hi there👋, I'm
Siddhant Kaushik
20, he/him
Creative Technologist — building resilient AI and Web3 systems with a product-first mindset.
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.
Participant SRM, Chennai
at, OSSOME HACKATHON
SEP 2024
- GitHub Club SRM hackathon.
- Learned to tighten storytelling and presentation skills for competitive rounds.
- Hackathon
Winner Remote
at, ETHSF - DEVFOLIO
JAN-FEB 2025
- Built ChainSentinel — mempool anomaly detection system.
- Won 0.02 ETH bounty for wallet safety checks and smart transaction flagging.
- Web3
- FastAPI
- Solidity
Top 10 Finalist Remote
at, HACKVERSE
MAR 2025
- Advanced to Top 10 teams in competitive hackathon.
- Shipped fast but missed final deadline — improved scoping and time management since.
- Full Stack
Participant Hack2Skill
MAY 2025
- Iterated on climate and environmental criteria.
- Focused on signal over noise for future submissions; similar projects won.
- AI/ML
- Sustainability
Top 250 of 800+ India
SEP 2025
- Selected in Top 250 teams (out of 800+) in internal round.
- Refining submission for nationals; aiming for finals push next year.
- Innovation
- Systems Design
Open Source Contributor Remote
OCT 2025
- Contributed to multiple open-source project repos.
- Kept commits small and reviewable; focused on maintainability.
- Git
- Open Source
- Collaboration
projects.
ATITHI_RAKSHAK
- Tourist safety app enabling contact even in no-network zones via mesh-style relays.
- 99.9% message delivery in dead zones using LoRa protocol and offline relay architecture.
- Full Stack
- IoT
- Python
- C / C++
- Offline Comms
TRAFFIC_SIMULATOR
- Route visualization and traffic simulation tuned for dense Indian road networks.
- Implemented pathfinding algorithms and real-time data visualization for urban traffic prediction.
- Python
- Algorithms
- Pathfinding
- Data Viz
ECO_SENTRY
- 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 blogs.
coming soon
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
Siddhant Kaushik · 2025