AI Engineer with 3+ years in Data Science, AI, and MERN Stack Development
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Data Science student with hands-on experience in AI, MERN stack, and data analytics. Applied AI concepts in search algorithms, knowledge representation, optimization, and NLP using React, FastAPI, and Supabase. Developed full-stack web applications and AI platforms, and has expertise in data analysis, machine learning, and project management tools like Git and Trello. Proficient in Python for statistical analysis and predictive modeling.
Punjab University College of Information Technology
BSc. (Honors) · Data Science
August 1, 2022 – June 30, 2026
Punjab Group of Colleges
Intermediate · Computer Science
June 1, 2022 – May 31, 2022
Govt Girls High School
Matric
June 1, 2020 – May 31, 2020
Netsol
AI intern
January 1, 2025 – Present
India
KeepCoders
MERN stack intern
January 1, 2025 – Present
India
Devclub
MERN stack intern
January 1, 2023 – Present
India
ResearchFlow
January 1, 2025 – June 1, 2026
Co-developed an end-to-end AI platform that consolidates multi-source academic searches to streamline fragmented literature reviews. Architected a Retrieval-Augmented Generation (RAG) pipeline with vector databases for intelligent paper summarization and context-aware querying.
SafeSpend
January 1, 2025 – January 1, 2025
Developed a full-stack web app with 9 Islamic finance calculators, authentication, history tracking, and an AI chatbot.
View ProjectNextStac
January 1, 2025 – January 1, 2025
Implemented Services section for the NextStac portfolio website, enhancing content structure and user navigation.
View ProjectStatistical Analysis of Employment Turnover
January 1, 2024 – January 1, 2024
Analysed attrition factors using hypothesis testing, EDA, and predictive modelling in Python to propose retention strategies using Python (Pandas, NumPy, Matplotlib, Seaborn).
The complete full stack web development bootcamp
Udemy
January 1, 2023 – Present
Data Analytics and Business Intelligence
DigiSkills
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse interest in both academic AI research (ResearchFlow, Statistical Analysis) and practical web application development (SafeSpend, NextStac). The internships at Netsol (AI intern) and KeepCoders/Devclub (MERN stack intern) align well with a technical, project-driven culture. The pursuit of a Data Science degree and various certifications indicates a commitment to continuous learning and skill development, which is a positive cultural fit for innovation-focused environments. The target role of 'AI Engineer' is well-supported by the academic focus and internship experiences.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate an ability to work in team settings (co-developed projects), manage tasks (Trello for Agile), and understand deployment processes (CI/CD). The academic background in Data Science and multiple internships suggest a proactive and learning-oriented attitude. However, the descriptions are somewhat generic, making it difficult to assess specific soft skills like problem-solving under pressure or advanced communication nuances.