AI Engineer with less than a year in Machine Learning & Generative AI
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Results-driven AI & ML Engineer with hands-on experience in Python, Machine Learning, Deep Learning, and Data Analysis. Built end-to-end projects leveraging LLMS, RAG, CNN, and Recommendation Systems. Proficient in Flask, Docker, and Cloud deployment (AWS, Azure). Skilled in NLP, Computer Vision, and Generative AI with a focus on building scalable, production-ready solutions.
Sandip Institute of Technology & Research Centre
B.E. · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Algonive
Data Science Intern
December 1, 2025 – March 1, 2026
India
Coding Raja Technologies & InternPe
Python Intern
December 1, 2023 – March 1, 2024
India
AI-Powered Medical Chatbot using LLMS & RAG
June 1, 2026 – Present
Developed an AI-powered Medical Chatbot for intelligent query answering using LLMs and Retrieval-Augmented Generation (RAG). Built a Flask web application integrating LangChain and Pinecone for semantic search and context-aware response generation. Deployed using Docker on AWS (EC2, ECR) with automated CI/CD pipelines via GitHub Actions.
View ProjectPlant Disease Prediction using Deep Learning
June 1, 2026 – Present
Built a CNN model using TensorFlow/Keras to classify 38 plant diseases from leaf images with data augmentation. Developed an interactive Streamlit application for real-time disease prediction from uploaded images. Containerized with Docker for deployment readiness and scalability.
View ProjectTravel Recommendation System
June 1, 2026 – Present
Built a personalized ML-based travel recommendation system suggesting destinations based on user preferences. Developed Flask web interface with data preprocessing and recommendation logic for improved suggestion relevance.
View ProjectGold Distinction - NASSCOM Data Science Examination
NASSCOM
June 1, 2026 – Present
3-Star rating in Python and SQL on HackerRank
HackerRank
June 1, 2026 – Present
Full Stack Data Science & Generative AI Certification
NareshIT, Hyderabad
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity (chatbot, image classification, recommendation system) and engagement in certifications suggest a proactive and learning-oriented individual. The focus on practical, deployable solutions aligns with a results-driven culture. However, the limited professional experience (internships) means there's less data to assess long-term cultural alignment or collaboration in a team setting.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and certifications. The project descriptions indicate an ability to work on end-to-end solutions, which suggests good problem-solving and project management potential. However, without direct interview data or psychometric test results, it's difficult to fully assess soft skills like teamwork, communication, or stress handling.