Portrait of Neel Ghoshal

Neel Ghoshal

Machine Learning Engineer & Applied Researcher

M.S. Computer Science graduate from NC State University with production experience in statistical modeling, machine learning, and applied research, from a fine-tuned deployed ML system at the GeoForAll Lab to four peer-reviewed publications and internships across four organizations.

Education

M.S. Computer Science, NC State University

Raleigh, NC · Aug 2024 – Aug 2026

Coursework: Optimization and Algorithms, Advanced Deep Learning, AI, Statistics, Independent Study in ML for Software Engineering. Thesis details under Research & Publications.

B.E. Computer Science Engineering, Vellore Institute of Technology

India · Jul 2020 – May 2024

Capstone: Indic Legal LLM, a production LLM system with NLP. 4 published peer-reviewed papers in applied ML.

Work Experience

Five internships and research roles translating business and research problems into data-driven solutions.

Jun 2025 – Jul 2025

Machine Learning Engineer (Intern)

GeoForAll Lab, NC State University
Raleigh, NC
  • Built a predictive natural language interface over 200+ real-world datasets: exploratory data analysis, feature selection, and model validation; fine-tuned Qwen2.5-Coder-7B with PEFT/LoRA and built a retrieval pipeline.
  • Achieved a 5x performance improvement and 30% reduction in computational overhead; communicated technical tradeoffs to non-technical stakeholders.
Code: GRASS_RAG →
Sep 2024 – Dec 2024

Research Assistant

Innovative Education Computing Lab, NC State University
Raleigh, NC
  • Applied statistical methods and machine learning to extract actionable insights from complex education datasets: built predictive models, conducted EDA, and developed data pipelines.
  • Collaborated with senior researchers to improve analytical workflow efficiency by 80%.
Code: BubbleProject →
Apr 2024 – May 2024

Data Science Intern

Prayojaka Technologies
  • Reviewed and analyzed prior data science work against current company projects, conducted EDA, identified trends and data quality issues, and communicated actionable findings to stakeholders.
May 2023 – Jul 2023

Machine Learning Intern

Reliance Jio
  • Built and validated predictive models using a dataset of 200K+ users; conducted feature engineering and statistical analysis on large-scale structured data.
  • Ensured data quality and governance throughout the pipeline; reported findings to cross-functional stakeholders.
Aug 2022 – Oct 2022

Blockchain Developer Intern

Evia Network
  • Designed and implemented distributed systems using the Cosmos SDK and Golang, built REST API interfaces, and collaborated cross-functionally on system architecture.

Projects

Shipped, hands-on builds outside of coursework and research.

0:12

WorkIn: Pose Detection for Workouts

An online exercise-training platform built on PoseNet and p5.js. Real-time webcam posture detection tracks the user's skeleton and starts an on-screen timer only when the correct exercise posture is held, enabling accurate, self-guided personal training.

p5.js PoseNet Computer Vision JavaScript
View on GitHub →

VirtuAble: Accessibility Project

A complete accessibility tool that lets visually impaired users control video calls without a keyboard or mouse: an OpenCV real-time hand-gesture pipeline maps gestures to meeting controls (mute, hand-raise) and pairs with speech recognition for audio feedback.

OpenCV Django Speech Recognition Python
View on GitHub →

Neural Style Transfer

An implementation of "A Neural Algorithm of Artistic Style": blends the content of one image with the visual style of another using a pretrained VGG network and gradient-based optimization in TensorFlow.

TensorFlow Keras VGG Deep Learning Python
View on GitHub →
$

Salary Prediction Web App

A machine learning web app that predicts developer salary from country, education level, and years of experience, trained on the Stack Overflow Developer Survey and served through an interactive Streamlit interface.

Python Streamlit scikit-learn pandas
View on GitHub →

Research & Publications

Graduate thesis research and six peer-reviewed papers applying statistical and deep learning methods to real datasets.

Investigating the Impact of Technical Debt Remediation on Code Translation Tasks

N. Ghoshal, B. Tadesse, W.K.G. Assunção
Master's Thesis, North Carolina State University
2026

Real-Time Visual Data Processing using Neuromorphic Systems

N. Ghoshal, B.K. Tripathy
Primer to Neuromorphic Computing, pp. 161–183
2025

Artificial Intelligence Applied to the Management and Operation of Solar Systems

N. Ghoshal, B.K. Tripathy
Biomass and Solar-Powered Sustainable Digital Cities, pp. 317–338
2024

Chatbot for Mental Health Diagnosis using Data Augmentation Techniques and Deep Learning

N. Ghoshal, V. Bhartia, B.K. Tripathy, A. Tripathy
International Journal of Embedded Systems, 17(3–4), 171–182
2024

A Comprehensive Overview of AI Applications in Radiation Oncology

N. Ghoshal, B.K. Tripathy
Computational Intelligence for Oncology and Neurological Disorders, pp. 151–168
2024

Chatbot for Mental Health Diagnosis using NLP and Deep Learning

N. Ghoshal, V. Bhartia, B.K. Tripathy, A. Tripathy
Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML
2023

Chest X-Ray Image Classification of Pneumonia Disease using EfficientNet and InceptionV3

N. Ghoshal, M. Anas, S.S. Roy
Deep Learning Applications in Image Analysis, pp. 173–186
2023

Titles link to a Google Scholar search for the paper. See the full, up-to-date list on Google Scholar.

Skills

Data Science & Statistics

Python SQL R Statistical methods & hypothesis testing Predictive modeling Exploratory data analysis Feature engineering Model validation & optimization Data governance

Machine Learning & AI

scikit-learn PyTorch TensorFlow XGBoost PEFT / LoRA fine-tuning FAISS NLP Generative AI & LLMs AWS SageMaker Weights & Biases Pandas / NumPy / SciPy / statsmodels

Engineering & Collaboration

Golang Java C++ TypeScript / JavaScript Git Docker Linux REST APIs / FastAPI Matplotlib / Seaborn / Plotly

Certifications & Leadership

Certifications

  • Statistics & ML (Stanford / DeepLearning.AI)
  • AI Analyst
  • TensorFlow Developer
  • Salesforce AgentBlazer Champion

Leadership

  • President, Ratio Christi NC State (2025–2026): hosted events with 100+ participants; Legatus Christi Award
  • Co-Lead, Cohere for AI: mentored 50+ workshop participants
  • VP, CodeChef-VIT: student chapter of 4,000+ participants