Vishesh Chawda

AI/ML Engineer

Raipur Chhattisgarh 0+ yrs exp 81 · Excellent

About

Computer Science Engineer with hands-on experience in Machine Learning, Data Science, Artificial Intelligence, Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs). Proficient in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Data Analytics, with proven experience building predictive models, CNN-based computer vision applications, and Retrieval-Augmented Generation (RAG) systems. Skilled in data preprocessing, exploratory data analysis (EDA), feature engineering, model optimization, and data visualization. Seeking a Machine Learning Engineer, Data Scientist, AI Engineer, Data Analyst, or Python Developer role.

Skills & Expertise (34)

Python Advanced

8.5/10

Years Exp

Machine Learning Advanced

8.3/10

Years Exp

Deep Learning Advanced

8.3/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

TensorFlow Advanced

8.0/10

Years Exp

Keras Advanced

8.0/10

Years Exp

scikit-learn Intermediate

7.5/10

Years Exp

NLP Intermediate

7.5/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

Model Evaluation Statistical Analysis Matplotlib Seaborn Plotly Power BI GitHub Cvat Streamlit Ollama Predictive Modeling Data Cleaning Feature Engineering EDA OpenCV RAG LLaMA LangChain LLMs PyTorch CSS HTML SQL

Work Experience

Machine Learning Engineer Intern

Trecent Systems

Jun 2025 - Sep 2025

Annotated and validated images using CVAT for Automatic Number Plate Recognition (ANPR) model training, ensuring high-quality ground-truth data. Prepared and organized structured datasets to support computer vision model training and evaluation, improving downstream model reliability. Improved data quality and labelling consistency through standardized annotation guidelines and quality-control review processes. Collaborated with cross-functional AI/ML teams to optimize annotation workflows, reducing turnaround time and supporting faster model development cycles.

Data Science & Data Analyst (Internship)

Zidio Development

Sep 2024 - Nov 2024

Conducted exploratory data analysis (EDA) and data preprocessing on large, unstructured datasets using Python, Pandas, TensorFlow, and Keras. Developed and deployed machine learning and deep learning solutions, including a Speech Emotion Recognition system and a Digit Recognition system. Applied feature engineering, CNN architectures, and hyperparameter tuning to improve model performance. Delivered actionable insights from large-scale datasets to support data-driven decision-making for stakeholders.