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AI Engineer with 1+ years in Deep Learning, NLP, and Computer Vision.
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Pradyumna Digraskar is an AI Engineer with approximately 1.8 years of experience across various internships, focusing on Artificial Intelligence, Data Science, and Machine Learning. Possessing strong skills in Deep Learning, Natural Language Processing, and Computer Vision, Pradyumna has developed and deployed RAG-based chatbots, vision inspection systems, and AI-powered translation tools. With practical experience in cloud operations and large-scale data handling, Pradyumna is proficient in Python, SQL, and various AI/ML frameworks, demonstrating a strong capability to build end-to-end AI applications.
CSMSS CSCOE
B-Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2025
Flynaut SaaS Private Limited
AI Engineer Intern
June 1, 2025 – December 1, 2025
India
Tech-Advance Global Solutions
Data Science Intern
August 1, 2024 – March 1, 2025
India
Artistic Codes
AI Engineer Intern
January 1, 2024 – July 1, 2024
India
Generative AI Multimodal Chatbot
June 1, 2026 – Present
An Chatbot that can work on Text, Image, Video and Audio. Used a LLMs that work on text also vision models that works on image and Video generations. Utilized the concepts of Gen AI for to precisely Generation. Created a simple GUI that helps User to complete the desired task.
View ProjectIndian Sign Language to Text/Speech translation
June 1, 2026 – Present
Designed a web application through which the Deaf/mute and normal person can communicate effectively. Used MediaPipe for tracking the key points on hands in real time detection of hand-gestures. Used Text-To-Speech model for converting text into speech in real time. Used Alphabet Sign language dataset and trained the model using Random Forest algorithm.
View ProjectGenerative AI Q/A Evaluation Chatbot
June 1, 2026 – Present
Developed a web application to accurately evaluate the question and answers regarding to particular topic. Used a LLM model called ollma and used its 7-Billion Parameter Model. Utilized the concepts of Gen AI and LLM to precisely extract the answers for evaluation. It is also able to precisely suggest the appropriate approach and help the users to estimate the answers more easily and accurately.
View ProjectReinforcement Learning Foundations
Unknown
June 1, 2026 – Present
Machine Learning
Unknown
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
NPTEL Deep Learning
Unknown
June 1, 2026 – Present
Natural Language Processing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong alignment with the AI Engineer role, particularly in Generative AI, NLP, and Computer Vision. The diversity of projects (multimodal chatbot, sign language translation, Q/A evaluation) indicates a broad interest and willingness to explore different AI applications. The experience with both remote and on-site internships suggests adaptability. The candidate's focus on end-to-end application development is a positive indicator for cultural fit in a product-oriented team.
Soft Skills & Operational Fit
The candidate's resume indicates experience in managing tasks with cross-functional teams and effective communication, suggesting a foundational understanding of collaborative work environments. However, the descriptions are brief and lack specific examples of problem-solving or leadership in team settings.