AI Engineer with 1+ years in Data Science & Machine Learning
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Highly motivated and results-oriented professional with 1.7 years of experience in data science, machine learning, and generative AI. Proven ability to develop and optimize data-driven solutions, build interactive dashboards, and implement deep learning models. Strong expertise in Python, SQL, cloud platforms, and various data analysis and machine learning libraries. Seeking challenging opportunities to apply technical skills and contribute to innovative projects.
MIT College of Railway Engineering and Research
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2025
Swami Vivekanand Institute of Technology
Diploma · Computer Science and Engineering
August 1, 2019 – June 30, 2022
Webflash Solution
Data Science Intern
December 1, 2025 – March 1, 2026
India
Skill Academy by Testbook
Data Analyst Intern
March 1, 2025 – Present
India
Automatic Colorization of Grayscale Images
June 21, 2026 – Present
Developed a deep learning-based system using PyTorch to convert grayscale images into realistic RGB images. Implemented advanced preprocessing techniques such as noise reduction and contrast enhancement to improve input quality. Designed and trained models using RGB and LAB color spaces for accurate color reconstruction. Enabled both automatic and user-guided colorization, allowing users to specify colors for specific regions. Evaluated model performance using accuracy metrics and optimized results through hyperparameter tuning.
GitHub Codebase Assistant
June 21, 2026 – Present
Developed a RAG-based AI assistant to analyze and understand GitHub repositories using natural language queries. Implemented repository ingestion, code and text chunking, embedding generation, and vector database storage for efficient retrieval. Integrated LLMs to provide accurate answers, summaries, and explanations about the codebase. Built features such as codebase Q&A and repository summarization to improve developer productivity. Designed scalable backend workflows for handling large repositories and complex queries.
Business Analyst
Skill Academy by Testbook
July 1, 2024 – Present
Machine Learning and Data Science
GeeksforGeeks
February 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects are highly relevant to an AI Engineer role, showcasing a strong interest and foundational skills in AI/ML, particularly Generative AI and RAG. The internships, while more data analysis-focused, demonstrate versatility and an understanding of data pipelines and business intelligence. The breadth of skills (Python, SQL, FastAPI, PyTorch, LLMs, Power BI) indicates a willingness to learn and adapt. However, the experience level is entry-level, and the projects are academic, which might require more mentorship and integration into a professional team environment. The candidate's profile aligns with a learning-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through certifications and academic projects. The project descriptions indicate an ability to work on complex technical challenges and a structured approach to problem-solving. The internship experiences suggest an understanding of business requirements and the ability to translate data into insights. However, the remote nature of internships and academic focus means direct experience in a fast-paced, collaborative industry setting is limited.