Soumil Juneja

AI Researcher

Gurugram, Haryana, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Hands-on experience in diverse machine learning domains.
Developed innovative classification models using Quantum NLP.
Built a CNN-based system for real-world tyre defect classification.

Stackforce AI infers this person is a Machine Learning and AI specialist with a focus on innovative applications in technology.

Contact

Skills

Core Skills

Machine LearningDeep LearningNatural Language Processing (nlp)Quantum Machine LearningTensorflow

Other Skills

TF-IDFBERTImage ClassificationObject-Oriented Programming (OOP)Operating SystemsGenerative AIConvolutional Neural Networks (CNN)Data AnalysisModel Fine-tuningQuantum NLPC++Assembly LanguagePython (Programming Language)Computational methodsNeural Networks

About

Hi, I'm Soumil Juneja, a pre-final Engineering Physics student at Delhi Technological University (DTU). I'm deeply passionate about future-oriented technologies like Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, etc. I'm fascinated by how these fields can shape industries like logistics, automation, and enterprise tech. I'm also keenly interested in the mathematics behind them. My curiosity naturally draws me to the Data Science space — where software engineering and statistics come together to create meaningful impact. I enjoy diving into data, building solutions that are smart and usable. In the long run, my goal is to use my skills to build innovative, responsible tech that solves real problems and contributes to a more sustainable future.

Experience

1 yr 9 mos

Total Experience

1 yr 4 mos

Average Tenure

Current Experience

Amazon

Amazon ML Summer School

Aug 2025 – Sep 2025 · 1 mo

Selected from thousands of candidates and gained hands-on experience across a wide range of machine learning domains, including Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Sequential Learning, Reinforcement Learning, Generative AI and LLMs & Causal Inference.

Machine LearningDeep Learning

Iiser bhopal

Machine Learning Research Intern

May 2025 – Jul 2025 · 2 mos · Bhopal, Madhya Pradesh, India · Remote

Working on building classification models of corporate legal clauses using both classical ML (TF-IDF+ NB & BERT) and Quantum NLP with lambeq and PennyLane, comparing performance through structured parsing, circuit-based modeling, and metric evaluation.

Natural Language Processing (NLP)Quantum Machine Learning

Apollo tyres ltd

Intern - IT and digital (Machine Learning)

May 2025 – Jul 2025 · 2 mos · Gurugram, Haryana, India · On-site

Building a CNN-based Deep learning tyre defect classification system using ImageNet models (MobileNetV2, EfficientNet) using TensorFlow, with data augmentation, focal loss, and fine-tuning to tackle class imbalance and boost performance across real-world defect categories.

TensorFlowDeep Learning