Core
Core
The languages and query layer that show up in nearly every build.
- Python
- JavaScript
- TypeScript
SQL
R
C/C++
Java
Software engineer focused on AI systems, scalable web applications, and the unreasonable amount of detail that makes an interface feel inevitable.
[ Sec. 07 ] Skills
Languages · Frameworks · Tools
A compact view of the stack behind the portfolio: language work, app frameworks, model tooling, data viz, and the infra that keeps everything reproducible.
Core
The languages and query layer that show up in nearly every build.
Frameworks
The app layer I use to move from prototypes to shipping systems.
ML / AI
Modeling, feature work, and the tooling around practical ML systems.
Charts
How I turn data and experiments into something readable at a glance.
DevOps
The supporting stack for shipping, debugging, and keeping projects reproducible.
Git[ Sec. 03 ] Timeline
Resume-backed work
Mar 2025
Security Engineering
Blockchain-audited document security with AES-256-GCM field-level encryption, SHA-256 tamper checks, and role-based selective decryption.
May 2025 — Jun 2025
Data Science · Forecasting
Stacking regressor pipeline (XGBoost + Random Forest) with R² 0.965 and strong MAE reduction over linear baseline after feature engineering and EDA.
Dec 2024 — Feb 2025
Computer Vision · CNN
CNN for 43 traffic-sign classes on GTSRB data. Deployed low-latency inference with OpenCV for real-time video streams.
Ongoing
Project demos, architecture notes, and internship-ready learnings from SWE and Data Science work.
Mar 2025
Security Engineering
Blockchain-audited document security with AES-256-GCM field-level encryption, SHA-256 tamper checks, and role-based selective decryption.
May 2025 — Jun 2025
Data Science · Forecasting
Stacking regressor pipeline (XGBoost + Random Forest) with R² 0.965 and strong MAE reduction over linear baseline after feature engineering and EDA.
Dec 2024 — Feb 2025
Computer Vision · CNN
CNN for 43 traffic-sign classes on GTSRB data. Deployed low-latency inference with OpenCV for real-time video streams.
Ongoing
Project demos, architecture notes, and internship-ready learnings from SWE and Data Science work.
[ Sec. 06 ] About
A short version, ageing slowly
Hi.
I'm Divyanshu Sharma, a developer who loves building systems around real human experiences. Most of my ideas begin with observation, whether it is getting lost in a new city, noticing gaps in healthcare accessibility, or wondering why digital experiences feel disconnected from the people using them.
I enjoy working at the intersection of AI, full stack development, interactive design, and scalable systems. From mobility platforms and healthcare concepts to immersive web experiences, I care deeply about creating technology that feels intuitive, meaningful, and human.
Beyond coding, I spend a lot of time exploring ideas, redesigning things that probably do not need redesigning, and thinking about how software can reduce friction in everyday life. I believe the best products are not just functional, they leave an impression.
Based in India. Building, learning, and experimenting one project at a time.
[ Sec. 07 ] Get in touch
Let's build something meaningful.
Based in India · Reply within 48h