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Ashish KumarAK
Looking for a job

Ashish Kumar

@ashishkumar43

AI Engineer specializing in Generative AI, LLMs, RAG, NLP, and Computer Vision. Building production-ready AI applications with Python, FastAPI.

India
Message

What I'm looking for

I'm looking for opportunities to design, build, and deploy production-ready AI applications using Machine Learning, Generative AI, LLMs, RAG, NLP, and Computer Vision. I enjoy solving real-world problems, building scalable backend systems with FastAPI, and collaborating with engineering teams to deliver AI-powered products.

I am a B.Tech graduate in Artificial Intelligence and Data Science (CGPA: 8.7/10) from Guru Gobind Singh Indraprastha University (USAR), passionate about building production-ready AI applications that solve real-world problems.

My experience spans Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and Computer Vision. During my Data Science Internship, I developed an NLP-based Resume Screening and Ranking System that processed over 750 resumes and reduced manual screening time by approximately 70%. I also built and deployed a Flask-based Resume–JD Matching application using TF-IDF, NLTK, and Scikit-learn.

As an AI Research Intern, I developed a deep learning-based Skin Lesion Classification system using CNN architectures and the HAM10000 dataset, achieving strong validation performance through data preprocessing and model optimization.

My projects include an AI-Powered PDF Question Answering System using FastAPI, LangChain, FAISS, and Google Gemini, a YOLOv8-based Real-Time License Plate Detection System with OCR, and an Occlusion Invariant Face Recognition System.

My technical expertise includes Python, SQL, FastAPI, LangChain, TensorFlow, Scikit-learn, Docker, Git, REST APIs, and AI model deployment. I am actively seeking full-time opportunities as an AI Engineer, Machine Learning Engineer, Generative AI Engineer, or Data Scientist where I can build scalable AI solutions and contribute to real-world products.

Experience

Work history, roles, and key accomplishments

UR

AI Research Intern - Vision Systems

University School of Automation and Robotics

Aug 2024 - Nov 2024 (3 months)

Designed a deep learning-based skin lesion classification system using CNN architectures. Trained on 10,015 HAM10000 dermoscopic images with preprocessing and augmentation, and evaluated performance using accuracy metrics and confusion matrices.

Education

Degrees, certifications, and relevant coursework

UG

University School of Automation and Robotics (GGSIPU)

Bachelor of Technology (B.Tech), Artificial Intelligence and Data Science

2021 - 2025

Grade: CGPA: 8.7

B.Tech in Artificial Intelligence and Data Science at University School of Automation and Robotics (GGSIPU) in New Delhi, India (2021–2025).

CS

Columbia Foundation Sr. Sec. School

Intermediate, Intermediate

Grade: Percentage: 83%

Completed Intermediate at Columbia Foundation Sr. Sec. School in Delhi, India in 2020, achieving 83%.

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