Arman.
Machine learning engineer in training. I turn data into models and AI products that solve real problems, end to end.
Things I've built
Each one: the problem, what I built, and what came out of it.
What I work with
Machine learning
- Recommender systems
- Anomaly detection
- NLP & deep learning
- scikit-learn, XGBoost
- TensorFlow, Keras
Time series
- SARIMA, Prophet
- STL decomposition
- Stationarity tests (ADF, KPSS)
- Forecast evaluation
- statsmodels, pmdarima
LLMs & agents
- Retrieval-augmented generation
- Agentic workflows
- Transformers
- Kimi LLM
- Prompt design
Data & databases
- Python, pandas, NumPy
- SQL, PostgreSQL, MySQL
- MongoDB
- Apache Spark
- Grafana
MLOps & deployment
- Airflow, MLflow
- Docker Compose
- GitHub Actions CI, pytest
- AWS EC2
- Drift monitoring
Shipping apps
- FastAPI model serving
- Streamlit dashboards
- React front ends
- Deploying ML to the web
Where I've learned
-
2026 — 2027
MSc Artificial Intelligence Systems — EPITA
Paris, France. Coursework in Data Science in Production, Big Data and Cloud, Deep Learning, NLP, Spark, NoSQL, Time Series Analysis and Reinforcement Learning.
-
Dec 2024 — May 2025
Data Science Intern — Personify
Bengaluru, India, in collaboration with CELL, IIT Guwahati. Delivered three end-to-end ML projects (hate speech detection, SMS spam classification and credit risk analysis), building NLP text-classification pipelines from cleaning and vectorisation to model selection and evaluation.
-
Aug 2021 — Sep 2025
B.Tech, Computer Science and Engineering — Vel Tech
Vel Tech R&D Institute of Science and Technology, Chennai, India. Four years of computer science foundations, capped by a 3rd-place finish in AlgoZen competitive programming at Technex'25, IIT (BHU) Varanasi.