
AI Engineer with less than a year in Machine Learning, Generative AI, and Data Science.
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Assessing your cultural and operational fit
Aspiring Machine Learning Engineer and Data Scientist with hands-on experience in AI, ML, and Generative AI solutions. Skilled in Python, SQL, LangChain, RAG, and cloud-based AI applications. Developed projects including Smart Farm Planner, AgriSathi AI Assistant, AI Document Search, AI-powered Resume Builder, and Healthcare Chatbot. Strong expertise in data analysis, model fine-tuning, prompt engineering, and deploying scalable AI solutions. Passionate about leveraging machine learning and AI to solve real-world problems.
Savitribai Phule Pune University
Bachelor of Engineering · Information Technology
August 1, 2021 – June 30, 2025
Janta College, Yeola
Higher Secondary Certification · Science
June 1, 2019 – May 31, 2021
Maestro Intellect
AI/ML Intern
October 1, 2024 – May 1, 2025
India
Document Detection Using Classical Computer Vision
June 1, 2026 – Present
Developed a classical computer vision system to detect and extract identity documents from images without using ML or OCR. Implemented edge detection, morphological operations, and contour analysis to robustly identify laminated card boundaries. Designed white-region segmentation to accurately isolate the actual document area and remove lamination borders. Generated clean outputs including document bounding boxes, perspective-corrected images, and lamination-free crops.
AgriSathi - AI-powered Agricultural Assistant
June 1, 2026 – Present
Built an intelligent assistant to fetch real-time agricultural market prices. Added features like query history, SMS/Call notifications, and price alerts. Integrated retrieval-augmented generation (RAG) for contextual responses.
News Research Tool
June 1, 2026 – Present
Built a RAG-based system to extract insights and answer questions from multiple news articles. Implemented semantic search using sentence embeddings and FAISS vector indexing. Designed a Streamlit UI for URL-based article ingestion and question answering.
F1GPT - AI-powered Formula 1 Assistant
June 1, 2026 – Present
Developed an interactive web assistant to answer real-time Formula 1 questions. Integrated retrieval-augmented generation (RAG) to combine LLM knowledge with live F1 data. Implemented vector search in AstraDB using OpenAI embeddings for contextual document retrieval. Built a chat-style UI with message bubbles, prompt suggestions, and loading animations in Next.js. Enabled streaming responses from GPT-4o for faster, conversational interactions.
Data Analysis with Python
IBM
June 1, 2026 – Present
Turning Data Into Decisions Using Python
IBM
June 1, 2026 – Present
Data Analytics: Turning Data into Decisions Using Python
IBM
June 1, 2026 – Present
Introduction to Data Science
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in diverse AI applications, from F1 analytics to agricultural assistance and document processing. This breadth of interest, combined with an internship focused on improving model accuracy and efficiency, suggests a proactive and results-oriented individual. The alignment with an 'AI Engineer' target role is strong due to the direct relevance of their projects and internship experience. However, the candidate is still pursuing a Bachelor's degree and has limited professional experience, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate lists several soft skills including Communication, Problem-Solving, Analytical Thinking, Critical Thinking, Teamwork, Leadership, Adaptability, Time Management, and Creativity. While these are valuable, there is no assessment data to validate these claims. The project descriptions are clear and concise, indicating good written communication. The candidate's focus on practical AI applications suggests a problem-solving and adaptable mindset.