Index No. 01 · India

Building digitalproducts peopleactually enjoy.

Software engineer focused on AI systems, scalable web applications, and the unreasonable amount of detail that makes an interface feel inevitable.

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[ Sec. 07 ] Skills

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

Core

The languages and query layer that show up in nearly every build.

  • Python
  • JavaScript
  • TypeScript
  • SQL
  • R
  • C/C++
  • Java

Frameworks & Runtime

Frontend & Backend

The app layer and server runtimes I use to move from prototypes to shipping systems.

  • React
  • Next.js
  • Node.js
  • exExpress.js
  • FastAPI
  • PostgreSQL

ML / AI

AI & Data Science

Modeling, feature work, and the tooling around practical ML systems.

  • TensorFlow
  • Scikit-learn
  • Pandas
  • OpenCV
  • XGBoost
  • Gemini API
  • NumPy
  • Keras
  • PyTorch
  • Statsmodels

Charts

Visualization

How I turn data and experiments into something readable at a glance.

  • Matplotlib
  • Seaborn
  • Plotly
  • Tableau

DevOps

Tools & Infra

The supporting stack for shipping, debugging, and keeping projects reproducible.

  • Git
  • Docker
  • Linux
  • Twilio
  • AES-256
  • Jupyter Notebook
  • AWS
  • VS Code
  • MongoDB
  • MySQL

[ Sec. 03 ] Timeline

Aug 2026 — PresentCapstone R&D
AI

AI Enabled Monocular Gait Analysis

Deep Learning & Biomechanics · VIT Chennai

Clinical gait analysis pipeline using ordinary single-camera video to assess neurological conditions (Cerebral Palsy, Stroke, Myopathic, Normal). Features YOLOv8 + ByteTrack tracking, 147-D kinematic pose features, 28-D RAFT dense optical flow, and dilated Temporal Convolutional Networks (TCN) reaching 70.7% balanced accuracy under strict video-grouped cross-validation with SPARC smoothness profiling. Co-authored with Debeshi Sen, guided by Dr. Pavithra L K.

Read Blog Analysis →View in ProjectsLinkedIn
Sep 2026AIR 698
DS

Amazon ML Challenge 2026

Machine Learning · National Finalist

Secured All India Rank 698 with an overall benchmark score of 0.983906 out of thousands of top engineering teams across India in the Amazon ML Challenge 2026 with team members from VIT (Anshik Kumar Tiwari, Aryan Mahawar, Kartik Patel, Divyanshu Sharma). Built deep multi-modal tabular & predictive pipelines for high-precision estimation.

LinkedIn Profile
Jul 2026Verified Credential
AI

IBM Advanced Generative AI Certification

IBM Career Education · Cognitive Class

Earned official certification in Advanced Generative AI (CEGENAI1IN) issued by IBM Career Education Program and IBM Developer Skills Network. Validates deep capabilities in transformer architectures, prompt engineering, RAG pipelines, and LLM orchestration.

Verify Certificate ↗
Mar 2026 — Jul 2026AIR 6 · World 26
Quant

WorldQuant IQC 2026

Quant Research · National Finalist

Secured All India Rank 6 and World Rank 26 out of 150,000+ teams globally representing VIT at the WorldQuant International Quant Championship 2026 National Finals in Mumbai with Team Simpson's Paradox.

LinkedIn
May 2025 — Mar 2026Shipped
SWE

RideHub

Full-stack · SWE

Built a unified ride aggregation platform with Next.js 15, FastAPI, and PostgreSQL, combining five transport services with real-road routing, trip history, and cross-platform mobile support.

GitHub ↗Read Story
Dec 2025 — Feb 2026Open Source
CV

Weather-Based Traffic Signal Model

Computer Vision · Adaptive AI

Adaptive traffic signal control system combining real-time weather parameters with computer vision to dynamically adjust signal timings, green clearance intervals, and vehicle detection under adverse conditions (heavy rain, fog, low light).

GitHub ↗Read Case Study
Aug 2025 — Oct 2025SIH Qualifier
AI

NABHA Health

SWE + Applied AI · SIH 2025

Voice-based intake, RAG summaries with Gemini API, and appointment flow integrations for rural-first healthcare. Built for Smart India Hackathon 2025.

GitHubRead Story
May 2025 — Jun 2025
DS

Walmart Sales Prediction

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.

GitHub ↗Read Analysis
Mar 2025
Security

RBAC-DocEncryption

Security Engineering

Blockchain-audited document security with AES-256-GCM field-level encryption, SHA-256 tamper checks, and role-based selective decryption.

GitHub ↗
Ongoing
Log

Build logs & updates

LinkedIn

Project demos, architecture notes, and internship-ready learnings from SWE and Data Science work.

LinkedIn

[ Sec. 06 ] About

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

© 2026 Divyanshu Sharma · Built with intentIndex 01 · V.01 · May 2026