Aditya Prabhudessai
Bridging the gap between
Data Science and Interactive Web Experiences.
About
A final-year B.Tech student at Manipal University Jaipur, interested in solving real problems through Data Analytics, Machine Learning, and Full-Stack Development.
I value clarity, thoughtful design, and solutions that scale beyond demos.
Technical Skills
Python
TypeScript
JavaScript
Java
C++
PyTorch
TensorFlow
LangChain
Scikit-learn
BERT
📊 SHAP
🍋 LIME
React
Next.js
Tailwind CSS
Framer Motion
React Native
FastAPI
ASP.NET Core
Node.js
🔌 REST APIs
JWT
Pandas
NumPy
Matplotlib
Power BI
Tableau
PostgreSQL
MongoDB
MySQL
ChromaDB
🔍 FAISS
Docker
AWS
Azure
GCP
GitHub Actions
Experience
- Shipped Jot It to production — an AI-powered note-taking platform that captures handwritten pages, parses them into searchable text via Azure Computer Vision OCR, and organises them alongside typed notes in one library.
- Architected a three-service system: a React Native app, an ASP.NET Core 8 API for sync and note management, and a FastAPI microservice for OCR — backed by PostgreSQL with structured, searchable notes.
- Secured the platform with JWT authentication and built full CRUD note management with paginated endpoints across the API surface.
- Containerised services with Docker for local and remote deployment, taking the workflow from prototype to a live, production-deployed product.
Smart Mieten Tech Pvt Ltd- Built and evaluated forecasting models on 1M+ time-series records, improving prediction accuracy by 15%.
- Performed data preprocessing, anomaly detection, and missing-value handling using resampling techniques.
- Engineered time-based and statistical features to enhance model stability.
- Optimized ML pipelines to reduce training and experimentation time by 20%.
- Developed end-to-end ML pipelines with cross-validation, improving robustness by 12%.
- Assisted in building LLM monitoring dashboards to track drift, latency, and quality.
- Conducted error analysis and documented findings to support model deployment.
- Automated ETL workflows and BI dashboards, reducing manual reporting effort by 40%.
- Analyzed datasets with 500k+ rows to identify data quality gaps.
- Created structured reports to communicate insights to non-technical stakeholders.
Featured Projects
Full-stack AI note-taking app with handwriting OCR. Draw on a canvas and Azure Computer Vision extracts your handwriting with per-word confidence scores. Three-service architecture with JWT auth, React Native mobile app, and an installable PWA.
Domain-specific AI consultant for a structural engineering firm covering property valuations, RCC design, structural audits, and legal advisory. RAG pipeline over 100+ Q&A pairs; automated lead capture to Google Sheets with email alerts.
Analyzes YouTube comments to determine sentiment and user personas using BERT. visualizing public opinion trends effectively.
LSTM-based text classification model with SHAP and LIME for explainability. Analyzed misclassified samples to reduce model bias.