SHANTANU TINKHEDE
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 2+ years in Machine Learning & Deep Learning
AI Developer with 2+ years of experience in building and deploying machine learning and deep learning solutions for real-world applications. Skilled in NLP, Computer Vision, and Generative AI, including LLMs with RAG-based applications and chatbot development. Experienced in working with models like CNNs (EfficientNet, ResNet), YOLO, and Transformer-based architectures (VideoMAE). Proficient in model optimization and deployment using OpenVINO for real-time, CPU-efficient performance. Strong background in backend integration, including APIs and ZMQ socket communication. Passionate about leveraging AI and Data Science to solve industry problems, with the ability to work independently and in team environments.
Amity University/ Delhi
Master In Computer Applications · Ai/ML
August 1, 2024 – June 30, 2026
St. Francis De sales, RTMNU UNIVERSITY
Bachelor in Computer Application
August 1, 2021 – June 30, 2024
ST Paul College Nagpur
12th Science/IT · Science/IT
June 1, 2019 – May 31, 2021
Live Eye Surveillance
Ai Engineer
January 27, 2026 – April 24, 2026
India
Atina Technology Pvt. Ltd.
Ai Engineer
May 20, 2025 – January 9, 2026
India
Appynitty/KS Associates
Ai Devloper
July 12, 2024 – May 16, 2025
India
Unmessenger
Data Scientist
May 2, 2024 – August 31, 2024
India
Machine learning Projects
June 1, 2026 – June 1, 2026
Predicting Medical Health Expenses (Performing Univariate analysis, Performing Bivariate analysis, Performing Multivariate analysis, Predictive modelling, Processing the data for modelling, Applying linear regression model, Applying random forest model, Applying gradient boosting model, Creation assemble of models, Comparing, Performance of these models)
Chatbot Project
June 1, 2026 – June 1, 2026
Developed an intelligent chatbot using NLP and LLM-based RAG architecture for context-aware responses. Built a system to process user queries and generate accurate, relevant answers from structured and unstructured data. Designed scalable backend APIs for real-time interaction and efficient data handling.
Data analysis project
June 1, 2026 – June 1, 2026
Spotify Data Analysis using Tableau (Exploration of the data set, Importing the data set, Music classification on energy in spotify, Live nest of music in spotify, Artist segmentation, Artist prefers by most of the people, Creation of Spotify Dashboard)
Generative AI Projects
June 1, 2026 – June 1, 2026
Developed LLM-based applications using RAG (Retrieval-Augmented Generation) for intelligent information retrieval and chatbot systems. Worked with LLAMA (3B) for fine-tuning and building NLP-driven solutions, including query-to-SQL conversion systems. Built applications using Diffusion Models for generative tasks. Implemented Transformer-based models (VideoMAE) for video understanding and action recognition.
Cultural Fit Analysis
The candidate's project diversity, ranging from medical expense prediction to Spotify data analysis and various AI applications, indicates a broad interest in applying AI/ML across different domains. The experience in multiple AI Engineer roles aligns well with the target role. The breadth of skills, including Python, various ML libraries, and tools like GitHub and SQL, suggests adaptability and a willingness to learn and apply diverse technologies. The ongoing Master's degree in AI/ML further demonstrates a commitment to the field.
Soft Skills & Operational Fit
The candidate's resume indicates experience working independently and in team environments. The project descriptions suggest an ability to tackle complex problems and deliver end-to-end solutions. However, without specific assessment data on soft skills, a comprehensive evaluation of stress handling, logical reasoning, and team collaboration is not possible.