AI / Machine Learning Engineer · Fresher · 0 yrs
Devansh Rathore
AI / Machine Learning Engineer (Entry-Level)
Professional summary
Final-year Data Science graduate who builds and ships end-to-end ML — from data pipelines and feature engineering to PyTorch model training and a deployed inference API. Strong in the math behind the models (linear algebra, probability, optimization) and fluent in Python, scikit-learn and modern NLP with LLMs. Turns coursework into working systems, demonstrated across 3 deployed projects, a top-5% Kaggle finish and a fine-tuned transformer serving live predictions.
3
ML projects deployed live
Top 5%
Kaggle leaderboard finish
0.91
ROC-AUC, churn model
Skills
Languages & math
ML & deep learning
NLP & LLMs
MLOps & cloud
Work experience
Machine Learning Intern · Nimbus Analytics
Jan 2025 – Jun 2025Remote
- Built a scikit-learn churn-prediction pipeline on 180k customer records, reaching 0.91 ROC-AUC and surfacing the top 5 churn drivers for the growth team.
- Engineered a reusable Pandas feature-pipeline that cut data-prep time ~40% and standardized inputs across 3 models.
- Packaged a PyTorch sentiment model behind a FastAPI + Docker service deployed on AWS EC2, serving predictions at p95 under 180ms.
- Tracked 25+ experiments in MLflow, making model comparisons reproducible and shrinking retraining turnaround from a day to under an hour.
Featured projects
NLP app that summarizes long contracts using a fine-tuned transformer.
- Fine-tuned a Hugging Face transformer with LoRA on 4k contract clauses, lifting ROUGE-L 18% over the zero-shot baseline.
- Shipped a Streamlit front end and FastAPI inference endpoint on GCP, returning summaries for 30-page PDFs in under 6 seconds.
Computer-vision classifier grading retinal scans across 5 severity levels.
- Trained a TensorFlow CNN on 35k labeled fundus images, reaching 0.89 quadratic-weighted kappa — top 5% on the Kaggle leaderboard.
- Added Grad-CAM explainability overlays so reviewers can see the regions driving each prediction.
Education
B.Tech Data Science & Artificial Intelligence
2026IIIT Naya Raipur, Raipur
CGPA 8.9/10 · Coursework: Machine Learning, Deep Learning, NLP, Linear Algebra, Probability, Big Data Systems
Certifications
DeepLearning.AI Deep Learning Specialization
Coursera · 2025
TensorFlow Developer Certificate
Google · 2025
Achievements
Top 5% (of 3,400+ teams) — Kaggle diabetic-retinopathy detection challenge.
Open-source: 4 merged PRs to a Hugging Face dataset-tooling library (8k+ GitHub stars).
See the work in 3D
Explore Devansh's interactive WebGL portfolio — projects, skills and a way to get in touch.