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I'm a passionate AI/ML Engineer with a strong foundation in Generative AI, NLP, and cloud-native development using Python and Java. I've applied these skills in impactful projects—such as building RAG systems and deploying intelligent agents during my time at Ford and Veninfos. I thrive on creating AI solutions that are practical, scalable, and meaningful in the real world. I'm skilled in leveraging AWS, Azure, and open-source tools like PyTorch and TensorFlow to build end-to-end intelligent systems, and I'm driven by curiosity to turn bold ideas into real-world impact.…I'm a passionate AI/ML Engineer with a strong foundation in Generative AI, NLP, and cloud-native development using Python and Java. I've applied these skills in impactful projects—such as building RAG systems and deploying intelligent agents during my time at Ford and Veninfos. I thrive on creating AI solutions that are practical, scalable, and meaningful in the real world. I'm skilled in leveraging AWS, Azure, and open-source tools like PyTorch and TensorFlow to build end-to-end intelligent systems, and I'm driven by curiosity to turn bold ideas into real-world impact.

Aman G.

Data Scientist, Web Developer, Full Stack Developer, +4

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I'm a passionate AI/ML Engineer with a strong foundation in Generative AI, NLP, and cloud-native development using Python and Java. I've applied these skills in impactful projects—such as building RAG systems and deploying intelligent agents during my time at Ford and Veninfos. I thrive on creating AI solutions that are practical, scalable, and meaningful in the real world. I'm skilled in leveraging AWS, Azure, and open-source tools like PyTorch and TensorFlow to build end-to-end intelligent systems, and I'm driven by curiosity to turn bold ideas into real-world impact.…I'm a passionate AI/ML Engineer with a strong foundation in Generative AI, NLP, and cloud-native development using Python and Java. I've applied these skills in impactful projects—such as building RAG systems and deploying intelligent agents during my time at Ford and Veninfos. I thrive on creating AI solutions that are practical, scalable, and meaningful in the real world. I'm skilled in leveraging AWS, Azure, and open-source tools like PyTorch and TensorFlow to build end-to-end intelligent systems, and I'm driven by curiosity to turn bold ideas into real-world impact.

Available to hire

I’m a passionate AI/ML Engineer with a strong foundation in Generative AI, NLP, and cloud-native development using Python and Java.

I’ve applied these skills in impactful projects—such as building RAG systems and deploying intelligent agents during my time at Ford and Veninfos. I thrive on creating AI solutions that are practical, scalable, and meaningful in the real world. I’m skilled in leveraging AWS, Azure, and open-source tools like PyTorch and TensorFlow to build end-to-end intelligent systems, and I’m driven by curiosity to turn bold ideas into real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

GenAI Developer at Ford Motor Company

May 1, 2024 - Present

Architected and implemented a RAG-based GenAI platform using LangChain, FAISS, and Python, enabling context-aware responses across compliance-critical documentation. Deployed a scalable semantic search pipeline on AWS EC2 with vector indexing using PyTorch embedding models for high-precision retrieval. Automated ingestion and processing of unstructured documents using AWS Lambda and API Gateway, with structured storage and retrieval from Amazon S3 and Athena. Integrated Crew AI into internal systems to autonomously draft context-driven communications, reducing manual workload and improving response quality through Generative AI.

ML/NLP Developer at Veninfos

June 1, 2022 - July 1, 2023

Developed and productionized an NLP workflow for sentiment classification using TF-IDF, Logistic Regression, and SVM, trained on large-scale e-commerce review datasets with Scikit-learn. Applied scalable preprocessing techniques including token normalization, lemmatization, and stop-word filtering for advanced language modeling with SpaCy. Developed dynamic Tableau dashboards to present sentiment trends, user behavior insights, and category-based feedback patterns using Python data analysis. Packaged and deployed the machine learning model as a Flask REST API on AWS EC2 to support real-time inference and integration into analytics workflows.

Developer Intern at Smart Bridge collaboration with IBM

February 1, 2022 - April 1, 2022

Designed a Convolutional Neural Network (CNN) using VGG16 architecture for detecting leaf diseases in fruits and vegetables, achieving high accuracy through TensorFlow training. Trained the deep learning model on a dataset of over 20,000 images and deployed it as a Flask-based API for accessibility. Developed a user-friendly web interface using HTML and CSS, enabling farmers to upload leaf images for diagnosis and receive AI-driven insights. Enhanced agricultural decision-making, reducing crop diseases and increasing yields through computer vision applications.