AI Engineer with less than a year in Python, MERN Stack & AI/ML Systems
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Assessing your cultural and operational fit
Software Engineer focused on backend systems, REST APIs, and scalable AI applications. Experienced in the MERN stack, Python, and real-time data pipelines. Proven ability to build modular, high-performance architectures, develop autonomous AI agent workflows, and optimize system reliability for data-intensive applications.
CGC University
B.Tech · Computer Science
August 1, 2023 – June 30, 2027
Vidyutam Verde NCESOL
Edge AI Intern
March 1, 2026 – Present
Mohali, Punjab, India
Code Shift IT Solutions
Full-Stack Intern
May 1, 2025 – July 1, 2025
Mohali, Punjab, India
Placify (Placement Management Portal)
January 1, 2026 – Present
Designed a comprehensive college placement platform with Role-Based Access Control (RBAC) and Docker deployment. Implemented real-time WebSocket communication via Socket.io for live notifications and dynamic interview coordination. Built modular backend microservices in Express to process high volumes of student records and concurrent API requests. Developed a multi-tenant React dashboard using Chart.js to visualize and track complex placement metrics.
View ProjectAgentic AI Travel Planner
January 1, 2026 – Present
Built an autonomous itinerary generation engine using LangChain and GPT-4 to dynamically resolve strict user constraints. Developed a decoupled FastAPI backend with clean RESTful boundaries to execute high-performance tool-calling workflows. Applied prompt engineering and chain-of-thought processing to ensure highly reliable, hallucination-free JSON outputs.
View ProjectAWS Academy Generative AI Foundations
AWS Academy
June 1, 2026 – Present
Getting Started with Artificial Intelligence
IBM
June 1, 2026 – Present
Oracle Databases for Developers (90% Score)
Oracle
June 1, 2026 – Present
MongoDB Program
MongoDB
June 1, 2026 – Present
SQL
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in hackathons, community leadership, and diverse academic projects (full-stack and AI) suggests a proactive, collaborative, and learning-oriented individual. This aligns well with a dynamic and innovative engineering culture. The focus on AI and data processing indicates a strong interest in cutting-edge technologies, which is a good fit for an AI Engineer role. The academic background and certifications further reinforce a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through LeetCode achievements and hackathon participation. Leadership roles in community events suggest good organizational and teamwork capabilities. The ability to work on diverse projects (full-stack and AI) indicates adaptability and a broad technical interest. However, with limited professional experience, the operational fit for a senior role would require further validation of independent decision-making and project ownership.