~/portfolio/experience
Machine Learning Intern
Jan 2026 – Jun 2026@ BrainerHub Solutions — Ahmedabad, India
- Developed Random Forest and XGBoost regression models with GridSearchCV hyperparameter tuning and k-fold cross-validation, optimized feature pipelines across 3 business verticals with 15% accuracy improvement over baseline.
- Architected end-to-end data pipelines (ingestion → EDA → feature engineering → training → evaluation) with Scikit-learn and Pandas, tracked experiments via MLflow, reducing data preparation time by 40%.
- Engineered deep learning classification models for a healthcare AI system with disease prediction and clinical dashboards, deployed via FastAPI with automated retraining pipelines serving 500+ patient records.
Python
scikit-learn
Pandas
XGBoost
FastAPI
MLflow
Software Development Intern
May 2024 – Dec 2024@ Regenwave — Ahmedabad, India
- Processed 5,000+ IoT sensor records, designed cloud-integrated RESTful APIs in Node.js with SQL-backed data ingestion, improving pipeline throughput by 20%.
- Engineered React.js monitoring dashboards with WebSocket integration for live anomaly detection, reducing mean time-to-alert by 35%, maintained 90%+ unit test coverage with pytest via GitHub Actions CI/CD.
React.js
Node.js
SQL
WebSockets
pytest
GitHub Actions
sys_info --stack
> system_scan init
> evaluating core dependencies…
OK 4 modules found.
> evaluating core dependencies…
OK 4 modules found.
01. Languages
[+] Python 3
[+] TypeScript
[+] JavaScript
[+] Rust
02. Frameworks
[+] React
[+] Next.js
[+] FastAPI
[+] LangGraph
03. Infrastructure
[+] Docker
[+] AWS
[+] Supabase
[+] PostgreSQL
04. AI / ML
[+] GPT-4o
[+] LangChain
[+] PyTorch
[+] OpenCV
05. Achievements
✓ Survived production deployment
✓ Fixed bug without StackOverflow
✓ Trained AI at 3AM
root@portfolio:~#