Siddhant Kaushik

about me.

Hey, I’m Siddhant — I like turning rough ideas into working tools across backend, AI/ML, and smart-contract stacks. Lately focused on safety, automation, and trustworthy blockchain rails. Shipping fast with a bias for reliable systems: AI safety signals (EcoSentry), mempool anomaly checks (ChainSentinel), and resilient communication for no-network zones (Atithi Rakshak). Open to product-focused backend/ML roles and hackathons.

timeline.

• Contributor Remote

  at, GOOGLE SUMMER OF CODE

  MAY 2026 - PRESENT

  • Working on the core architecture of a decentralized blockchain protocol with Proof-of-Work consensus and state management.
  • Building secure P2P networking and transaction signing for the StabilityNexus/minichain repo.

  • Blockchain
  • P2P
  • Security

• Developer Remote

  at, SARAL AI

  MAY 2026 - PRESENT

  • Building product and engineering features for an AI-first workflow platform.
  • Shipped focused improvements around reliability, integrations, and user-facing performance.

  • AI
  • Product Engineering
  • Backend

• Research Intern IIIT Hyderabad

  at, PRECOG, IIIT HYDERABAD

  MAY 2026 - PRESENT

  • Researching core ideas and evaluation patterns for applied AI systems.
  • Working on structured experimentation and reproducible workflows for ongoing research tasks.

  • Research
  • AI Systems
  • Experimentation

projects.

• PAPERLY

  live preview

  • Helps people understand research papers and converts them into notebooks for implementation.
  • Streamlines the process of moving from academic research to practical code implementation.

  • AI/ML
  • Research
  • Notebooks

• DOCUFLOW

  live preview github

  • Converts markdown files to docx documents seamlessy.
  • Simple and efficient tool for documentation conversion workflows.

  • Markdown
  • Converter
  • Utilities

• ECO_SENTRY

  live preview github

  • Early wildfire prediction for Indian forests using satellite signals and CNN heatmaps.
  • 98% accuracy in early detection (within 15 mins) using MODIS thermal anomaly data (2015-2023).

  • Python
  • AI/ML
  • GEE
  • CNN
  • Satellite Data

technical skills.

• Languages:

  Python, C, C++, Solidity, HTML/CSS

• Web3 & Blockchain:

  Smart Contracts, Web3.py, Solidity, Mempool Analysis, Transaction Security

• AI/ML Libraries:

  Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Transformers

• Frameworks & Tools:

  FastAPI, Flask, React, Tailwind CSS, Material-UI, GSAP, Three.js

• Cloud & DevOps:

  Firebase, GCP, Vercel, GitHub, Git, Docker, Redis

• Development Tools:

  VS Code, PyCharm, Figma, Postman, Linux

• Achievements:

  • 0.02 ETH winner, ETHSF - DEVFOLIO Hackathon 2025
  • Top 10 Finalist, Hackverse 2025
  • Top 250 of 800+, Smart India Hackathon 2025
  • Open Source Contributor, GSSOC 2025