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AI Engineer with less than a year in Machine Learning & Deep Learning
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/ML Engineer with hands-on experience in Machine Learning, Deep Learning, LLMs, RAG, LangChain, LangGraph, AI Agents, and Vector Databases. Experienced in building predictive models, AI-powered chatbots, automation systems, and deploying applications using Python, Flask, FastAPI, and AWS.
Mandsaur University
B.Tech · Computer Science & Engineering
August 1, 2017 – June 30, 2021
Technocolabs Softwares
Deep Learning Intern
April 1, 2025 – June 1, 2025
India
Inlighn Tech
Machine Learning Intern
March 1, 2025 – April 1, 2025
India
Forsk Technologies
Data Analysis Intern
November 1, 2020 – December 1, 2020
India
AI Agent & RAG Chatbot
June 24, 2026 – Present
Built using LangChain, LangGraph, LLMs, FAISS/ChromaDB, and agent workflows.
AI Automation Hackathon – Mindcruise Tech, Indore
June 24, 2026 – Present
Built a health symptom tracking and prediction system using Python, Flask, and machine learning. Designed automated workflows from user input to model prediction.
Last-Mile Delivery / Pickup Route Optimization
June 24, 2026 – Present
Built a machine learning system to identify the most efficient routes for pickup and delivery. Performed data cleaning, EDA, and feature engineering on logistics datasets. Trained and compared Linear Regression, Random Forest, XGBoost, LightGBM, and LinearSVR models
Potato Leaf Disease Detection (Deep Learning)
June 24, 2026 – Present
Developed a CNN model using TensorFlow and Keras to classify potato leaf diseases. Deployed the model using Flask for real-time predictions.
Rental Management System (Flask Application)
June 24, 2026 – Present
Designed and developed a rental management web application using Flask and SQL. Implemented features for tenant records, rent tracking, and basic workflow automation.
Cultural Fit Analysis
The candidate's project diversity, including personal and academic projects, demonstrates initiative and a broad interest in applying AI/ML. The involvement in a hackathon suggests a collaborative and problem-solving mindset. The range of technologies used indicates adaptability and a willingness to learn new tools. The target role of 'AI Engineer' aligns well with the candidate's stated summary and project experience in building AI-powered systems and chatbots.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse problems and apply various technical solutions. The hackathon project suggests an ability to work under pressure and deliver functional prototypes. However, without direct assessment data on communication, teamwork, or problem-solving approaches, a comprehensive evaluation of soft skills and operational fit is limited.