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Devansh Rathore

AI / Machine Learning Engineer (Entry-Level)

Indore, India • +91 97550 31288 • devansh.rathore.ml@gmail.com • linkedin.com/in/devansh-rathore-ml • github.com/devanshrathore

Portfolio: www.eliorexa.com/portfolio/ai-ml-engineer-fresher

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.

Skills

Languages & math: Python, SQL, NumPy, Linear algebra, Probability & statistics, Optimization

ML & deep learning: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, XGBoost, Pandas

NLP & LLMs: Transformers, Fine-tuning (LoRA), Embeddings, RAG, spaCy, Prompt engineering

MLOps & cloud: Docker, FastAPI, MLflow, Git, AWS (S3, EC2), GCP (Vertex AI), Streamlit

Core Competencies

Python · PyTorch · TensorFlow · scikit-learn · LLMs · NLP · MLOps · data pipelines · model deployment · AWS · GCP · Machine Learning Engineer

Work Experience

Machine Learning Intern — Nimbus Analytics

Jan 2025 – Jun 2025

Remote

  • 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.

Projects

LexBrief — legal-document summarizer — +18% ROUGE-L

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.

Tech: PyTorch, LLMs, NLP, GCP

RetinaScan — diabetic retinopathy CV model — Top 5% Kaggle

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.

Tech: TensorFlow, Computer Vision, Kaggle

Education

B.Tech Data Science & Artificial Intelligence

2026

IIIT 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).