and MQ-135 sensors for real-time telemetry.
  • Integrated cloud dashboards (Blynk/Thingspeak) for remote visualization and automated threshold alerting.
• Pokémon Showdown AI Simulator
  • Engineered an interactive battle simulation using OOP to model game states, attributes, and turn-based mechanics.
  • Integrated a predictive algorithm achieving 92% accuracy in predicting optimal counter-moves and state transitions.
• Reverse Akinator Game
  • Engineered a logic-based application applying CS fundamentals to process user inputs efficiently.
• Hackathon Prototypes
  • Multilingual Translator using TensorFlow and NLP pipelines for real-time text processing.
  • Insulin Tracker with robust backend data management and algorithmic efficiency.

"If it can be brute-forced elegantly, it's already half-solved."

• Curiosity First: From black holes to backend systems, I follow the interesting problem.
• Hardware Meets Software: I like closing the loop between code and the physical world.
• Consistency: Practicing DSA daily on LeetCode to keep the fundamentals sharp.
• Growth: Debate, MUN, and public speaking taught me to think on my feet — same instinct I bring to debugging.

Strength Training & Fitness · Basketball · Audiophile Tech · Hardware Hacking · Debate & MUN · Dramatics

siddharth@jain:~ $ ping -c 1 contact.siddharth.jain

• 📧 Email: sidjain10116@gmail.com
• 💼 LinkedIn: Siddharth Jain
• 🧩 LeetCode: sidjain10

Got a wild idea, a challenging problem, or want to talk AI, IoT, or physics? Feel free to reach out — I'm probably already thinking about something similar!