SARANG RAMPAL
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 less than a year in Python, LLMs & Computer Vision
AI/ML Engineer and final-year B.E. (AI & ML) graduate with proven experience in Python development, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and multi-agent systems. Skilled in designing and deploying machine learning pipelines, deep learning models (PyTorch, TensorFlow), computer vision solutions (OpenCV, ViT), and REST API backends. Hands-on with OpenAI API, prompt engineering, AI automation workflows, and full-stack development. Seeking AI Engineer, ML Engineer, Generative AI, or Software Engineer roles to build scalable, production-ready AI systems.
Chandigarh University
B.E. · Computer Science Engineering (Artificial Intelligence & Machine Learning)
August 1, 2022 – May 1, 2026
SmartInfo Care Solutions Pvt Ltd
Python Development Intern
June 1, 2025 – July 1, 2025
India
DIGIPPLUS
SEO & Product Growth Intern
May 1, 2024 – July 1, 2024
India
Coincent
AI with Python Intern
November 1, 2022 – January 1, 2023
India
Multi-Agent Agentic AI Customer Support System
January 1, 2026 – February 1, 2026
Architected a production-style multi-agent system using Large Language Models (LLMs) with role-specialized agents: query understanding, reasoning, response generation, and escalation handling. Integrated Retrieval-Augmented Generation (RAG) pipeline with external knowledge bases via OpenAI API, improving response accuracy and contextual relevance.
View ProjectVision Transformer (ViT) Image Classification
November 1, 2025 – December 1, 2025
Implemented a Vision Transformer (ViT) model from scratch using PyTorch for CIFAR-10 image classification; built end-to-end pipeline including data preprocessing, hyperparameter optimization, and model saving.
AI-Controlled Robotic Arm
December 1, 2023 – January 1, 2024
Engineered an AI-powered robotic arm using OpenCV for real-time object detection and tracking, automating movement control through computer vision algorithms.
Full-Stack Inventory Management System
December 1, 2022 – January 1, 2023
Developed a full-stack web application using Node.js, Express.js, React, and SQLite with JWT authentication, role-based access control, and complete CRUD operations.
Robotics and Automation
Unknown
June 1, 2026 – Present
AI with Python
Coincent
June 1, 2026 – Present
Oracle Cloud Infrastructure - Generative AI Professional
Oracle
June 1, 2026 – Present
IBM Data Science Professional Certificate
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest and dedication to the AI/ML field, evidenced by their specialized degree, numerous AI-focused projects, and relevant certifications. The diversity of projects (computer vision, NLP/LLMs, full-stack) indicates a broad technical curiosity and adaptability. However, the experience is primarily academic and internship-based, which might require mentorship to fully integrate into a fast-paced, production-oriented engineering culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-component systems (e.g., Multi-Agent Agentic AI Customer Support System). Collaboration is mentioned in the Python Development Intern role, suggesting an ability to work in a team. The academic nature of most projects means real-world operational fit and experience with production-grade systems, scalability, and maintenance are yet to be fully demonstrated.