Open to opportunities

Naman Rao

@namanrao

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Machine Learning Engineer (Fresher) skilled in deep learning, NLP, computer vision, and production model deployment.

India

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What I'm looking for

I am seeking an entry-level ML/AI role on a collaborative team where I can apply deep learning, NLP, and computer vision skills, contribute to production deployments, and grow in MLOps and model scalability.

I am a Machine Learning Engineer (Fresher, 2026) with hands-on experience in deep learning, NLP, computer vision, and end-to-end ML pipeline development. I have built and deployed production-ready models using Python, TensorFlow, and PyTorch, and I enjoy solving real-world problems with data-driven approaches.

My projects include a sentiment-aware transformer chatbot (92% F1, Dockerized Flask API), an ensemble-based multi-disease prediction system (94% accuracy with SHAP explainability), real-time YOLOv8 object detection & tracking (mAP@0.5 = 0.89), and LSTM-based stock prediction with improved RMSE and directional accuracy. I am eager to contribute to high-impact AI/ML teams and continue growing in MLOps and scalable model deployments.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

Mahakal Institute of Technology and Management

Jan 2022 - Jan 2026 (4 years)

Completed B.Tech with hands-on projects in deep learning, NLP, computer vision, and end-to-end ML pipelines, delivering production-ready models with real-time inference under 200 ms and 92% F1 on a sentiment classifier.

Python TensorFlow PyTorch Hugging Face Docker NLP Computer Vision scikit learn

ML Project — Sentiment Chatbot

Personal Projects

Fine-tuned a BERT-based transformer on 50,000+ reviews achieving 92% F1 and integrated sentiment-aware responses in a Flask API, containerized with Docker for sub-200 ms real-time inference.

Hugging Face BERT Flask Docker Python Model Quantization Tokenization Transfer Learning

ML Project — Stock Prediction

Personal Projects

Trained a stacked LSTM on 5 years of OHLCV data, reducing RMSE by 23% versus ARIMA and improving directional accuracy to 71% using Keras Tuner for hyperparameter optimization.

TensorFlow Time Series Keras Tuner Pandas RMSE Reduction Python

ML Project — Object Detection

Personal Projects

Implemented YOLOv8-based detection fine-tuned on 5,000 images achieving mAP@0.5 of 0.89 and integrated DeepSORT tracking to enable multi-object tracking at 30+ FPS on CPU for surveillance use cases.

YOLOv8 OpenCV PyTorch Object Detection Python

ML Project — Disease Prediction

Personal Projects

Built an ensemble system (Random Forest, XGBoost, SVM) achieving 94% accuracy with end-to-end preprocessing, SMOTE balancing, and a Streamlit app for clinician-facing predictions with SHAP explainability.

Random Forest XGBoost SVM SMOTE SHAP Streamlit Python

Education

Degrees, certifications, and relevant coursework

Mahakal Institute of Technology and Management

Bachelor of Technology, Computer Science & Engineering

2022 -

Grade: 5.88 / 10

Activities and societies: Projects in NLP, computer vision, and ML pipeline deployment; participated in college hackathon; active on GitHub; solved 200+ DSA problems.

Pursuing a B.Tech in Computer Science & Engineering with coursework in Machine Learning, Deep Learning, algorithms, and databases; completed projects in NLP, computer vision, and time-series forecasting.